[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"chains-groupcat":3,"experts-list":383,"experts-coverage":790,"tags-groups":792},[4,15,22,27,34,42,51,58,65,71,77,85,90,96,104,110,115,122,126,131,136,142,147,153,158,164,170,176,181,187,193,198,203,208,213,218,224,230,235,241,245,251,255,260,266,272,278,283,289,296,302,306,311,317,323,329,335,340,345,350,356,360,366,371,375,379],{"id":5,"name":6,"category":7,"groupCategory":8,"intro":9,"scale":10,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":14},"ch60_E11","LED与第三代半导体产业链","战略性新兴产业","EMERGING","碳化硅、氮化镓、LED照明、功率器件",null,"成长期","VERIFIED",8,92,{"id":16,"name":17,"category":7,"groupCategory":8,"intro":18,"scale":19,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":21},"e0c81c4e-878c-4944-9633-2c202497ef16","云计算与大数据产业链","云服务、数据中心、数据处理、数据交易","中国云计算市场规模约8288亿元（信通院，2024年，同比+34.4%），其中公有云6216亿元；智能算力规模超1590 EFLOPS（工信部，2026-01）",12,163,{"id":23,"name":24,"category":7,"groupCategory":8,"intro":25,"scale":26,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":14},"00ee3af3-fe37-4d60-81ef-2833c238866c","人工智能产业链","AI芯片、大模型、算法框架、AI应用","中国人工智能核心产业规模超1.2万亿元(工信部，2025)",{"id":28,"name":29,"category":7,"groupCategory":8,"intro":30,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":33},"ch60_S02","人才与教育供给链","高等教育、职业教育、人才引进、技能培训","成熟期",7,28,{"id":35,"name":36,"category":37,"groupCategory":38,"intro":39,"scale":10,"maturity":40,"checkState":12,"nodeCount":32,"companyCount":41},"ch60_T08","传统汽车产业链","传统产业","TRADITIONAL","燃油车整车及零部件，向新能源汽车转型","转型期",119,{"id":43,"name":44,"category":45,"groupCategory":46,"intro":47,"scale":10,"maturity":48,"checkState":12,"nodeCount":49,"companyCount":50},"ch60_F12","元宇宙与XR产业链","未来产业","FUTURE","VR\u002FAR\u002FMR、数字孪生、数字人、空间计算","孕育期",6,79,{"id":52,"name":53,"category":54,"groupCategory":8,"intro":55,"scale":10,"maturity":11,"checkState":12,"nodeCount":56,"companyCount":57},"ch60_E26","光子（光电子）产业链","新兴产业","从光电子材料、光芯片、光器件\u002F模块，到激光装备、光显示、光传感、光计算与光子集成，是AI算力与信息时代的“光速动脉”。",10,34,{"id":59,"name":60,"category":45,"groupCategory":46,"intro":61,"scale":62,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":64},"48f1ae82-a07c-4d67-93c0-abb71a5d1e0d","具身智能与人形机器人产业链","人形机器人本体、具身大模型、灵巧手、核心零部件","中国人形机器人整机企业超140家、发布产品超330款(工信部，2025)；产业整体处量产初期，市场规模待权威口径",9,138,{"id":66,"name":67,"category":7,"groupCategory":8,"intro":68,"scale":69,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":70},"d5c035fb-13ce-442e-b94e-6ac79b0b5b85","区块链与Web3产业链","区块链底层、联盟链、数字资产、分布式应用","中国区块链市场规模IDC口径2025年超32亿美元；国内区块链信息服务备案编号累计发放20批次4223个（国家网信办《国家信息化发展报告2025》）",44,{"id":72,"name":73,"category":37,"groupCategory":38,"intro":74,"scale":75,"maturity":40,"checkState":12,"nodeCount":63,"companyCount":76},"fa3b59f4-0fc7-4f9d-bff0-94d4498b3e7c","医药制造产业链（传统）","化学药、中药、生物药传统制造","2025年规模以上医药工业企业营业收入约2.96万亿元(国家统计局);中国生物医药市场规模约2.24万亿元(行业研究机构口径,2025)",59,{"id":78,"name":79,"category":7,"groupCategory":46,"intro":80,"scale":81,"maturity":82,"checkState":12,"nodeCount":83,"companyCount":84},"90644f83-8a70-4b3a-ad53-8a2b0e397d5a","卫星互联网","卫星互联网指以低轨星座为基础，提供宽带通信、导航增强、物联网接入等天地一体化信息服务的产业。本链聚焦卫星组网运营、地面设备与终端及行业应用；火箭与卫星制造发射的运载环节归入'商业航天'链。核心工程包括GW星座(中国星网约1.3万颗)与千帆\u002FG60星座(垣信约1.5万颗)。到2030年产业链规模有望突破1.2万亿元(券商口径)。","中国低轨卫星互联网到2030年带动产业链规模有望突破1.2万亿元(券商\u002F机构口径，2026)；2024年起两大星座进入高密度组网","TRL6-8(组网\u002F试运行)；消费终端TRL5-7",15,40,{"id":86,"name":87,"category":45,"groupCategory":46,"intro":88,"scale":10,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":89},"ch60_F07","可控核聚变产业链","托卡马克、高温超导、聚变堆材料",84,{"id":91,"name":92,"category":45,"groupCategory":46,"intro":93,"scale":94,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":95},"f3e1775a-755b-4ffd-acaf-e4bff5f6d75b","合成生物产业链","合成生物学平台、生物制造、细胞工厂","中国生物制造产业总规模约1.1万亿元,生物发酵产品产量占全球70%以上(工信部,2025);其中食品及添加剂、生物制药两个细分领域年产值均超4000亿元",91,{"id":97,"name":98,"category":7,"groupCategory":46,"intro":99,"scale":100,"maturity":101,"checkState":12,"nodeCount":102,"companyCount":103},"9b4f4311-cda6-4461-b352-ab269ef8688b","商业航天","商业航天指以市场化方式配置资源、由商业主体提供运载火箭研制发射、卫星制造及相关服务的产业。本链聚焦民营\u002F商业运载火箭与商业卫星的研制、发射、测运控及应用；卫星组网运营与通信导航应用的终端\u002F运营部分与'卫星互联网'链交叉。2024年中国商业航天市场规模约2.3万亿元(含带动效应，口径较宽)。","中国商业航天市场规模约2.3万亿元(国家发改委专家口径\u002F中商产业研究院，2024)，预计2025年约2.8万亿元；该口径含产业链带动效应，直接航天制造发射产值远小于此","TRL6-8(火箭发射常态化)；可重复使用火箭TRL4-6；太空旅游TRL3-4",18,57,{"id":105,"name":106,"category":45,"groupCategory":46,"intro":107,"scale":108,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":109},"deccf963-6b65-4294-9291-483b47327169","基因与生物技术产业链","基因编辑、合成生物学、生物制造","中国基因组测序市场规模约328.6亿元(灼识咨询\u002F中国医疗器械行业协会基因检测分会白皮书,2025);中国细胞与基因治疗(CGT)市场规模2025年首次突破500亿元(行业公开统计,2025)",37,{"id":111,"name":112,"category":7,"groupCategory":8,"intro":113,"scale":114,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":109},"3372d10f-1628-4dfb-b341-db35656c5d6d","基础软件与工业软件产业链","操作系统、数据库、工业软件、CAD\u002FEDA","2025年我国工业互联网核心产业规模超1.6万亿元，带动工业增加值约2.5万亿元；具有一定行业影响力的工业互联网平台超360家（工信部，2026）",{"id":116,"name":117,"category":7,"groupCategory":8,"intro":118,"scale":119,"maturity":120,"checkState":12,"nodeCount":83,"companyCount":121},"b6de4fda-3782-483a-a0f8-d2fffa8d8224","大数据\u002F数据要素","大数据\u002F数据要素产业围绕数据资源的采集、治理、存储、流通交易与开发利用，覆盖上游数据采集与数据库\u002F存储、中游数据治理与数据中台\u002F数据交易与公共数据授权运营、下游BI分析与行业数据应用。本链聚焦数据作为生产要素的流通与价值释放，区别于偏算力基础设施的云计算\u002F算力链、偏模型算法的人工智能链。2025年我国数据产业规模达6.78万亿元、数据企业48.2万家（国家数据局，2026-08）。","2025年我国数据产业规模达6.78万亿元，同比增长15.7%，数据企业48.2万家（国家数据局，2026-08）","TRL7-9（大数据平台成熟商用，数据要素流通\u002F授权运营处制度建设早期）",63,{"id":123,"name":124,"category":37,"groupCategory":38,"intro":125,"scale":10,"maturity":31,"checkState":12,"nodeCount":49,"companyCount":33},"ch60_T11","家电制造产业链","家用电器制造，向智能家电升级",{"id":127,"name":128,"category":37,"groupCategory":38,"intro":129,"scale":130,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":103},"9f188ad6-e927-4dda-afc4-dde4683089eb","工程机械产业链","工程机械、矿山机械、农业机械制造","2024年装备制造业增加值占规上工业34.6%；工业机器人产量55.6万套(+14.2%)、销量30.2万台占全球54%，机器人行业营收2378.9亿元(国家统计局\u002F工信部,2024)",{"id":132,"name":133,"category":37,"groupCategory":38,"intro":134,"scale":10,"maturity":40,"checkState":12,"nodeCount":13,"companyCount":135},"ch60_T04","建材产业链","水泥、玻璃、陶瓷、新型建材",49,{"id":137,"name":138,"category":37,"groupCategory":38,"intro":139,"scale":140,"maturity":40,"checkState":12,"nodeCount":56,"companyCount":141},"52294d28-07dc-4f86-844f-6b5bea542726","建筑与房地产产业链","房屋建筑、土木工程建筑、建筑安装装饰","2024年全国建筑业总产值32.7万亿元、增加值约9万亿元，装配式建筑占新建建筑比例达30%以上(住建部,2024\u002F十四五)",72,{"id":143,"name":144,"category":7,"groupCategory":8,"intro":145,"scale":10,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":146},"ch60_E24","数字创意产业链","数字内容、创意设计、网络游戏、短视频、元宇宙",90,{"id":148,"name":149,"category":7,"groupCategory":8,"intro":150,"scale":151,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":152},"e2575327-d150-4ced-be3f-d49c6d2ecedb","新一代通信网络产业链","5G\u002F6G、光通信、卫星通信、网络设备","我国已建成5G基站483.8万座、5G-A覆盖超330个城市，移动物联网终端28.88亿户（工信部，2026-01）；新一代信息技术产业整体规模无单一官方口径，待核实",53,{"id":154,"name":155,"category":7,"groupCategory":8,"intro":156,"scale":10,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":157},"ch60_S01","新型基础设施要素链","5G基站、数据中心、工业互联网、算力枢纽",47,{"id":159,"name":160,"category":7,"groupCategory":8,"intro":161,"scale":162,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":163},"8863836c-acbe-4a9e-9321-d68ac6a064d2","新型显示产业链","LCD\u002FOLED\u002FMicroLED面板、显示材料、显示装备","中国新型显示产业产值约7400亿元(中国电子信息产业发展研究院\u002F赛迪，2024)，全球市场占比超49%；2025年总产值突破8000亿元",41,{"id":165,"name":166,"category":7,"groupCategory":8,"intro":167,"scale":168,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":169},"b0614f9a-1b75-4f3d-8c55-ad54651ed608","新材料产业链","先进金属材料、高分子材料、复合材料、纳米材料","中国新材料产业总产值2024年约8.7万亿元,预计2025年约10万亿元(工信部\u002F赛迪口径,2025)",142,{"id":171,"name":172,"category":7,"groupCategory":8,"intro":173,"scale":174,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":175},"91feac65-a1bd-4369-a4e1-7206bb918d5a","新能源发电与储能产业链","光伏、风电、锂电储能、氢能储能、新型储能，首批试点","2025年全国风电光伏新增装机超4.38亿千瓦(风电1.2亿、光伏3.18亿),累计突破18.4亿千瓦(国家能源局,2026-02);新型储能累计突破1亿千瓦(国家发改委,2026-03)",206,{"id":177,"name":178,"category":7,"groupCategory":8,"intro":179,"scale":10,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":180},"ch60_E19","新能源装备产业链","光伏设备、风电设备、锂电设备、氢能设备",80,{"id":182,"name":183,"category":7,"groupCategory":8,"intro":184,"scale":185,"maturity":31,"checkState":12,"nodeCount":20,"companyCount":186},"6cae