Beijing Normal University

1.7M citations
75.3k papers ·

Impact in

Papers in

    • Land Use and Ecosystem Services 2.8k
    • Climate variability and models 2.5k
    • Plant Water Relations and Carbon Dynamics 1.9k
    • Remote Sensing and Land Use 1.8k
    • Atmospheric chemistry and aerosols 1.4k

Beijing Normal University

66.7k papers receiving 1.7M citations

Peers

Beijing Normal University
Comparison fields: 5 of 250
  • Global and Planetary Change 299.3k
  • Environmental Engineering 161.9k
  • Water Science and Technology 144.4k
  • Atmospheric Science 167.5k
  • Health, Toxicology and Mutagenesis 110.4k
Replace East China Normal University with:
East China Normal University China
Nanjing Normal University China
Lanzhou University China
Henan University China
Sejong University South Korea
Northwest University China
Renmin University of China China
Capital Normal University China
Northeast Normal University China
Southwest University China
Beijing Normal University relative to East China Normal University China East China Normal University's profile →
Citations per field
00.5×4.0×
East China Normal University · 1×
Citations per year

Countries citing scholars working at Beijing Normal University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Beijing Normal University. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Beijing Normal University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beijing Normal University more than expected).

Fields of papers published by authors at Beijing Normal University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Beijing Normal University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Beijing Normal University at the time of their publication.

About Beijing Normal University

In recent decades, authors affiliated with Beijing Normal University have published 75.3k papers, which have received a total of 1.7M indexed citations . Scholars at this organization have produced 10.2k papers in Global and Planetary Change, 7.1k papers in Atmospheric Science, 5.6k papers in Environmental Engineering, 5.3k papers in Water Science and Technology and 6.4k papers in Ecology on the topics of Land Use and Ecosystem Services (2.8k papers), Climate variability and models (2.5k papers), Remote Sensing in Agriculture (2.4k papers), Hydrology and Watershed Management Studies (2.4k papers), Plant Water Relations and Carbon Dynamics (1.9k papers), Remote Sensing and Land Use (1.8k papers), Atmospheric chemistry and aerosols (1.4k papers) and Functional Brain Connectivity Studies (1.3k papers). Their work is cited by papers focused on Global and Planetary Change (299.3k citations), Environmental Engineering (161.9k citations), Water Science and Technology (144.4k citations), Atmospheric Science (167.5k citations) and Health, Toxicology and Mutagenesis (110.4k citations). Authors at Beijing Normal University collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including The Science of The Total Environment, Remote Sensing, Journal of Cleaner Production, Sustainability and Frontiers in Psychology. Some of Beijing Normal University's most productive authors include Yong He, Zhifeng Yang, Dongpeng Yan, Jianguo Wu, Chao‐Gan Yan, Baojun Xu, Peijun Shi, Wei‐Hai Fang, Sérgio Ulgiati and Fu‐Guo Deng.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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