Yan Shen

56 total papers · 3.6k total citations
37 papers, 2.9k citations indexed

About

Yan Shen is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yan Shen has authored 37 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Yan Shen's work include Meteorological Phenomena and Simulations (19 papers), Climate variability and models (17 papers) and Precipitation Measurement and Analysis (16 papers). Yan Shen is often cited by papers focused on Meteorological Phenomena and Simulations (19 papers), Climate variability and models (17 papers) and Precipitation Measurement and Analysis (16 papers). Yan Shen collaborates with scholars based in China, United States and Canada. Yan Shen's co-authors include Anyuan Xiong, Pan Yang, Jingjing Yu, Ping Zhao, Pingping Xie, Ying Wang, Yongming Xu, Hanbo Yang, Zhe Li and Kai Xu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Journal of Hydrology.

In The Last Decade

Yan Shen

34 papers receiving 2.9k citations

Hit Papers

Spatio-temporal variation... 2014 2026 2018 2022 2014 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan Shen 2.2k 2.0k 544 538 162 37 2.9k
Kirsten Warrach‐Sagi 2.1k 1.0× 1.5k 0.7× 348 0.6× 689 1.3× 118 0.7× 61 2.6k
Klaus Goergen 2.7k 1.2× 2.2k 1.1× 351 0.6× 798 1.5× 87 0.5× 48 3.2k
Frédérique Cheruy 2.1k 1.0× 1.8k 0.9× 533 1.0× 243 0.5× 95 0.6× 49 2.6k
Hans Alexandersson 2.6k 1.2× 1.9k 0.9× 377 0.7× 417 0.8× 254 1.6× 43 3.4k
Marie Ekström 1.9k 0.9× 1.2k 0.6× 288 0.5× 573 1.1× 100 0.6× 49 2.3k
Ruth Lorenz 2.4k 1.1× 1.6k 0.8× 341 0.6× 326 0.6× 162 1.0× 32 2.8k
Jan Erik Haugen 1.5k 0.7× 1.4k 0.7× 203 0.4× 527 1.0× 176 1.1× 36 2.4k
Christopher L. Castro 2.2k 1.0× 1.8k 0.9× 333 0.6× 684 1.3× 160 1.0× 78 2.8k
Bertrand Bonan 1.9k 0.9× 1.7k 0.8× 458 0.8× 308 0.6× 213 1.3× 36 2.5k
Nikolina Ban 3.5k 1.6× 3.1k 1.5× 289 0.5× 499 0.9× 89 0.5× 34 3.9k

Countries citing papers authored by Yan Shen

Since Specialization
Citations

This map shows the geographic impact of Yan Shen's research. 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 Yan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Shen more than expected).

Fields of papers citing papers by Yan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yan Shen. The network helps show where Yan Shen may publish in the future.

Co-authorship network of co-authors of Yan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Shen. A scholar is included among the top collaborators of Yan Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan Shen. Yan Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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