6b65-a8de-451e-a5af-b47ed1712fcc","智能终端产业链","智能手机、PC、可穿戴设备、智能家电","2025年中国智能手机出货量约2.85亿部，同比-0.6%，华为16.4%份额第一（IDC，2026-01）；全球智能手机出货约12.6亿部，同比+1.9%",225,{"id":188,"name":189,"category":7,"groupCategory":8,"intro":190,"scale":191,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":192},"2eb24ee1-32bc-4b5e-ad92-d6702a67412e","智能网联新能源汽车产业链","新能源整车、三电系统、自动驾驶、车联网","2025年新能源汽车产销分别完成1662.6万辆和1649万辆,新车销量渗透率47.9%(中汽协\u002F工信部,2026-01)",99,{"id":194,"name":195,"category":37,"groupCategory":38,"intro":196,"scale":197,"maturity":31,"checkState":12,"nodeCount":63,"companyCount":64},"1e4e94ff-2688-4052-9a78-0fefebcd78cf","有色金属产业链","有色金属冶炼和压延加工，包含铜铝铅锌和稀有金属","2024年全国煤炭产量47.8亿吨、约占一次能源生产总量66.6%，煤矿智能化产能占比超50%(中国煤炭工业协会\u002F国家能源局,2024)",{"id":199,"name":200,"category":45,"groupCategory":46,"intro":201,"scale":10,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":202},"ch60_F11","未来信息产业链","光计算、存算一体、神经形态芯片",118,{"id":204,"name":205,"category":45,"groupCategory":46,"intro":206,"scale":10,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":207},"ch60_F10","未来健康产业链","再生医学、抗衰老、精准医疗、数字疗法",39,{"id":209,"name":210,"category":45,"groupCategory":46,"intro":211,"scale":10,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":212},"ch60_F15","未来制造产业链","4D打印、自组装制造、分子制造、纳米制造",144,{"id":214,"name":215,"category":45,"groupCategory":46,"intro":216,"scale":10,"maturity":48,"checkState":12,"nodeCount":49,"companyCount":217},"ch60_F08","未来材料产业链","石墨烯、超导材料、超材料、智能材料",70,{"id":219,"name":220,"category":45,"groupCategory":46,"intro":221,"scale":222,"maturity":48,"checkState":12,"nodeCount":49,"companyCount":223},"c14c039a-3453-4e0f-9403-5ae2cdc08612","未来网络产业链","6G、未来互联网架构、空天地一体化网络","6G处预研期，无独立商用市场规模(中国信通院\u002F工信部，2025)；预计2030年前后商用",30,{"id":225,"name":226,"category":45,"groupCategory":46,"intro":227,"scale":228,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":229},"ee14d5c8-2b2c-455d-be3b-cb80a59c445c","未来能源产业链","新型核能、空间太阳能、零碳能源系统","待核实(未来能源无统一市场规模口径;参照:2025年我国新型储能累计装机突破1亿千瓦,占全球40%以上)",100,{"id":231,"name":232,"category":37,"groupCategory":38,"intro":233,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":234},"ch60_T15","橡胶塑料制品产业链","橡胶和塑料制品业，支撑性材料",75,{"id":236,"name":237,"category":45,"groupCategory":46,"intro":238,"scale":239,"maturity":48,"checkState":12,"nodeCount":32,"companyCount":240},"29473ba5-a97f-4dc4-bf08-62a009d87501","氢能与燃料电池产业链","制氢储氢运氢加氢、燃料电池","待核实(氢能产业链整体规模无统一口径;截至2024年底可再生能源电解水制氢已建成产能约12.5万吨\u002F年,国家能源局《中国氢能发展报告2025》)",73,{"id":242,"name":243,"category":7,"groupCategory":8,"intro":244,"scale":10,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":76},"ch60_E15","海洋装备产业链","深海装备、海上风电、海水淡化、海洋生物医药",{"id":246,"name":247,"category":45,"groupCategory":46,"intro":248,"scale":249,"maturity":48,"checkState":12,"nodeCount":20,"companyCount":250},"f33f81a5-0e29-46b3-85a8-883bb20381c3","深海空天开发产业链","深海探测、太空开发、近地轨道经济","待核实(深海科技无统一市场规模口径;2025年海洋工程装备制造业增加值约1858亿元,其中深海高端装备为核心增量)",173,{"id":252,"name":253,"category":37,"groupCategory":38,"intro":254,"scale":10,"maturity":31,"checkState":12,"nodeCount":49,"companyCount":50},"4279a2a3-b216-4dcc-885a-2895599733d5","烟草及其他传统制造产业链","烟草制品业、其他制造业兜底",{"id":256,"name":257,"category":37,"groupCategory":38,"intro":258,"scale":10,"maturity":31,"checkState":12,"nodeCount":20,"companyCount":259},"ch60_T18","煤炭产业链","煤炭勘探、建设、智能化采掘、洗选、储运，延伸燃煤发电、清洁供热与现代煤化工，是国家能源安全的“压舱石”。",35,{"id":261,"name":262,"category":7,"groupCategory":8,"intro":263,"scale":264,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":265},"7f61bb29-c16e-416f-9315-59b78b7b5ea1","物联网产业链","传感器、RFID、物联网模组、物联网平台","我国移动物联网终端用户达28.88亿户，占移动终端连接数61.3%（工信部《2025年通信业统计公报》，2026-01）；物联网整体市场规模待核实",54,{"id":267,"name":268,"category":37,"groupCategory":38,"intro":269,"scale":270,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":271},"38794d83-8b10-4ca3-bff4-398c57e4ceef","现代农业与生物育种产业链","生物育种、智慧农业、农产品深加工、农机装备","2024年全国粮食总产量14130亿斤、农作物耕种收综合机械化率76.7%、农业科技进步贡献率超63%、良种覆盖率超96%(农业农村部\u002F国家统计局,2024-2025)",129,{"id":273,"name":274,"category":37,"groupCategory":38,"intro":275,"scale":276,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":277},"a20c5f10-4477-4739-abca-fb0550ebdcc2","现代商贸物流产业链","批发零售、物流配送、仓储邮政","2024年交通固定资产投资3.79万亿元、营业性货运量568.75亿吨、快递业务量1750.84亿件、高铁营业里程4.8万公里(交通运输部,2024)",32,{"id":279,"name":280,"category":7,"groupCategory":8,"intro":281,"scale":10,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":282},"ch60_E20","生物医药产业链","创新药、生物制品、CXO、基因与细胞治疗",61,{"id":284,"name":285,"category":37,"groupCategory":38,"intro":286,"scale":287,"maturity":40,"checkState":12,"nodeCount":13,"companyCount":288},"14b1e674-0fa9-4436-bcaa-293d5530db1c","电力能源（传统）产业链","火电、水电、传统发电，向新型电力系统转型","2024年全国全社会用电量98521亿千瓦时、发电装机容量约33.5亿千瓦、发电量约10.09万亿千瓦时(国家能源局,2024)",69,{"id":290,"name":291,"category":37,"groupCategory":38,"intro":292,"scale":293,"maturity":31,"checkState":12,"nodeCount":294,"companyCount":295},"c8bc1bbd-78c7-4a80-bb70-736dbee84c96","石化化工产业链","石油加工、炼焦和化学原料和化学制品制造，向精细化工、新材料升级","2024年石化化工行业(不含油气开采)主营业务收入约15万亿元、乙烯产量超5000万吨(工信部,2024)",11,96,{"id":297,"name":298,"category":7,"groupCategory":8,"intro":299,"scale":300,"maturity":31,"checkState":12,"nodeCount":294,"companyCount":301},"6296069d-2d19-4c7b-9e33-5ecd638b9a7f","科技金融服务链","创投、产业基金、科技信贷、上市服务、知识产权金融","国家中小企业发展基金规模357亿元、累计带动股权融资超4800亿元；国家融资担保基金再担保累计4.73万亿元(财政部,2024)",51,{"id":303,"name":304,"category":37,"groupCategory":38,"intro":305,"scale":10,"maturity":31,"checkState":12,"nodeCount":13,"companyCount":146},"ch60_T05","纺织服装产业链","纺织业、纺织服装服饰业，向品牌化功能化升级",{"id":307,"name":308,"category":7,"groupCategory":8,"intro":309,"scale":310,"maturity":11,"checkState":12,"nodeCount":49,"companyCount":223},"b28f45aa-a435-46e4-af93-7a853d95ccda","网络安全产业链","网络安全、数据安全、工控安全、密码技术","2025年我国信息安全产品和服务收入2235亿元，同比+6.7%（工信部《2025年软件业运行情况》）；赛迪口径网络安全市场规模约964.8亿元（2025）",{"id":312,"name":313,"category":45,"groupCategory":46,"intro":314,"scale":315,"maturity":48,"checkState":12,"nodeCount":32,"companyCount":316},"2a253269-c571-41c3-8606-5870e748d81a","脑科学与类脑智能产业链","脑机接口、类脑计算、神经科学","中国脑机接口市场规模约32.0亿元(赛迪顾问，2024)；2025年有望突破38亿元，企业总量超200家",31,{"id":318,"name":319,"category":7,"groupCategory":8,"intro":320,"scale":321,"maturity":48,"checkState":12,"nodeCount":32,"companyCount":322},"55f40c95-c426-4213-9b23-1fefd4dd39ed","自动驾驶与低空经济产业链","L4+自动驾驶、eVTOL、低空飞行、无人系统","中国低空经济规模约6702.5亿元(赛迪顾问，2024)；2025年预计达1.5万亿元(中国民航局)，2035年有望突破3.5万亿元",60,{"id":324,"name":325,"category":7,"groupCategory":8,"intro":326,"scale":327,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":328},"2e3ee32f-a683-4ed6-a055-642829b99f2c","航空航天装备产业链","大飞机、通用航空、商业航天、卫星互联网","航空航天为国家队主导，无统一公开产业规模口径；C919累计交付16架(2024底)、订单超1400架",98,{"id":330,"name":331,"category":37,"groupCategory":38,"intro":332,"scale":333,"maturity":40,"checkState":12,"nodeCount":32,"companyCount":334},"dc6de969-6636-4914-a6cb-7be786597c08","船舶海工装备产业链","船舶制造、海洋工程装备，向高端化转型","2025年海洋工程装备制造业增加值约1858亿元(+10.2%),新接海工订单金额占世界44.6%(连续8年第一);海洋船舶工业增加值1811亿元(+25.1%),造船三大指标国际份额连续16年第一(自然资源部\u002F工信部,2026-03)",33,{"id":336,"name":337,"category":7,"groupCategory":8,"intro":338,"scale":339,"maturity":11,"checkState":12,"nodeCount":294,"companyCount":288},"f4c900b2-e906-4332-a55a-910a870d66e7","节能环保产业链","节能装备、环保装备、资源循环利用、碳达峰碳中和","2024年全国生态环保产业年营收连续三年超2.2万亿元；垃圾焚烧发电市场规模约730亿元(全联环境服务业商会\u002F华经,2024)",{"id":341,"name":342,"category":7,"groupCategory":8,"intro":343,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":344},"ch60_E13","轨道交通装备产业链","高铁、城轨、信号系统、关键零部件",36,{"id":346,"name":347,"category":37,"groupCategory":38,"intro":348,"scale":10,"maturity":31,"checkState":12,"nodeCount":13,"companyCount":349},"ch60_T06","轻工造纸产业链","造纸、家具、印刷、包装、日用消费品",107,{"id":351,"name":352,"category":45,"groupCategory":46,"intro":353,"scale":354,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":355},"0605ff18-376d-4ef9-b9bd-c8d2d767fbf1","量子信息产业链","量子计算、量子通信、量子测量","2025年我国量子计算产业规模约115.6亿元、年增速超30%（赛迪，转引自人民网2026-08）；量子科技整体规模有望突破200亿元（东方财富研报\u002F赛迪，2025）",58,{"id":357,"name":358,"category":37,"groupCategory":38,"intro":359,"scale":10,"maturity":40,"checkState":12,"nodeCount":63,"companyCount":157},"ch60_T01","钢铁产业链","黑色金属冶炼及压延加工业，向特种钢、绿色低碳转型",{"id":361,"name":362,"category":7,"groupCategory":8,"intro":363,"scale":364,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":365},"be5c17ae-9a06-4828-8111-6b0