团队新闻 | 姚尧教授入选斯坦福2026全球前2%科学家终身影响力榜单

中文版

姚尧教授首次入选全球前2%科学家终身影响力榜单，并连续五年入选年度影响力榜单

10月7日，美国斯坦福大学John P. A. Ioannidis教授团队在爱思唯尔（Elsevier）数据平台发布2026年全球前2%科学家榜单（第九版）。UrbanComp Lab负责人、中国地质大学（武汉）地理与信息工程学院姚尧教授首次入选职业生涯影响力榜单，并连续第五年入选年度影响力榜单。
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榜单背景

该榜单基于Scopus数据库，用综合指标c-score衡量科学家的引用影响力。c-score综合了总被引次数、h指数、合作者调整的hm指数，以及独立作者、第一作者和末位作者论文的被引情况。科学家按学科领域和子领域归类，c-score位列全库前10万名，或在所属子领域中位列前2%，即可入选。

榜单分为两类。职业生涯影响力榜单衡量整个学术生涯的累计引用影响力；年度影响力榜单只统计单一年度内的引用，本次为2025年。今年全球共有243,949位学者入选职业生涯榜，249,310位入选年度榜。在遥感与地理信息科学所属的Geological & Geomatics Engineering子领域，全球分别有1,724人和1,733人入选两类榜单。

入选情况

在职业生涯影响力榜单中，姚尧教授全球综合排名第289,911位，在Geological & Geomatics Engineering子领域排名第1,576位，第二子领域为Urban & Regional Planning。这是他首次入选终身榜。

在年度影响力榜单中，姚尧教授本年度全球排名第27,633位，在该子领域82,760名研究者中排名第309位，约为前0.4%。自2022年起，他连续五年入选年度榜，全球排名由第135,747位升至第27,633位，子领域排名由第1,112位升至第309位。同期自引率由约19%降至5.5%，引用主要来自团队以外的同行。

研究工作

姚尧教授长期从事地理人工智能（GeoAI）与城市计算研究，关注人类移动行为建模、城市土地利用智能识别、地理表示学习、乡村环境感知和地理时空大模型等方向。团队近期成果发表于KDD、International Journal of Geographical Information Science、Annals of the American Association of Geographers、Cities等期刊和会议。

姚尧教授曾经任日本一桥大学高等研究院（HIAS）特任教授，并与东京大学空间信息科学研究中心（CSIS）及LocationMind公司开展合作。他曾于2023年、2024年和2025年入选科睿唯安全球高被引科学家，现任Computers, Environment and Urban Systems期刊编委。

姚尧教授表示，这一结果主要归功于团队学生和合作者多年的共同努力。引用数据是了解研究影响力的一个参考，团队将继续围绕城乡人类移动与地理智能开展扎实研究。

关于UrbanComp Lab

UrbanComp Lab由姚尧教授创建和领导，依托中国地质大学（武汉）地理与信息工程学院，围绕城市与乡村的人类移动、土地利用和地理智能开展研究，综合利用全球精细的多源时空轨迹、遥感和地理信息数据。

English Version

Prof. Yao Yao Named to the Career-Long List of the World's Top 2% Scientists for the First Time, and to the Single-Year List for the Fifth Consecutive Year

On October 7, the team of Prof. John P. A. Ioannidis at Stanford University released the 2026 edition (Version 9) of the World's Top 2% Scientists list on the Elsevier Data Repository. Prof. Yao Yao, head of UrbanComp Lab at the School of Geography and Information Engineering, China University of Geosciences (Wuhan), is included in the career-long citation impact list for the first time. He also appears in the single-year citation impact list for the fifth year in a row.
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About the List

The list is built from Scopus data and ranks researchers by a composite citation indicator, the c-score. The c-score combines total citations, the h-index, the co-authorship-adjusted hm-index, and citations to papers as single, first and last author. Researchers are classified into fields and subfields. A researcher is included if the c-score ranks in the top 100,000 across all fields, or in the top 2% of the researcher's subfield.

The list has two parts. The career-long list measures cumulative citation impact over a whole career. The single-year list counts only citations received in one calendar year, which is 2025 for this edition. This year, 243,949 researchers worldwide were included in the career-long list and 249,310 in the single-year list. In Geological & Geomatics Engineering, the subfield that covers remote sensing and geographic information science, 1,724 and 1,733 researchers were included in the two lists respectively.

Rankings

In the career-long list, Prof. Yao ranks 289,911th worldwide and 1,576th in Geological & Geomatics Engineering, with Urban & Regional Planning as his second subfield. This is his first appearance on the career-long list.

In the single-year list, he ranks 27,633rd worldwide and 309th among 82,760 researchers in his subfield, about the top 0.4%. He has been included every year since 2022. Over these five editions, his global rank rose from 135,747th to 27,633rd, and his subfield rank from 1,112th to 309th. His self-citation rate fell from about 19% to 5.5% over the same period, so most citations now come from outside the group.

Research

Prof. Yao works on geospatial artificial intelligence (GeoAI) and urban computing. His research covers human mobility modeling, intelligent land use identification, geographic representation learning, large-scale perception of rural environments, and spatiotemporal foundation models. Recent work from the group has appeared in KDD, the International Journal of Geographical Information Science, the Annals of the American Association of Geographers, and Cities.

Prof. Yao also used to be a Specially Appointed Professor at the Hitotsubashi Institute for Advanced Study (HIAS), and collaborates with the Center for Spatial Information Science (CSIS) at the University of Tokyo and LocationMind Inc. He was named a Clarivate Highly Cited Researcher in 2023, 2024 and 2025, and serves on the editorial board of Computers, Environment and Urban Systems.

Prof. Yao credited the result to the sustained work of his students and collaborators. He noted that citation metrics are one reference point for research impact, and that the group will continue its work on urban and rural human mobility and geographic intelligence.

About UrbanComp Lab

UrbanComp Lab was founded and is led by Prof. Yao Yao at the School of Geography and Information Engineering, China University of Geosciences (Wuhan). The lab studies human mobility, land use and geographic intelligence in cities and rural areas, using multi-source trajectory, remote sensing and GIS data from Global.