c0b4c7c2a","集成电路产业链","集成电路设计、制造、封装测试、装备材料，首批试点","中国集成电路全产业销售额约1.43万亿元(中国半导体行业协会，2024)；其中设计业约6460亿元(+11.9%)、制造业增长约14.5%、封测业增长约6.6%",196,{"id":367,"name":368,"category":37,"groupCategory":38,"intro":369,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":370},"ch60_T07","食品加工产业链","农副食品加工、食品制造、饮料制造",109,{"id":372,"name":373,"category":7,"groupCategory":8,"intro":374,"scale":10,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":157},"ch60_E21","高性能医疗器械产业链","高端影像设备、体外诊断、植介入器械、手术机器人",{"id":376,"name":377,"category":54,"groupCategory":8,"intro":378,"scale":10,"maturity":11,"checkState":12,"nodeCount":56,"companyCount":259},"ch60_E27","高端专用装备产业链","面向矿山、冶金、石化、建材、能源等领域的大型化、重型化、智能化成套专用装备与工程成套，是高端装备制造与进口替代的核心。",{"id":380,"name":381,"category":7,"groupCategory":8,"intro":382,"scale":10,"maturity":11,"checkState":12,"nodeCount":49,"companyCount":265},"ch60_E12","高端数控机床产业链","五轴机床、数控系统、伺服电机、精密刀具",{"list":384,"total":788,"page":789,"pageSize":223,"totalPages":789},[385,401,412,436,453,470,491,506,523,543,570,596,622,651,666,682,706,720,729,740,755,770,780],{"id":386,"name":387,"orgName":388,"school":389,"gender":390,"title":391,"degree":392,"honor":10,"position":10,"researchDirection":393,"intro":394,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":397,"nameValid":398,"tags":399,"tagNames":400},"a3d87d74-2510-1278-d97c-6a58f802a3d5","张军","长安大学工程机械学院","长安大学","男","副教授","工学博士","研究方向：1、路面缺陷无损检测技术,集中在信号处理、建模分析与深度学习方向；2、工程机械电传动控制、无人驾驶技术，集中在电传动控制技术、环境感知技术等方向；3、工程机械电液控制技术；4、公\u002F铁路的养护技术与装备；5、大数据应用和深度学习。研究生招生意向：欢迎对无损检测技术、深度学习、电液控制、智能控制感兴趣的学生；由于项目需要开展工程机械无人驾驶相关工作，欢迎对工程设备无人驾驶感兴趣的同学报考，目前项目组在飞机牵引车开展了前期基础工作。企业合作意向：公\u002F铁路隐性缺陷检测服务及检测装备研发，已完成用于海南高速、青藏公路的路面养护车;基于探地雷达的路面病害智能化识别技术服务和科研工作, 可以从Ascan，Bscan和Cscan等多源信息开展探地雷达的信号识别，目前已经针对3D GPR在高速公路的应用开发了智能识别软件。工程机械智能化控制系统设计，特别是涉及环境感知、决策和轨迹规划的智能工程装备的方向，已为主机厂完成挖掘机、压路机、除雪车、高空作业车、桥梁检测车、越野叉车（已量产）、绿篱机、抽水蓄能斜坡牵引平台等装备的控制系统设计；工程机械电传动控制，特别是传统设备从液压传动改为电传动的智能控制方向以及工程装备车辆的无人驾驶，已为主机厂完成电传动飞机牵引车、电驱动搅拌车（已量产）、液力缓速器的控制系统设计。工程装备的状态监控系统，已完成低海拔降氧舱测控系统、煤矿远程钻机监控系统、挖掘机、越野叉车、压路机、甘蔗收割机等设备的状态监控，监控方式采用基于PC、Android平台的监控。机械臂开发：针对公路养护，特别是隧道养护开发了6 DOF, 4DOF的清洗机械臂。抽蓄大坝斜坡施工无人驾驶设备：针对抽蓄大坝30°斜坡摊铺施工，已开发自适应的无人驾驶运料小车，在乌海抽蓄电站应用良好。指导学生：2025年8月 刘宇新 俞琛枭 于梦淳等做机械臂清洗实验2025毕业研究生：袁明，孙丰源，晋可，陈俊杰，孙振国，林长青，向富尧，尹泽伟（从左到右）2025年6月王一璇 周志浩在乌海调试无人运料小车2025年6月 宋培建 石彦龙在贵州铜仁实验2025年4月 袁明 陈俊杰 介绍清洗机械臂2024年9月 向富尧 陈俊杰 刘宇新 孙丰源 王一璇 在宜昌三峡大坝（调试斜坡摊铺后）2024年8月在宜昌调试抽水蓄能牵引平台 孙丰源（左1）、刘宇新（左2）、陈俊杰（中间）、孙丰源（右2）、王一璇（右）2024年6月孙丰源（右）与西飞新宇李国成（校友）在蒲城机场交付25t飞机牵引车，开展现场实验2024年1月向富尧（左）、陈俊杰（左2）、黄明辉、孙丰源在渭水校区调试飞机牵引车2024年1月 孙振国（左）、 我（中间）和尹泽伟（右）从河海大学汇报结束后游览夫子庙2023年12月 孙振国等采用GPR与IRT进行漏水检测2023年6月14日欢送2023届毕业生（中排 陈俊杰 高鸣伟  王超、杨雨升 我 李有鑫 郭玉堃 姜文涛 李宏伟   ）2022年6月19日（前排：杨晓坤-李有鑫--毕业生  许和军-我-朱欣-杨哲-阳星）2021.6.24 傍晚 向柯（大创指导学生，华为工作）与我2021.6.19本部合影（姜文涛-王超-郭宇堃-朱欣-刘甫-我-桂升-文川-李有鑫-杨雨升-杨哲-阳星）本科毕业组-2021年6月17日于渭水鸿远教学楼3楼（从左到右： 陈俊武-王睿文-张依依-张军-陶建宇-侯刚）2020年毕业生 （2020.6.29摄于长大本部，从左到右 赵晓通 鲁亚明 张超 张军 文艳格 李义斌 刘甫 赵晓通 江桂升 ，粗体名字为毕业生）","简介张军，1980年8月生，四川广汉人，工学博士，副教授，博士生导师。主持科研项目20项，参加国家自然基金项目两项，参与国家重大研发计划2项。编著教材3部（“工程机械典型控制系统”，“传感器与测试技术”（中文和英文版）），获专利100余项（发明专利40项，实用新型60余项），获软件著作权20余项，国际发明4项，美国发明3项。发表期刊论文20余篇，其中SCI论文20篇。工作经历：2003-2008，华中农业大学农业机械化工程专业，进行农产品无损检测技术研究，获博士学位；2008-2010，长安大学与常林股份有限公司博士后工作站，进行中型挖掘机控制系统的研究；2018~2019年在美国克莱姆森大学汽车学院访学，进行深度学习研究；2008至今，长安大学工程机械学机械电子系，主讲《传感器与测试技术》（含双语）、《计算机控制系统》、《电工电子技术2》（留学生）、车辆电液控制技术（研究生）等课程。研究方向：（1）工程机械电液控制技术，已为企业开发挖掘机、智能变幅变频压路机、桁架式桥检车、绿篱机、甘蔗收割机、飞机牵引车、越野叉车、缓速器等控制系统；（2）工程机械电传动技术，为企业开发飞机牵引车、电驱动搅拌车等系统；（3）工程机械无人驾驶技术，主要涉及飞机牵引车的无人驾驶技术，抽水蓄能大坝斜坡无人化施工；（4）基于探地雷达的路面无损检测技术。现指导研究生18人，已毕业研究生30余人。每年招收研究生4名，欢迎有志于从事控制系统研发、雷达信号分析、深度学习的同学报考；同时每年招1-2名博士生（学术），主要从事探地雷达信号分析、目标识别与三维重构方向；欢迎工程博士报考。获奖：指导本科生\u002F研究生参加“机械创新”“挑战杯”“大学生创新创业”获国家级、省级等奖励20余项。2024年获中国公路协会科技进步二等奖（1\u002F10)，2018年获陕西省教育厅高等教育处教学成果二等奖（排名2\u002F5），2017年获河南省科技进步二等奖（排名7\u002F10），2015年，获长安大学最满意教师；2007获教育部科技成果完成者证书1项（排名4\u002F7）。通信地址：陕西省西安市南二环中段长安大学本部312信箱。TEL:15332496673 | Email: selfstudy@qq.com  \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     SCI期刊Scientific Reports编委期刊：IEEE Transactions on Industrial Electronics\u002FTASE\u002FTII, Consturction and Building Materials,Advances in Civil Engineering,Journal of Robotics，Measurment，浙江大学学报（工学版），中国公路学报等期刊审稿人 国际会议：Computer Science and Application Engineering(CSAE) 会议审稿人","陕西",false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fgcjxxy\u002Fzj101\u002Flist.htm",true,[],[],{"id":402,"name":403,"orgName":404,"school":404,"gender":10,"title":405,"degree":10,"honor":10,"position":10,"researchDirection":406,"intro":407,"province":408,"completeness":240,"avatarAuthorized":396,"sourceUrl":409,"nameValid":398,"tags":410,"tagNames":411},"d1013e_c34a932fab8b013d","朱健康","南方科技大学","讲席教授","新型CRISPR-Cas基因编辑技术的开发和应用（生物育种、分子检测、基因治疗）、表观遗传学（DNA甲基化和去甲基化）、植物逆境生物学、新型生物刺激剂开发","国际著名分子遗传学家和植物生物学家，美国科学院院士，南方科技大学讲席教授、前沿生物技术研究院院长，2022年起全职加入南方科技大学。发表论文超过550篇，连续多年入选全球“高被引科学家”。","广东省","https:\u002F\u002Fsustech.edu.cn\u002Fzh\u002Ffaculties\u002Fzhujiankang.html",[],[],{"id":413,"name":414,"orgName":415,"school":416,"gender":10,"title":417,"degree":10,"honor":10,"position":10,"researchDirection":418,"intro":419,"province":420,"completeness":141,"avatarAuthorized":396,"sourceUrl":421,"nameValid":398,"tags":422,"tagNames":435},"85823574-d28e-49e2-b8dd-c6ca638b0527","吕学晖","生物工程学院","重庆大学","教授","RNA调控如何调决定胚胎全能性\u002F多能性的建立及干细胞的分化；开发新方法用于鉴定未知的RNA调控元件并探究其功能；利用单细胞扰动组学(CRISPR筛选+单细胞测序)解析未知基因功能、细胞调控网络及疾病机制","【产业方向】生物医药，重庆大学，RNA调控如何调决定胚胎全能性\u002F多能性的建立及干细胞的分化；开发新方法用于鉴定未知的RNA调控元件并探究其功能；利用单细胞扰动组学(CRISPR筛选+单细胞测序)解析未知基因功能、细胞调控网络及疾病机制","重庆","http:\u002F\u002Ffaculty.cqu.edu.cn\u002Flvxuehui\u002Fzh_CN\u002Findex.htm",[423,426,429,432],{"code":424,"name":425},"GB-27","医药制造业",{"code":427,"name":428},"SEI-04","生物产业",{"code":430,"name":431},"CH-10","生物医药",{"code":433,"name":434},"FU-10","基因与细胞治疗",[425,428,431,434],{"id":437,"name":438,"orgName":439,"school":439,"gender":10,"title":440,"degree":10,"honor":10,"position":10,"researchDirection":441,"intro":442,"province":10,"completeness":141,"avatarAuthorized":396,"sourceUrl":443,"nameValid":398,"tags":444,"tagNames":452},"cca164cc-515d-41a6-929f-1a3d91b9f50a","张凯","南京信息工程大学","副研究员","生命健康分析；基于基因编辑（CRISPR\u002FCas）与功能核酸的电化学\u002F电致化学发光（ECL）生物传感器；柔性生物传感器","【产业方向】生物医药，南京信息工程大学，生命健康分析；基于基因编辑（CRISPR\u002FCas）与功能核酸的电化学\u002F电致化学发光（ECL）生物传感器；柔性生物传感器","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fzhangkai1\u002Fzh_CN\u002Findex.htm",[445,446,449,450,451],{"code":424,"name":425},{"code":447,"name":448},"GB-40","仪器仪表制造业",{"code":427,"name":428},{"code":430,"name":431},{"code":433,"name":434},[425,448,428,431,434],{"id":454,"name":455,"orgName":456,"school":456,"gender":10,"title":457,"degree":10,"honor":10,"position":10,"researchDirection":458,"intro":459,"province":460,"completeness":141,"avatarAuthorized":396,"sourceUrl":461,"nameValid":398,"tags":462,"tagNames":469},"c0c29aab-7947-47b7-8cd3-39b7d156d4cd","夏少波","中南大学","讲师","激光雷达；智能感知；机器学习及三维视觉，在 IEEE TIP；IEEE TGRS；ISPRS P&RS 等期刊以第一作者 \u002F 通讯作者身份","【产业方向】电子信息，中南大学，激光雷达；智能感知；机器学习及三维视觉，在 IEEE TIP；IEEE TGRS；ISPRS P&RS 等期刊以第一作者 \u002F 通讯作者身份","湖南","http:\u002F\u002Ffaculty.csu.edu.cn\u002Fxia_shaobo\u002Fzh_CN\u002Findex.htm",[463,466],{"code":464,"name":465},"GB-39","计算机、通信和其他电子设备制造业",{"code":467,"name":468},"CH-33","人工智能",[465,468],{"id":471,"name":472,"orgName":473,"school":416,"gender":10,"title":417,"degree":10,"honor":10,"position":10,"researchDirection":474,"intro":475,"province":420,"completeness":141,"avatarAuthorized":396,"sourceUrl":476,"nameValid":398,"tags":477,"tagNames":490},"e11ca67e-4095-48ad-b3be-d1e0c2e2525c","罗阳","医学院","疾病智慧预警；POCT 检测新技术；CRISPR-Cas 系统超敏检测技术；胞外囊泡高效分离与原位检测；新型纳米医学诊断技术；纳米材料杀菌技术","【产业方向】新材料，重庆大学，疾病智慧预警；POCT 检测新技术；CRISPR-Cas 系统超敏检测技术；胞外囊泡高效分离与原位检测；新型纳米医学诊断技术；纳米材料杀菌技术","http:\u002F\u002Ffaculty.cqu.edu.cn\u002FYangLuo11\u002Fzh_CN\u002Findex.htm",[478,481,484,487],{"code":479,"name":480},"GB-74","专业技术服务业",{"code":482,"name":483},"SEI-03","新材料产业",{"code":485,"name":486},"CH-13","新材料",{"code":488,"name":489},"FU-03","未来材料",[480,483,486,489],{"id":492,"name":493,"orgName":494,"school":495,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":496,"intro":497,"province":10,"completeness":141,"avatarAuthorized":396,"sourceUrl":498,"nameValid":398,"tags":499,"tagNames":505},"53f9f416-7671-4f25-a087-940a6d1fa32d","陈钊民","温州大学计算机与人工智能学院","温州大学","计算机视觉和医学图像处理，在计算机视觉相关领域的国际顶级期刊 （TPAMI；TIP；TMM；PR 等）和国际顶级会议（CVPR；ECCV；NeurIPS等）以第一\u002F通讯作者","【产业方向】人工智能，温州大学，计算机视觉和医学图像处理，在计算机视觉相关领域的国际顶级期刊 （TPAMI；TIP；TMM；PR 等）和国际顶级会议（CVPR；ECCV；NeurIPS等）以第一\u002F通讯作者","http:\u002F\u002Ffaculty.wzu.edu.cn\u002Fczm\u002Fzh_CN\u002Findex.htm",[500,501,504],{"code":464,"name":465},{"code":502,"name":503},"SEI-01","新一代信息技术产业",{"code":467,"name":468},[465,503,468],{"id":507,"name":508,"orgName":509,"school":510,"gender":10,"title":457,"degree":10,"honor":10,"position":10,"researchDirection":511,"intro":512,"province":513,"completeness":514,"avatarAuthorized":396,"sourceUrl":515,"nameValid":398,"tags":516,"tagNames":522},"96d445de-7274-45fb-9d8e-2d51036650a9","杜昕祺","大连理工大学控制科学与工程学院","大连理工大学","人工智能，机器学习， 强化学习， 多智能体系统，智能控制等。参与多项国家级；省部级课题研究。在IEEE TKDE；IEEE IOTJ；PR；ESWA；INS等国内外重要期刊和会议","【产业方向】人工智能，大连理工大学，人工智能，机器学习， 强化学习， 多智能体系统，智能控制等。参与多项国家级；省部级课题研究。在IEEE TKDE；IEEE IOTJ；PR；ESWA；INS等国内外重要期刊和会议","辽宁",67,"http:\u002F\u002Ffaculty.dlut.edu.cn\u002Fduxinqi\u002Fzh_CN\u002Findex.htm",[517,520,521],{"code":518,"name":519},"GB-73","研究和试验发展",{"code":502,"name":503},{"code":467,"name":468},[519,503,468],{"id":524,"name":525,"orgName":526,"school":527,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":528,"intro":529,"province":530,"completeness":514,"avatarAuthorized":396,"sourceUrl":531,"nameValid":398,"tags":532,"tagNames":542},"27c23619-c424-47b9-979f-4194fb758483","李锋","合肥工业大学人工智能创新学院","合肥工业大学","计算机视觉；多模态大模型；IEEE TPAMI；IEEE TIP；ICLR；ICCV；CVPR；AAAI；ACM MM等国际权威期刊及顶级 学术 会议上","【产业方向】人工智能，合肥工业大学，计算机视觉；多模态大模型；IEEE TPAMI；IEEE TIP；ICLR；ICCV；CVPR；AAAI；ACM MM等国际权威期刊及顶级 学术 会议上","安徽","http:\u002F\u002Ffaculty.hfut.edu.cn\u002Ffeng_li\u002Fzh_CN\u002Findex.htm",[533,534,535,538,539],{"code":464,"name":465},{"code":502,"name":503},{"code":536,"name":537},"CH-08","集成电路",{"code":467,"name":468},{"code":540,"name":541},"FU-08","生成式人工智能",[465,503,537,468,541],{"id":544,"name":545,"orgName":546,"school":547,"gender":548,"title":417,"degree":10,"honor":10,"position":10,"researchDirection":549,"intro":550,"province":395,"completeness":551,"avatarAuthorized":396,"sourceUrl":552,"nameValid":398,"tags":553,"tagNames":569},"27c9c7ae-60a8-4eaf-bb03-6b29944168db","吴莹","西安交通大学航天航空学院","西安交通大学","女","复杂系统非线性动力学与控制；脑神经性疾病机理动力学建模与调控；脑复杂网络动态特征、时空动力学行为等。主持国家自然基金重点项目、面上项目，以及省部级项目等10余项，在PRL、PNAS等期刊发表SCI学术论文130余篇，发表专著和译著2本，参编专著6本，发表专利和软著10余项。作为第一完成人获省科学技术二等奖、高校科技进步一等奖2项等。","【产业方向】航空航天，西安交通大学，复杂系统非线性动力学与控制；脑神经性疾病机理动力学建模与调控；脑复杂网络动态特征、时空动力学行为等。主持国家自然基金重点项目、面上项目，以及省部级项目等10余项，在PRL、PNAS等期刊发表SCI学术论文130余篇，发表专著和译著2本，参编",64,"https:\u002F\u002Fgr.xjtu.edu.cn\u002Fwying36\u002Fzh_CN\u002Findex.htm",[554,557,560,563,566],{"code":555,"name":556},"GB-37","铁路、船舶、航空航天和其他运输设备制造业",{"code":558,"name":559},"GB-56","航空运输业",{"code":561,"name":562},"GB-67","资本市场服务",{"code":564,"name":565},"CH-09","航空航天",{"code":567,"name":568},"CH-28","交通",[556,559,562,565,568],{"id":571,"name":572,"orgName":573,"school":547,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":574,"intro":575,"province":395,"completeness":551,"avatarAuthorized":396,"sourceUrl":576,"nameValid":398,"tags":577,"tagNames":595},"6bbc35f2-3cb7-4d07-acdf-b1e45113e7a6","王红","西安交通大学生命科学与技术学院","AI for Medical Science，主要从事人工智能、应用数学与医学影像处理交叉研究，聚焦于可解释医学影像智能可靠计算，包括：（ [Google Scholar] [Github] ）；面向欠采样(即不完备)的可靠成像重建： 领域知识驱动的医学影像重建（CT\u002FPET\u002FMRI伪影矫正、快速高质量高分辨成像等）；面向欠采样(即不完备)的可靠成像重建：；领域知识驱动的医学影像重建（CT\u002FPET\u002FMRI伪影矫正、快速高质量高分辨成像等）；面向弱标注(即不完备)的可信诊断分析： 可解释医学影像诊断分析 (肿瘤\u002F器官\u002F血管分割、多模态融合\u002F配准\u002F转换、结构化报告生成、医疗智能体等)；面向弱标注(即不完备)的可信诊断分析：；可解释医学影像诊断分析 (肿瘤\u002F器官\u002F血管分割、多模态融合\u002F配准\u002F转换、结构化报告生成、医疗智能体等)；面向医学应用的机器学习基础理论与方法： 连续参数化表示学习、深度展开理论、贝叶斯推断、持续学习、元学习、多任务学习等；面向医学应用的机器学习基础理论与方法：；连续参数化表示学习、深度展开理论、贝叶斯推断、持续学习、元学习、多任务学习等；近3年多以来，主持并完成4项百万级横向课题，主持科技部重点研发计划子课题、国家自然科学基金青年项目、陕西省高层次青年人才引进项目，重要参与陕西省创新团队项目和教育部学科突破先导计划项目。目前以一作(含共一)\u002F通讯作者身份在国际权威杂志上发表学术论文31篇, 包括临床顶刊Lancet Digital Health、图像处理顶级期刊IEEE TMI\u002FMedical Image Analysis\u002FIEEE TNNLS、及人工智能顶级会议CVPR\u002FICML\u002FIJCAI\u002FACMMM等; 已授权17项国内外发明专利，相关算法已转化至我国多个头部创新企业。曾荣获2022年度腾讯专利金奖 (第一发明人, 集团2\u002F5000+)、 2023年世界互联网大会领先科技奖（成果完成人之一）、2022年度腾讯犀牛鸟全国精英人才培养计划杰出导师奖、2024年IEEE TMI杰出审稿人、CVPR 2023亮点论文、ECCV 2020口头论文等荣誉称号, 担任MICCAI 2026领域主席、MICS委员、 Journal of Imaging特邀编辑、Intelligent Translational Medicine 青年编委。；2027级学硕、博士均有名额。欢迎 踏实正直、自驱力强、数学基础好、编程能力强、沟通能力良好 的同学加入，请提前发邮件联系并附上成绩单和个人简历。团队长期招收科研训练学生、访问学生、联合培养学生及各类青年优秀人才，欢迎合作联系! 对于研究生在读期间表现较为优异的同学，课题组可提供互联网大厂\u002F一线厂商\u002F三甲医院实习内推机会以及海内外知名高校交流合作平台 。 PS: 课题组都是一群认真踏实做事的小伙伴，如果读研只是为了随意拿学位，请不要找我，避免互相耽误。","【产业方向】医疗器械，西安交通大学，AI for Medical Science，主要从事人工智能、应用数学与医学影像处理交叉研究，聚焦于可解释医学影像智能可靠计算，包括：（ [Google Scholar] [Github] ）；面向欠采样(即不完备)的可靠成像重建： 领域","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fhongwang01\u002Fzh_CN\u002Findex.htm",[578,581,582,583,586,589,590,591,592,593,594],{"code":579,"name":580},"GB-64","互联网和相关服务",{"code":561,"name":562},{"code":518,"name":519},{"code":584,"name":585},"GB-83","教育",{"code":587,"name":588},"GB-84","卫生",{"code":502,"name":503},{"code":536,"name":537},{"code":430,"name":431},{"code":567,"name":568},{"code":467,"name":468},{"code":540,"name":541},[580,562,519,585,588,503,537,431,568,468,541],{"id":597,"name":598,"orgName":599,"school":547,"gender":10,"title":417,"degree":10,"honor":10,"position":10,"researchDirection":600,"intro":601,"province":395,"completeness":551,"avatarAuthorized":396,"sourceUrl":602,"nameValid":398,"tags":603,"tagNames":621},"396760e3-be66-484b-af96-e14825785d1c","张沛","西安交通大学物理学院","基于光学体系的量子信息实验研究 1. 光子轨道角动量的基本物理 光子包含自旋角动量(SAM)和轨道角动量(OAM)。SAM对应于激光的偏振，OAM对应激光的横模。 我们开展了对OAM基本物理问题的深入研究，在OAM态产生、操控和测量方面做出一系列工作。 旋转多普勒效应 Light: Science & Applications 6 , e16251 (2017) Laser & Photonics Reviews 2024, 2401050 2. 基于光子轨道角动量的高维量子信息 OAM 纠缠 由于光子OAM可以构成无限维Hilbert空间，因此在高维量子理论和实验研究中具有重要的应用。我们利用计算全息光栅和空间光调制器可以实现对光子OAM的控制，实现高维OAM纠缠态，并进行高维量子计算和量子通信的实验研究。基于OAM高维纠缠态的量子导引论文发表在PRL和Optica上 。 Phys. Rev. Lett. 132, 210202 (2024). Phys. Rev. Lett. 128, 240402 (2022) Optica 9(5), 473-478 (2022) 3. 量子保密通信 量子密钥分配是基于量子力学原理实现保密通信的新技术。它是目前从实验室走向实用的量子信息技术之一。但是受限于精密的设备和高昂的费用，目前只应用于政府、军队、银行等机构。我们实验上解决了发送者和接受者参考系实时校准的难题，并通过巧妙设计，实现了密钥分配其中一方的小型化和集成化。通过实验证明，该方法不但可以抵御信道的慢变噪声，还能在经历剧烈扰动后自动恢复工作。这些结果将极大的拓展量子保密通信的应用范围，为移动终端的量子通信提供了有效的解决方案。 RFI-QKD 实验装置 Phys. Rev. Lett. 112 , 130501 (2014) Quantum Sci. Technol. 8, 035028 (2023)","【产业方向】信息技术，西安交通大学，基于光学体系的量子信息实验研究 1. 光子轨道角动量的基本物理 光子包含自旋角动量(SAM)和轨道角动量(OAM)。SAM对应于激光的偏振，OAM对应激光的横模。 我们开展了对OAM基本物理问题的深入研究，在OAM态产生、操控和测量方面做出","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fzhangpei\u002Fzh_CN\u002Findex.htm",[604,607,608,611,614,617,618],{"code":605,"name":606},"GB-66","货币金融服务",{"code":518,"name":519},{"code":609,"name":610},"GB-92","国家机构",{"code":612,"name":613},"CH-01","量子科技",{"code":615,"name":616},"CH-17","新一代信息技术",{"code":567,"name":568},{"code":619,"name":620},"CH-29","金融",[606,519,610,613,616,568,620],{"id":623,"name":624,"orgName":625,"school":547,"gender":10,"title":457,"degree":10,"honor":10,"position":10,"researchDirection":626,"intro":627,"province":395,"completeness":551,"avatarAuthorized":396,"sourceUrl":628,"nameValid":398,"tags":629,"tagNames":650},"ad9a3607-50e0-4e64-b9bb-6d48987d6809","樊至骐","西安交通大学机械工程学院","陶瓷激光增材制造；硬脆材料精密\u002F超精密加工；AI辅助工业母机加工状态监测；国家微纳制造创新中心 总师；《制造技术与机床》外审专家；澳大利亚昆士兰大学 UQI 国际奖学金 ( 全额奖学金 )；澳大利亚新南威尔士大学 PRSS 国际交流奖学金；MACH502801-Additive Manufacturing Technology","【产业方向】高端装备，西安交通大学，陶瓷激光增材制造；硬脆材料精密\u002F超精密加工；AI辅助工业母机加工状态监测；国家微纳制造创新中心 总师；《制造技术与机床》外审专家；澳大利亚昆士兰大学 UQI 国际奖学金 ( 全额奖学金 )；澳大利亚新南威尔士大学 PRSS 国际交流奖学金；","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fzhiqi.fan\u002Fzh_CN\u002Findex.htm",[630,633,636,639,642,643,646,647],{"code":631,"name":632},"GB-30","非金属矿物制品业",{"code":634,"name":635},"GB-34","通用设备制造业",{"code":637,"name":638},"SEI-02","高端装备制造产业",{"code":640,"name":641},"CH-20","高端装备",{"code":567,"name":568},{"code":644,"name":645},"CH-30","制造",{"code":467,"name":468},{"code":648,"name":649},"FU-01","未来制造",[632,635,638,641,568,645,468,649],{"id":652,"name":653,"orgName":654,"school":547,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":655,"intro":656,"province":395,"completeness":76,"avatarAuthorized":396,"sourceUrl":657,"nameValid":398,"tags":658,"tagNames":665},"33c77217-737d-452b-af27-b60afa1ccf4e","刘瑞","西安交通大学药学院","[1] 国家自然科学基金委员会，青年科学基金项目， 81903572 ，基于 MRGPRX2 的盐酸青藤碱代谢物类过敏成分筛选分析基础研究， 2020-01 至 2022-12；万元，结题，主持；[2] 中国博士后科学基金会，博士后科学基金面上二等， 2019M663755 ，细胞膜色谱用于筛选苍耳子中抗类过敏天然活性成分研究， 2019-01 至 2020-12；万元，结题，主持","【产业方向】生物医药，西安交通大学，[1] 国家自然科学基金委员会，青年科学基金项目， 81903572 ，基于 MRGPRX2 的盐酸青藤碱代谢物类过敏成分筛选分析基础研究， 2020-01 至 2022-12；万元，结题，主持；[2] 中国博士后科学基金会，博士后科学基金","https:\u002F\u002Fgr.xjtu.edu.cn\u002Frliu2018\u002Fzh_CN\u002Findex.htm",[659,660,661,662,663,664],{"code":424,"name":425},{"code":561,"name":562},{"code":518,"name":519},{"code":427,"name":428},{"code":430,"name":431},{"code":567,"name":568},[425,562,519,428,431,568],{"id":667,"name":668,"orgName":669,"school":547,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":670,"intro":671,"province":395,"completeness":76,"avatarAuthorized":396,"sourceUrl":672,"nameValid":398,"tags":673,"tagNames":681},"02ba6c48-f339-485e-a592-1d49e4068ec4","张智超","西安交通大学基础医学院","国家自然科学基金委员会，面上项目， 82271200 ，《表观遗传修饰结构R-loop通过募集PRC2调控小鼠神经干细胞增殖分化的作用及机制研究 》， 2023-01-01 至 2026-12-31；万元，在研，主持；中国博士后科学基金会，特别资助项目，《 H3K4me3 和 H3K27me3 在小鼠海马神经发育中动态调控研究》；万元， 2019\u002F01-2022\u002F08 ， 已结题 ，主持；中国博士后科学基金会，面上项目，《小鼠海马神经元发育过程中全基因组 H3K4me3 调控研究》；万元， 2018\u002F01-2022\u002F08 ，已结题，主持；陕西省科技厅，自然科学基础研究计划， 2018JQ8055 ，《 PTEN 介导 mGluR4 对神经发生的影响及其信号转导机制研究》， 2018-01 至 2019-12；万元， 已结题 ，主持","【产业方向】生物医药，西安交通大学，国家自然科学基金委员会，面上项目， 82271200 ，《表观遗传修饰结构R-loop通过募集PRC2调控小鼠神经干细胞增殖分化的作用及机制研究 》， 2023-01-01 至 2026-12-31；万元，在研，主持；中国博士后科学基金会，","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fzhangzhichao\u002Fzh_CN\u002Findex.htm",[674,675,676,677,678,679,680],{"code":424,"name":425},{"code":561,"name":562},{"code":518,"name":519},{"code":427,"name":428},{"code":430,"name":431},{"code":567,"name":568},{"code":433,"name":434},[425,562,519,428,431,568,434],{"id":683,"name":684,"orgName":685,"school":547,"gender":10,"title":457,"degree":10,"honor":10,"position":10,"researchDirection":686,"intro":687,"province":395,"completeness":76,"avatarAuthorized":396,"sourceUrl":688,"nameValid":398,"tags":689,"tagNames":705},"4fa417d9-3ed1-4f4c-8d83-53b80f18800c","宋超","西安交通大学人居环境与建筑工程学院","科研成果 1. 期刊论文 Song Chao , Zhao Tengyuan*, Xu Ling, Huang Xiaolin. Probabilistic prediction of uniaxial compressive strength for rocks from sparse data using Bayesian Gaussian process regression with Synthetic Minority Oversampling Technique (SMOTE). Computers and Geotechnics , 2024, 165: 105850. DOI: 10.1016\u002Fj.compgeo.2023.105850 Song Chao , Peng Hongzhen, Xu Ling , Zhao Tengyuan *, Guo Zhiqian, Chen Wenwu. Probabilistic evaluation of cultural soil heritage hazards in China from extremely imbalanced site investigation data using SMOTE-Gaussian process classification. Journal of Cultural Heritage , 2024, 67: 121-133. DOI: 10.1016\u002Fj.culher.2024.02.014 Song Chao , Zhao Tengyuan *, Xu Ling . Physics-informed explainable AI and SMOTE-GPC for the classification of surrounding rock mass in tunneling. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering , 2025, 11(2): 04025021. DOI: 10.1061\u002FAJRUA6.RUENG-1519 Song Chao , Zhao Tengyuan *, Xu Ling . Probabilistic classification of surrounding rock mass of tunnels based on fully Bayesian Gaussian process classification (fB-GPC) with consideration of influencing factors selection. Geological Journal , 2024, 59(9): 2442-2458. DOI: 10.1002\u002Fgj.4925 Zhao Tengyuan , Song Chao , Lu Shifeng, Xu Ling *. Prediction of uniaxial compressive strength using fully Bayesian Gaussian process regression (fB-GPR) with model class selection. Rock Mechanics and Rock Engineering , 2022, 55(10): 6301-6319. DOI: 10.1007\u002Fs00603-022-02964-y Zhao Tengyuan , Song Chao , Xu Ling *, Huang Xiaolin . Bayesian selection of the optimal composite kernels for probabilistic estimation of UCS with explicit consideration of measurement errors and the anisotropic characteristic of input features. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards , 2025. DOI : 10.1080\u002F17499518.2025.2491847 Song Chao *, Zhao Tengyuan . Uncertainty quantification in predicting UCS using fully Bayesian Gaussian process regression with consideration of model class selection. In: Geo-risk 2023 , Arlington, Virginia, 23-26 July, 2023, pp 9-19. 宋超 , 赵腾远, 高重阳. 基于机器学习的黄土关键力学参数概率预测统一框架体系. 地球科学 , 2024. 宋超 , 赵腾远*, 许领. 基于贝叶斯高斯过程回归与模型选择的岩石单轴抗压强度估计方法. 岩土工程学报 , 2023, 45(08): 1664-1673. DOI：10.11779\u002FCJGE20220734 赵腾远, 宋超 , 何欢*. 小样本条件下江苏软土路基回弹模量的贝叶斯估计——基于静力触探数据与高斯过程回归的建模分析. 岩土工程学报 , 2021, 43(S2): 137-141. DOI：10.11779\u002FCJGE2021S2033 宋超 , 赵腾远*. 粘土路基回弹模量预测及贝叶斯模型选择研究. 长沙理工大学学报（自然科学版） , 2024, 21(01): 1-12. DOI: 10.19951\u002Fj.cnki.1672-9331.20231201001 赵腾远, 宋超 , 谌文武, 郭志谦, 许领*. 基于k-means聚类与高斯过程分类的土遗址裂隙病害发育等级概率预测. 石窟与土遗址保护研究 , 2023, 2(04): 75-86. 朱文清, 赵腾远*, 宋超 , 王宇, 许领. 基于吉布斯采样与压缩感知的二维非平稳CPT数据快速插值方法. 土木与环境工程学报(中英文) , 2022, 44(05): 98-108. DOI: 10.11835\u002Fj.issn.2096-6717.2021.194 2. 软件著作权 宋超 , 赵腾远, 许领. 隧道围岩智能分级与可视化平台V1.0. 登记号：2024SR0347851 宋超 , 赵腾远. 岩石关键力学指标智能预测平台V1.0. 登记号：2023SR0614930 赵腾远, 宋超 , 许领. 全国土遗址病害等级发育概率与空间分布预测平台V1.0. 登记号：2023SR0364483","【产业方向】新材料，西安交通大学，科研成果 1. 期刊论文 Song Chao , Zhao Tengyuan*, Xu Ling, Huang Xiaolin. Probabilistic prediction of uniaxial compressive streng","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fsongchao\u002Fzh_CN\u002Findex.htm",[690,693,696,697,698,699,700,703,704],{"code":691,"name":692},"GB-48","土木工程建筑业",{"code":694,"name":695},"GB-65","软件和信息技术服务业",{"code":518,"name":519},{"code":502,"name":503},{"code":482,"name":483},{"code":485,"name":486},{"code":701,"name":702},"CH-27","建筑",{"code":567,"name":568},{"code":467,"name":468},[692,695,519,503,483,486,702,568,468],{"id":707,"name":708,"orgName":439,"school":439,"gender":10,"title":457,"degree":10,"honor":10,"position":10,"researchDirection":709,"intro":710,"province":10,"completeness":355,"avatarAuthorized":396,"sourceUrl":711,"nameValid":398,"tags":712,"tagNames":719},"0ac035e1-57ad-4cc1-8465-a53161224eb9","孟若涵","AI安全；数据安全；AI模型安全等，近年来在CVPR；TIFS；TDSC等多个CCF A类会议和期刊上","孟若涵，南京信息工程大学，AI安全；数据安全；AI模型安全等，近年来在CVPR；TIFS；TDSC等多个CCF A类会议和期刊上。","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fmengruohan\u002Fzh_CN\u002Findex.htm",[713,714,716],{"code":467,"name":468},{"code":715,"name":117},"CH-35",{"code":717,"name":718},"CH-39","网络与数据安全",[468,117,718],{"id":721,"name":722,"orgName":723,"school":723,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":724,"intro":725,"province":530,"completeness":355,"avatarAuthorized":396,"sourceUrl":726,"nameValid":398,"tags":727,"tagNames":728},"62e75346-4e5f-45df-8973-ce7f5379c181","汪文栋","中国科学技术大学","Catalytic conversion of methane (combustion, partial oxidation, oxidative coupling)；Catalytic conversion of methane (combustion, partial oxidation, oxidative coupling)；Preferential oxidation (PROX) of CO inH2-rich stream；Preferential oxidation (PROX) of CO inH2-rich stream；Photocatalytic hydrogen production and photocatalytic degradation；Photocatalytic hydrogen production and photocatalytic degradation；Catalytic properties of solid oxide fuel cell (SOFC) anode materials；Catalytic properties of solid oxide fuel cell (SOFC) anode materials；Catalytic reaction in oxygen-permeable ceramic membrane reactor；Catalytic reaction in oxygen-permeable ceramic membrane reactor","汪文栋，中国科学技术大学，Catalytic conversion of methane (combustion, partial oxidation, oxidative coupling)；Catalytic conversion of methane (com。","http:\u002F\u002Ffaculty.ustc.edu.cn\u002Fwangwendong\u002Fzh_CN\u002Findex.htm",[],[],{"id":730,"name":731,"orgName":439,"school":439,"gender":10,"title":457,"degree":10,"honor":10,"position":10,"researchDirection":732,"intro":733,"province":10,"completeness":152,"avatarAuthorized":396,"sourceUrl":734,"nameValid":398,"tags":735,"tagNames":739},"63169df5-907b-4a54-bdac-bfef5abc364a","刘一茳","端侧大模型压缩与加速；软硬件协同优化设计等。近年来，在 CVPR；ICCV；TIP；AAAI 等 CCF-A 类国际顶级期刊和会议上","刘一茳，南京信息工程大学，端侧大模型压缩与加速；软硬件协同优化设计等。近年来，在 CVPR；ICCV；TIP；AAAI 等 CCF-A 类国际顶级期刊和会议上。","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fliuyijiang\u002Fzh_CN\u002Findex.htm",[736,737,738],{"code":536,"name":537},{"code":467,"name":468},{"code":540,"name":541},[537,468,541],{"id":741,"name":742,"orgName":526,"school":527,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":743,"intro":744,"province":530,"completeness":152,"avatarAuthorized":396,"sourceUrl":745,"nameValid":398,"tags":746,"tagNames":754},"c15dd3e9-2ffc-46fd-b62f-e991e97b9998","黄少飞","多模态视觉感知和具身智能 。 在TPAMI；CVPR；ICCV；IJCAI；AAAI；ACM MM等国际顶级期刊和会议上","黄少飞，合肥工业大学，多模态视觉感知和具身智能 。 在TPAMI；CVPR；ICCV；IJCAI；AAAI；ACM MM等国际顶级期刊和会议上。","http:\u002F\u002Ffaculty.hfut.edu.cn\u002Fhuangshaofei\u002Fzh_CN\u002Findex.htm",[747,748,751,752,753],{"code":502,"name":503},{"code":749,"name":750},"CH-05","具身智能",{"code":536,"name":537},{"code":467,"name":468},{"code":540,"name":541},[503,750,537,468,541],{"id":756,"name":757,"orgName":439,"school":439,"gender":10,"title":417,"degree":10,"honor":10,"position":10,"researchDirection":758,"intro":759,"province":10,"completeness":152,"avatarAuthorized":396,"sourceUrl":760,"nameValid":398,"tags":761,"tagNames":769},"fd0e46eb-e9df-4b51-8d51-6a136f041352","蒋纬炜","物联网；人机交互；VR\u002FAR；ACM Transactions on Graphics (ACM ToG期刊, CCF-A；ACM UbiComp (CCF-A；ACM CHI (CCF-A；NeurIPS (CCF-A；CVPR (CCF-A)等国际高水平SCI期刊以及会议","蒋纬炜，南京信息工程大学，物联网；人机交互；VR\u002FAR；ACM Transactions on Graphics (ACM ToG期刊, CCF-A；ACM UbiComp (CCF-A；ACM CHI (CCF-A；NeurIPS (CCF-A；CVPR (CCF。","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fweiweijiang\u002Fzh_CN\u002Findex.htm",[762,763,766],{"code":502,"name":503},{"code":764,"name":765},"CH-37","物联网",{"code":767,"name":768},"FU-07","元宇宙",[503,765,768],{"id":771,"name":772,"orgName":439,"school":439,"gender":10,"title":773,"degree":10,"honor":10,"position":10,"researchDirection":774,"intro":775,"province":10,"completeness":152,"avatarAuthorized":396,"sourceUrl":776,"nameValid":398,"tags":777,"tagNames":779},"85073da3-33a8-425a-bb72-c794e8f0c775","张考","助理研究员","视觉显著性建模；图像与视频处理；遥感视频分析；虚拟现实 。在IEEE TIP\u002FTCSVT\u002FTMM\u002FCVPR","张考，南京信息工程大学，视觉显著性建模；图像与视频处理；遥感视频分析；虚拟现实 。在IEEE TIP\u002FTCSVT\u002FTMM\u002FCVPR。","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fzhangkao\u002Fzh_CN\u002Findex.htm",[778],{"code":767,"name":768},[768],{"id":781,"name":782,"orgName":439,"school":439,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":783,"intro":784,"province":10,"completeness":152,"avatarAuthorized":396,"sourceUrl":785,"nameValid":398,"tags":786,"tagNames":787},"ccc08b81-0c1e-4686-af6a-ddd2189a7675","胡志华","基于全景影像的室内三维建模。在ISPRS；JAG；CVPR；ACM MM；TGRS；Remote Sensing；Geo-spatial Information Science等著名SCI期刊与国际会议上","胡志华，南京信息工程大学，基于全景影像的室内三维建模。在ISPRS；JAG；CVPR；ACM MM；TGRS；Remote Sensing；Geo-spatial Information Science等著名SCI期刊与国际会议上。","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fhuzhihua\u002Fzh_CN\u002Findex.htm",[],[],23,1,{"schools":791},294,[793,999,1067,1710],{"group":794,"code":794,"name":795,"count":207,"tags":796},"CHAIN","产业链环节",[797,802,809,815,821,825,831,837,842,846,851,858,864,868,871,876,880,884,890,895,899,905,912,917,924,931,936,941,945,949,954,960,964,968,975,980,985,988,994],{"code":612,"name":613,"group":794,"gb4754":10,"parent":10,"aliases":798,"expertCount":801},[799,800],"量子","量子计算",179,{"code":803,"name":804,"group":794,"gb4754":10,"parent":10,"aliases":805,"expertCount":808},"CH-02","生物制造",[806,807],"合成生物制造","生物基制造",16,{"code":810,"name":811,"group":794,"gb4754":10,"parent":10,"aliases":812,"expertCount":514},"CH-03","氢能与核聚变能",[813,814],"氢能","核聚变",{"code":816,"name":817,"group":794,"gb4754":10,"parent":10,"aliases":818,"expertCount":33},"CH-04","脑机接口",[819,820],"脑机","脑机交互",{"code":749,"name":750,"group":794,"gb4754":10,"parent":10,"aliases":822,"expertCount":824},[823],"具身智能机器人",48,{"code":826,"name":827,"group":794,"gb4754":10,"parent":10,"aliases":828,"expertCount":830},"CH-06","6G",[829],"第六代通信",25,{"code":832,"name":833,"group":794,"gb4754":10,"parent":10,"aliases":834,"expertCount":836},"CH-07","未来能源",[835],"未来能源技术",13,{"code":536,"name":537,"group":794,"gb4754":10,"parent":10,"aliases":838,"expertCount":841},[839,840],"芯片","半导体",666,{"code":564,"name":565,"group":794,"gb4754":10,"parent":10,"aliases":843,"expertCount":845},[844],"航空航天制造",706,{"code":430,"name":431,"group":794,"gb4754":10,"parent":10,"aliases":847,"expertCount":850},[848,849],"医药","生物药",1016,{"code":852,"name":853,"group":794,"gb4754":10,"parent":10,"aliases":854,"expertCount":857},"CH-11","低空经济",[855,856],"低空","低空飞行",26,{"code":859,"name":860,"group":794,"gb4754":10,"parent":10,"aliases":861,"expertCount":863},"CH-12","新型显示",[862],"显示面板",5,{"code":485,"name":486,"group":794,"gb4754":10,"parent":10,"aliases":865,"expertCount":867},[866],"先进材料",1262,{"code":869,"name":98,"group":794,"gb4754":10,"parent":10,"aliases":870,"expertCount":789},"CH-14",[98],{"code":872,"name":873,"group":794,"gb4754":10,"parent":10,"aliases":874,"expertCount":20},"CH-15","深海科技",[875],"深海",{"code":877,"name":79,"group":794,"gb4754":10,"parent":10,"aliases":878,"expertCount":56},"CH-16",[79,879],"星座",{"code":615,"name":616,"group":794,"gb4754":10,"parent":10,"aliases":881,"expertCount":883},[882],"新一代IT",321,{"code":885,"name":886,"group":794,"gb4754":10,"parent":10,"aliases":887,"expertCount":889},"CH-18","生物技术",[888],"生物科技",201,{"code":891,"name":892,"group":794,"gb4754":10,"parent":10,"aliases":893,"expertCount":894},"CH-19","新能源",[892],581,{"code":640,"name":641,"group":794,"gb4754":10,"parent":10,"aliases":896,"expertCount":898},[897],"高端装备制造",587,{"code":900,"name":901,"group":794,"gb4754":10,"parent":10,"aliases":902,"expertCount":70},"CH-21","新能源汽车",[903,904],"电动车","EV",{"code":906,"name":907,"group":794,"gb4754":10,"parent":10,"aliases":908,"expertCount":911},"CH-22","绿色环保",[909,910],"环保","绿色低碳",1145,{"code":913,"name":914,"group":794,"gb4754":10,"parent":10,"aliases":915,"expertCount":146},"CH-23","海洋装备",[916],"海洋工程装备",{"code":918,"name":919,"group":794,"gb4754":10,"parent":10,"aliases":920,"expertCount":923},"CH-24","现代农业",[921,922],"智慧农业","农业",2432,{"code":925,"name":926,"group":794,"gb4754":10,"parent":10,"aliases":927,"expertCount":930},"CH-25","采矿",[928,929],"矿业","矿山",378,{"code":932,"name":933,"group":794,"gb4754":10,"parent":10,"aliases":934,"expertCount":202},"CH-26","电力",[935],"电力行业",{"code":701,"name":702,"group":794,"gb4754":10,"parent":10,"aliases":937,"expertCount":940},[938,939],"建筑业","建造",975,{"code":567,"name":568,"group":794,"gb4754":10,"parent":10,"aliases":942,"expertCount":944},[943],"交通运输",3617,{"code":619,"name":620,"group":794,"gb4754":10,"parent":10,"aliases":946,"expertCount":948},[947],"金融业",77,{"code":644,"name":645,"group":794,"gb4754":10,"parent":10,"aliases":950,"expertCount":953},[951,952],"制造业","先进制造",668,{"code":955,"name":956,"group":794,"gb4754":10,"parent":10,"aliases":957,"expertCount":959},"CH-31","石油化工",[958],"石化",253,{"code":961,"name":962,"group":794,"gb4754":10,"parent":10,"aliases":963,"expertCount":33},"CH-32","消费电子",[962],{"code":467,"name":468,"group":794,"gb4754":10,"parent":10,"aliases":965,"expertCount":967},[966],"AI",1668,{"code":969,"name":970,"group":794,"gb4754":10,"parent":10,"aliases":971,"expertCount":974},"CH-34","云计算\u002F算力",[972,973],"云计算","算力",56,{"code":715,"name":117,"group":794,"gb4754":10,"parent":10,"aliases":976,"expertCount":979},[977,978],"大数据","数据要素",271,{"code":981,"name":982,"group":794,"gb4754":10,"parent":10,"aliases":983,"expertCount":984},"CH-36","工业互联网",[982],14,{"code":764,"name":765,"group":794,"gb4754":10,"parent":10,"aliases":986,"expertCount":234},[987],"IoT",{"code":989,"name":990,"group":794,"gb4754":10,"parent":10,"aliases":991,"expertCount":993},"CH-38","区块链",[992],"Blockchain",19,{"code":717,"name":718,"group":794,"gb4754":10,"parent":10,"aliases":995,"expertCount":998},[996,997],"网络安全","安全",480,{"group":46,"code":46,"name":45,"count":984,"tags":1000},[1001,1004,1010,1013,1016,1021,1027,1031,1037,1042,1046,1052,1057,1062],{"code":648,"name":649,"group":46,"gb4754":10,"parent":10,"aliases":1002,"expertCount":788},[1003],"未来制造技术",{"code":1005,"name":1006,"group":46,"gb4754":10,"parent":10,"aliases":1007,"expertCount":1009},"FU-02","未来信息",[1008],"未来信息技术",29,{"code":488,"name":489,"group":46,"gb4754":10,"parent":10,"aliases":1011,"expertCount":1012},[489],184,{"code":1014,"name":833,"group":46,"gb4754":10,"parent":10,"aliases":1015,"expertCount":788},"FU-04",[835],{"code":1017,"name":1018,"group":46,"gb4754":10,"parent":10,"aliases":1019,"expertCount":863},"FU-05","未来空间",[1020],"未来空间技术",{"code":1022,"name":1023,"group":46,"gb4754":10,"parent":10,"aliases":1024,"expertCount":1026},"FU-06","未来健康",[1025],"未来健康技术",0,{"code":767,"name":768,"group":46,"gb4754":10,"parent":10,"aliases":1028,"expertCount":1030},[1029],"Metaverse",68,{"code":540,"name":541,"group":46,"gb4754":10,"parent":10,"aliases":1032,"expertCount":1036},[1033,1034,1035],"AIGC","生成式AI","通用人工智能",151,{"code":1038,"name":1039,"group":46,"gb4754":10,"parent":10,"aliases":1040,"expertCount":32},"FU-09","合成生物学",[1041],"合成生物",{"code":433,"name":434,"group":46,"gb4754":10,"parent":10,"aliases":1043,"expertCount":993},[1044,1045],"细胞治疗","基因治疗",{"code":1047,"name":1048,"group":46,"gb4754":10,"parent":10,"aliases":1049,"expertCount":1051},"FU-11","新型储能",[1050],"储能",106,{"code":1053,"name":1054,"group":46,"gb4754":10,"parent":10,"aliases":1055,"expertCount":83},"FU-12","钙钛矿光伏",[1056],"钙钛矿",{"code":1058,"name":1059,"group":46,"gb4754":10,"parent":10,"aliases":1060,"expertCount":163},"FU-13","第三代半导体",[1059,1061],"宽禁带半导体",{"code":1063,"name":1064,"group":46,"gb4754":10,"parent":10,"aliases":1065,"expertCount":83},"FU-14","类脑智能",[1066],"类脑计算",{"group":1068,"code":1068,"name":1069,"count":1070,"tags":1071},"GB4754","国民经济行业分类",97,[1072,1080,1088,1095,1102,1108,1116,1123,1130,1136,1142,1148,1154,1162,1168,1175,1181,1188,1195,1201,1207,1213,1219,1225,1232,1240,1248,1253,1259,1265,1270,1277,1285,1291,1295,1301,1308,1313,1321,1328,1334,1340,1347,1354,1362,1369,1376,1384,1390,1396,1403,1411,1417,1425,1432,1439,1445,1451,1459,1466,1473,1481,1487,1495,1499,1505,1511,1517,1523,1529,1536,1543,1551,1558,1563,1570,1578,1585,1592,1598,1605,1611,1617,1623,1629,1635,1642,1648,1655,1660,1666,1673,1679,1685,1691,1698,1704],{"code":1073,"name":922,"group":1068,"gb4754":1074,"parent":1075,"aliases":1076,"expertCount":1079},"GB-01","01","A",[1077,1078],"农林种植","种植业",2435,{"code":1081,"name":1082,"group":1068,"gb4754":1083,"parent":1075,"aliases":1084,"expertCount":1087},"GB-02","林业","02",[1085,1086],"营林","造林",131,{"code":1089,"name":1090,"group":1068,"gb4754":1091,"parent":1075,"aliases":1092,"expertCount":13},"GB-03","畜牧业","03",[1093,1094],"养殖","畜禽养殖",{"code":1096,"name":1097,"group":1068,"gb4754":1098,"parent":1075,"aliases":1099,"expertCount":83},"GB-04","渔业","04",[1100,1101],"水产","水产养殖",{"code":1103,"name":1104,"group":1068,"gb4754":1105,"parent":1075,"aliases":1106,"expertCount":1026},"GB-05","农、林、牧、渔专业及辅助性活动","05",[1107],"农林牧渔服务",{"code":1109,"name":1110,"group":1068,"gb4754":1111,"parent":1112,"aliases":1113,"expertCount":259},"GB-06","煤炭开采和洗选业","06","B",[1114,1115],"煤炭","煤矿",{"code":1117,"name":1118,"group":1068,"gb4754":1119,"parent":1112,"aliases":1120,"expertCount":240},"GB-07","石油和天然气开采业","07",[1121,1122],"油气开采","油气",{"code":1124,"name":1125,"group":1068,"gb4754":1126,"parent":1112,"aliases":1127,"expertCount":1129},"GB-08","黑色金属矿采选业","08",[1128],"铁矿采选",3,{"code":1131,"name":1132,"group":1068,"gb4754":1133,"parent":1112,"aliases":1134,"expertCount":259},"GB-09","有色金属矿采选业","09",[1135],"有色矿采选",{"code":1137,"name":1138,"group":1068,"gb4754":1139,"parent":1112,"aliases":1140,"expertCount":1129},"GB-10","非金属矿采选业","10",[1141],"非金属矿",{"code":1143,"name":1144,"group":1068,"gb4754":1145,"parent":1112,"aliases":1146,"expertCount":1026},"GB-11","开采专业及辅助性活动","11",[1147],"矿山服务",{"code":1149,"name":1150,"group":1068,"gb4754":1151,"parent":1112,"aliases":1152,"expertCount":1026},"GB-12","其他采矿业","12",[1153],"其他采矿",{"code":1155,"name":1156,"group":1068,"gb4754":1157,"parent":1158,"aliases":1159,"expertCount":1161},"GB-13","农副食品加工业","13","C",[1160],"农副食品",4,{"code":1163,"name":1164,"group":1068,"gb4754":1165,"parent":1158,"aliases":1166,"expertCount":202},"GB-14","食品制造业","14",[1167],"食品制造",{"code":1169,"name":1170,"group":1068,"gb4754":1171,"parent":1158,"aliases":1172,"expertCount":789},"GB-15","酒、饮料和精制茶制造业","15",[1173,1174],"酒类饮料","茶饮",{"code":1176,"name":1177,"group":1068,"gb4754":1178,"parent":1158,"aliases":1179,"expertCount":789},"GB-16","烟草制品业","16",[1180],"烟草",{"code":1182,"name":1183,"group":1068,"gb4754":1184,"parent":1158,"aliases":1185,"expertCount":1026},"GB-17","纺织业","17",[1186,1187],"纺织","棉纺",{"code":1189,"name":1190,"group":1068,"gb4754":1191,"parent":1158,"aliases":1192,"expertCount":1026},"GB-18","纺织服装、服饰业","18",[1193,1194],"服装","服饰",{"code":1196,"name":1197,"group":1068,"gb4754":1198,"parent":1158,"aliases":1199,"expertCount":1026},"GB-19","皮革、毛皮、羽毛及其制品和制鞋业","19",[1200],"皮革制鞋",{"code":1202,"name":1203,"group":1068,"gb4754":1204,"parent":1158,"aliases":1205,"expertCount":1129},"GB-20","木材加工和木、竹、藤、棕、草制品业","20",[1206],"木材加工",{"code":1208,"name":1209,"group":1068,"gb4754":1210,"parent":1158,"aliases":1211,"expertCount":1026},"GB-21","家具制造业","21",[1212],"家具",{"code":1214,"name":1215,"group":1068,"gb4754":1216,"parent":1158,"aliases":1217,"expertCount":1026},"GB-22","造纸和纸制品业","22",[1218],"造纸",{"code":1220,"name":1221,"group":1068,"gb4754":1222,"parent":1158,"aliases":1223,"expertCount":63},"GB-23","印刷和记录媒介复制业","23",[1224],"印刷复制",{"code":1226,"name":1227,"group":1068,"gb4754":1228,"parent":1158,"aliases":1229,"expertCount":1026},"GB-24","文教、工美、体育和娱乐用品制造业","24",[1230,1231],"文体用品","工美",{"code":1233,"name":1234,"group":1068,"gb4754":1235,"parent":1158,"aliases":1236,"expertCount":1129},"GB-25","石油、煤炭及其他燃料加工业","25",[1237,1238,1239],"石油加工","炼油","煤化工",{"code":1241,"name":1242,"group":1068,"gb4754":1243,"parent":1158,"aliases":1244,"expertCount":1247},"GB-26","化学原料和化学制品制造业","26",[1245,1246],"化工","化学原料",283,{"code":424,"name":425,"group":1068,"gb4754":1249,"parent":1158,"aliases":1250,"expertCount":1252},"27",[848,1251],"制药",988,{"code":1254,"name":1255,"group":1068,"gb4754":1256,"parent":1158,"aliases":1257,"expertCount":1129},"GB-28","化学纤维制造业","28",[1258],"化纤",{"code":1260,"name":1261,"group":1068,"gb4754":1262,"parent":1158,"aliases":1263,"expertCount":294},"GB-29","橡胶和塑料制品业","29",[1264],"橡胶塑料",{"code":631,"name":632,"group":1068,"gb4754":1266,"parent":1158,"aliases":1267,"expertCount":265},"30",[1268,1269],"建材","非金属矿物",{"code":1271,"name":1272,"group":1068,"gb4754":1273,"parent":1158,"aliases":1274,"expertCount":13},"GB-31","黑色金属冶炼和压延加工业","31",[1275,1276],"钢铁","黑色冶金",{"code":1278,"name":1279,"group":1068,"gb4754":1280,"parent":1158,"aliases":1281,"expertCount":1284},"GB-32","有色金属冶炼和压延加工业","32",[1282,1283],"有色冶金","有色金属",42,{"code":1286,"name":1287,"group":1068,"gb4754":1288,"parent":1158,"aliases":1289,"expertCount":56},"GB-33","金属制品业","33",[1290],"金属制品",{"code":634,"name":635,"group":1068,"gb4754":1292,"parent":1158,"aliases":1293,"expertCount":157},"34",[1294],"通用设备",{"code":1296,"name":1297,"group":1068,"gb4754":1298,"parent":1158,"aliases":1299,"expertCount":789},"GB-35","专用设备制造业","35",[1300],"专用设备",{"code":1302,"name":1303,"group":1068,"gb4754":1304,"parent":1158,"aliases":1305,"expertCount":328},"GB-36","汽车制造业","36",[1306,1307],"汽车","整车",{"code":555,"name":556,"group":1068,"gb4754":1309,"parent":1158,"aliases":1310,"expertCount":1312},"37",[1311],"轨道船舶航空航天",707,{"code":1314,"name":1315,"group":1068,"gb4754":1316,"parent":1158,"aliases":1317,"expertCount":1320},"GB-38","电气机械和器材制造业","38",[1318,1319],"电气机械","电工电器",867,{"code":464,"name":465,"group":1068,"gb4754":1322,"parent":1158,"aliases":1323,"expertCount":1327},"39",[1324,1325,1326],"电子设备","电子制造","通信设备",1192,{"code":447,"name":448,"group":1068,"gb4754":1329,"parent":1158,"aliases":1330,"expertCount":1333},"40",[1331,1332],"仪器仪表","仪表",130,{"code":1335,"name":1336,"group":1068,"gb4754":1337,"parent":1158,"aliases":1338,"expertCount":1026},"GB-41","其他制造业","41",[1339],"其他制造",{"code":1341,"name":1342,"group":1068,"gb4754":1343,"parent":1158,"aliases":1344,"expertCount":808},"GB-42","废弃资源综合利用业","42",[1345,1346],"资源综合利用","再生资源",{"code":1348,"name":1349,"group":1068,"gb4754":1350,"parent":1158,"aliases":1351,"expertCount":1026},"GB-43","金属制品、机械和设备修理业","43",[1352,1353],"设备修理","机电维修",{"code":1355,"name":1356,"group":1068,"gb4754":1357,"parent":1358,"aliases":1359,"expertCount":1361},"GB-44","电力、热力生产和供应业","44","D",[933,1360],"热电",164,{"code":1363,"name":1364,"group":1068,"gb4754":1365,"parent":1358,"aliases":1366,"expertCount":984},"GB-45","燃气生产和供应业","45",[1367,1368],"燃气","城市燃气",{"code":1370,"name":1371,"group":1068,"gb4754":1372,"parent":1358,"aliases":1373,"expertCount":32},"GB-46","水的生产和供应业","46",[1374,1375],"供水","水务",{"code":1377,"name":1378,"group":1068,"gb4754":1379,"parent":1380,"aliases":1381,"expertCount":1026},"GB-47","房屋建筑业","47","E",[1382,1383],"房屋建筑","房建",{"code":691,"name":692,"group":1068,"gb4754":1385,"parent":1380,"aliases":1386,"expertCount":1389},"48",[1387,1388],"土木建筑","基建",284,{"code":1391,"name":1392,"group":1068,"gb4754":1393,"parent":1380,"aliases":1394,"expertCount":1026},"GB-49","建筑安装业","49",[1395],"建筑安装",{"code":1397,"name":1398,"group":1068,"gb4754":1399,"parent":1380,"aliases":1400,"expertCount":1026},"GB-50","建筑装饰、装修和其他建筑业","50",[1401,1402],"建筑装饰","装修",{"code":1404,"name":1405,"group":1068,"gb4754":1406,"parent":1407,"aliases":1408,"expertCount":789},"GB-51","批发业","51","F",[1409,1410],"批发","商贸批发",{"code":1412,"name":1413,"group":1068,"gb4754":1414,"parent":1407,"aliases":1415,"expertCount":1161},"GB-52","零售业","52",[1416],"零售",{"code":1418,"name":1419,"group":1068,"gb4754":1420,"parent":1421,"aliases":1422,"expertCount":1009},"GB-53","铁路运输业","53","G",[1423,1424],"铁路运输","铁路",{"code":1426,"name":1427,"group":1068,"gb4754":1428,"parent":1421,"aliases":1429,"expertCount":836},"GB-54","道路运输业","54",[1430,1431],"道路运输","公路运输",{"code":1433,"name":1434,"group":1068,"gb4754":1435,"parent":1421,"aliases":1436,"expertCount":32},"GB-55","水上运输业","55",[1437,1438],"水运","航运",{"code":558,"name":559,"group":1068,"gb4754":1440,"parent":1421,"aliases":1441,"expertCount":1444},"56",[1442,1443],"航空运输","民航",642,{"code":1446,"name":1447,"group":1068,"gb4754":1448,"parent":1421,"aliases":1449,"expertCount":993},"GB-57","管道运输业","57",[1450],"管道运输",{"code":1452,"name":1453,"group":1068,"gb4754":1454,"parent":1421,"aliases":1455,"expertCount":1458},"GB-58","装卸搬运和仓储业","58",[1456,1457],"仓储","物流仓储",2,{"code":1460,"name":1461,"group":1068,"gb4754":1462,"parent":1421,"aliases":1463,"expertCount":32},"GB-59","邮政业","59",[1464,1465],"邮政","快递",{"code":1467,"name":1468,"group":1068,"gb4754":1469,"parent":1421,"aliases":1470,"expertCount":789},"GB-60","多式联运和运输代理业","60",[1471,1472],"多式联运","货运代理",{"code":1474,"name":1475,"group":1068,"gb4754":1476,"parent":1477,"aliases":1478,"expertCount":1026},"GB-61","住宿业","61","H",[1479,1480],"住宿","酒店",{"code":1482,"name":1483,"group":1068,"gb4754":1484,"parent":1477,"aliases":1485,"expertCount":1026},"GB-62","餐饮业","62",[1486],"餐饮",{"code":1488,"name":1489,"group":1068,"gb4754":1490,"parent":1491,"aliases":1492,"expertCount":984},"GB-63","电信、广播电视和卫星传输服务","63","I",[1493,1494],"电信","通信运营",{"code":579,"name":580,"group":1068,"gb4754":1496,"parent":1491,"aliases":1497,"expertCount":316},"64",[1498],"互联网服务",{"code":694,"name":695,"group":1068,"gb4754":1500,"parent":1491,"aliases":1501,"expertCount":1504},"65",[1502,1503],"软件","IT服务",451,{"code":605,"name":606,"group":1068,"gb4754":1506,"parent":1507,"aliases":1508,"expertCount":49},"66","J",[1509,1510],"银行","货币金融",{"code":561,"name":562,"group":1068,"gb4754":1512,"parent":1507,"aliases":1513,"expertCount":1516},"67",[1514,1515],"资本市场","证券基金",238,{"code":1518,"name":1519,"group":1068,"gb4754":1520,"parent":1507,"aliases":1521,"expertCount":32},"GB-68","保险业","68",[1522],"保险",{"code":1524,"name":1525,"group":1068,"gb4754":1526,"parent":1507,"aliases":1527,"expertCount":789},"GB-69","其他金融业","69",[1528],"其他金融",{"code":1530,"name":1531,"group":1068,"gb4754":1532,"parent":1533,"aliases":1534,"expertCount":1129},"GB-70","房地产业","70","K",[1535],"房地产",{"code":1537,"name":1538,"group":1068,"gb4754":1539,"parent":1540,"aliases":1541,"expertCount":789},"GB-71","租赁业","71","L",[1542],"租赁",{"code":1544,"name":1545,"group":1068,"gb4754":1546,"parent":1540,"aliases":1547,"expertCount":1550},"GB-72","商务服务业","72",[1548,1549],"商务服务","专业服务",66,{"code":518,"name":519,"group":1068,"gb4754":1552,"parent":1553,"aliases":1554,"expertCount":1557},"73","M",[1555,1556],"研发","研究试验",2855,{"code":479,"name":480,"group":1068,"gb4754":1559,"parent":1553,"aliases":1560,"expertCount":1562},"74",[1561],"专业技术服务",358,{"code":1564,"name":1565,"group":1068,"gb4754":1566,"parent":1553,"aliases":1567,"expertCount":1026},"GB-75","科技推广和应用服务业","75",[1568,1569],"科技服务","技术推广",{"code":1571,"name":1572,"group":1068,"gb4754":1573,"parent":1574,"aliases":1575,"expertCount":1577},"GB-76","水利管理业","76","N",[1576],"水利",127,{"code":1579,"name":1580,"group":1068,"gb4754":1581,"parent":1574,"aliases":1582,"expertCount":1584},"GB-77","生态保护和环境治理业","77",[1583,909],"环境治理",1070,{"code":1586,"name":1587,"group":1068,"gb4754":1588,"parent":1574,"aliases":1589,"expertCount":1591},"GB-78","公共设施管理业","78",[1590],"市政公用设施",17,{"code":1593,"name":1594,"group":1068,"gb4754":1595,"parent":1574,"aliases":1596,"expertCount":1026},"GB-79","土地管理业","79",[1597],"土地管理",{"code":1599,"name":1600,"group":1068,"gb4754":1601,"parent":1602,"aliases":1603,"expertCount":1026},"GB-80","居民服务业","80","O",[1604],"居民服务",{"code":1606,"name":1607,"group":1068,"gb4754":1608,"parent":1602,"aliases":1609,"expertCount":1026},"GB-81","机动车、电子产品和日用产品修理业","81",[1610],"修理维护",{"code":1612,"name":1613,"group":1068,"gb4754":1614,"parent":1602,"aliases":1615,"expertCount":1026},"GB-82","其他服务业","82",[1616],"其他服务",{"code":584,"name":585,"group":1068,"gb4754":1618,"parent":1619,"aliases":1620,"expertCount":1622},"83","P",[585,1621],"教育培训",339,{"code":587,"name":588,"group":1068,"gb4754":1624,"parent":1625,"aliases":1626,"expertCount":1628},"84","Q",[588,1627],"医疗",456,{"code":1630,"name":1631,"group":1068,"gb4754":1632,"parent":1625,"aliases":1633,"expertCount":808},"GB-85","社会工作","85",[1631,1634],"社工",{"code":1636,"name":1637,"group":1068,"gb4754":1638,"parent":1639,"aliases":1640,"expertCount":192},"GB-86","新闻和出版业","86","R",[1641],"新闻出版",{"code":1643,"name":1644,"group":1068,"gb4754":1645,"parent":1639,"aliases":1646,"expertCount":294},"GB-87","广播、电视、电影和录音制作业","87",[1647],"广电影视",{"code":1649,"name":1650,"group":1068,"gb4754":1651,"parent":1639,"aliases":1652,"expertCount":1654},"GB-88","文化艺术业","88",[1653],"文化艺术",45,{"code":1656,"name":1657,"group":1068,"gb4754":1658,"parent":1639,"aliases":1659,"expertCount":21},"GB-89","体育","89",[1657],{"code":1661,"name":1662,"group":1068,"gb4754":1663,"parent":1639,"aliases":1664,"expertCount":1129},"GB-90","娱乐业","90",[1665],"娱乐",{"code":1667,"name":1668,"group":1068,"gb4754":1669,"parent":1670,"aliases":1671,"expertCount":1026},"GB-91","中国共产党机关","91","S",[1672],"党政机关",{"code":609,"name":610,"group":1068,"gb4754":1674,"parent":1670,"aliases":1675,"expertCount":1678},"92",[1676,1677],"政府机构","国家机关",22,{"code":1680,"name":1681,"group":1068,"gb4754":1682,"parent":1670,"aliases":1683,"expertCount":1458},"GB-93","人民政协、民主党派","93",[1684],"政协民主党派",{"code":1686,"name":1687,"group":1068,"gb4754":1688,"parent":1670,"aliases":1689,"expertCount":49},"GB-94","社会保障","94",[1690,1687],"社保",{"code":1692,"name":1693,"group":1068,"gb4754":1694,"parent":1670,"aliases":1695,"expertCount":282},"GB-95","群众团体、社会团体和其他成员组织","95",[1696,1697],"社会团体","社会组织",{"code":1699,"name":1700,"group":1068,"gb4754":1701,"parent":1670,"aliases":1702,"expertCount":1026},"GB-96","基层群众自治组织及其他组织","96",[1703],"基层自治组织",{"code":1705,"name":1706,"group":1068,"gb4754":1707,"parent":1708,"aliases":1709,"expertCount":1026},"GB-97","国际组织","97","T",[1706],{"group":1711,"code":1711,"name":7,"count":63,"tags":1712},"SEI",[1713,1716,1719,1722,1726,1730,1735,1742,1747],{"code":502,"name":503,"group":1711,"gb4754":10,"parent":10,"aliases":1714,"expertCount":1715},[616,882],2228,{"code":637,"name":638,"group":1711,"gb4754":10,"parent":10,"aliases":1717,"expertCount":1718},[641],691,{"code":482,"name":483,"group":1711,"gb4754":10,"parent":10,"aliases":1720,"expertCount":1721},[486],1246,{"code":427,"name":428,"group":1711,"gb4754":10,"parent":10,"aliases":1723,"expertCount":1725},[428,1724],"生物医药生物",1085,{"code":1727,"name":1728,"group":1711,"gb4754":10,"parent":10,"aliases":1729,"expertCount":84},"SEI-05","新能源汽车产业",[901,903],{"code":1731,"name":1732,"group":1711,"gb4754":10,"parent":10,"aliases":1733,"expertCount":1734},"SEI-06","新能源产业",[892],633,{"code":1736,"name":1737,"group":1711,"gb4754":10,"parent":10,"aliases":1738,"expertCount":1741},"SEI-07","节能环保产业",[1739,1740],"节能环保","环保产业",166,{"code":1743,"name":1744,"group":1711,"gb4754":10,"parent":10,"aliases":1745,"expertCount":1161},"SEI-08","数字创意产业",[1746],"数字创意",{"code":1748,"name":1749,"group":1711,"gb4754":10,"parent":10,"aliases":1750,"expertCount":56},"SEI-09","相关服务业",[1751],"战略性新兴服务业"]