Wei He

4.2k total citations · 2 hit papers
132 papers, 2.2k citations indexed

About

Wei He is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Wei He has authored 132 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Global and Planetary Change, 25 papers in Atmospheric Science and 19 papers in Ecology. Recurrent topics in Wei He's work include Atmospheric and Environmental Gas Dynamics (35 papers), Climate variability and models (24 papers) and Plant Water Relations and Carbon Dynamics (22 papers). Wei He is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (35 papers), Climate variability and models (24 papers) and Plant Water Relations and Carbon Dynamics (22 papers). Wei He collaborates with scholars based in China, United States and Canada. Wei He's co-authors include Weimin Ju, Marjorie A. Lyles, Yanlian Zhou, Fei Jiang, Songhan Wang, Mousong Wu, Hengmao Wang, Yibo Liu, Jan U.H. Eitel and Guang Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Wei He

123 papers receiving 2.1k citations

Hit Papers

Exploring global changes ... 2022 2026 2023 2024 2022 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei He China 25 1.0k 505 469 339 165 132 2.2k
Wei Ji China 22 1.2k 1.2× 446 0.9× 822 1.8× 385 1.1× 217 1.3× 69 2.2k
Junbang Wang China 28 1.5k 1.5× 492 1.0× 894 1.9× 307 0.9× 218 1.3× 106 2.6k
Zhenhuan Liu China 24 1.0k 1.0× 224 0.4× 610 1.3× 249 0.7× 97 0.6× 121 2.1k
Wenjun Chen China 25 1.2k 1.1× 506 1.0× 435 0.9× 421 1.2× 334 2.0× 83 2.5k
Shicheng Li China 30 1.9k 1.8× 470 0.9× 899 1.9× 304 0.9× 240 1.5× 102 2.9k
Shuying Zang China 23 801 0.8× 455 0.9× 576 1.2× 378 1.1× 60 0.4× 120 2.1k
Haidong Li China 28 441 0.4× 312 0.6× 554 1.2× 354 1.0× 123 0.7× 124 2.6k
Limin Dai China 26 1.0k 1.0× 216 0.4× 467 1.0× 247 0.7× 542 3.3× 107 2.0k
Qianfeng Wang China 33 1.9k 1.9× 541 1.1× 721 1.5× 314 0.9× 157 1.0× 141 3.4k
Yuanyuan Huang China 29 735 0.7× 275 0.5× 621 1.3× 206 0.6× 181 1.1× 162 2.7k

Countries citing papers authored by Wei He

Since Specialization
Citations

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

Fields of papers citing papers by Wei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei He. 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 Wei He. The network helps show where Wei He may publish in the future.

Co-authorship network of co-authors of Wei He

This figure shows the co-authorship network connecting the top 25 collaborators of Wei He. A scholar is included among the top collaborators of Wei He 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 Wei He. Wei He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
He, Wei, et al.. (2025). Modeling carbonyl sulfide and carbon dioxide fluxes in a northern boreal coniferous forest using memory-based deep learning. Ecological Modelling. 510. 111283–111283. 1 indexed citations
3.
Liu, Junjie, David B. Baker, Sourish Basu, et al.. (2024). The reduced net carbon uptake over Northern Hemisphere land causes the close-to-normal CO 2 growth rate in 2021 La Niña. Science Advances. 10(23). eadl2201–eadl2201. 5 indexed citations
4.
Wang, Jun, Ran Yan, Guoxiong Wu, et al.. (2023). Unprecedented decline in photosynthesis caused by summer 2022 record-breaking compound drought-heatwave over Yangtze River Basin. Science Bulletin. 68(19). 2160–2163. 42 indexed citations
5.
Xue, Ting, Songbai Liu, Sha Geng, et al.. (2023). Loss of CRY2 promotes regenerative myogenesis by enhancing PAX7 expression and satellite cell proliferation. SHILAP Revista de lepidopterología. 4(1). e202–e202. 8 indexed citations
6.
Zhang, Lingyu, Fei Jiang, Wei He, et al.. (2023). A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals. Geophysical Research Letters. 50(6). 9 indexed citations
7.
Wu, Mousong, Marko Scholze, Thomas Kaminski, et al.. (2023). Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale. Remote Sensing. 15(3). 676–676. 7 indexed citations
8.
Wang, Xiaohu, et al.. (2023). Deep learning-based EEG emotion recognition: Current trends and future perspectives. Frontiers in Psychology. 14. 1126994–1126994. 53 indexed citations
9.
He, Wei, Fei Jiang, Mousong Wu, et al.. (2022). China's Terrestrial Carbon Sink Over 2010–2015 Constrained by Satellite Observations of Atmospheric CO2 and Land Surface Variables. Journal of Geophysical Research Biogeosciences. 127(2). 14 indexed citations
10.
Jiang, Fei, Wei He, Weimin Ju, et al.. (2022). The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites. Fundamental Research. 2(3). 357–366. 23 indexed citations
11.
Gong, Junyi, Wanjun Gong, Bo Wu, et al.. (2022). ASBase: The universal database for aggregate science. SHILAP Revista de lepidopterología. 4(1). 28 indexed citations
12.
Wang, Songhan, Yongguang Zhang, Janne Hakkarainen, et al.. (2018). Distinguishing Anthropogenic CO2 Emissions From Different Energy Intensive Industrial Sources Using OCO‐2 Observations: A Case Study in Northern China. Journal of Geophysical Research Atmospheres. 123(17). 9462–9473. 43 indexed citations
13.
He, Wei, Ivar R. van der Velde, A. E. Andrews, et al.. (2018). CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations. Geoscientific model development. 11(8). 3515–3536. 18 indexed citations
14.
Luijkx, Ingrid T., Ivar R. van der Velde, Aki Tsuruta, et al.. (2017). The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015. Geoscientific model development. 10(7). 2785–2800. 79 indexed citations
15.
He, Wei, W. Ju, Wouter Peters, et al.. (2016). Constraining gross primary production and ecosystem respiration estimates for North America using atmospheric observations of carbonyl sulfide (OCS) and CO 2. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
16.
Tao, Shu, Yanbin Wang, Dazhen Tang, et al.. (2012). Pore and Fracture Systems and Their Contribution to the Permeability of Coal Reservoirs in Southern Qinshui Basin. Gaoxiao dizhi xuebao. 18(3). 522–527. 4 indexed citations
17.
He, Wei. (2009). Context-aware approach for temperature monitoring and fire alarming. Journal of Computer Applications. 2 indexed citations
18.
He, Wei. (2004). The SRXRF analysis of trace elements in Cu-binding proteins separated from Elsholtzia splendens roots. Nuclear Techniques. 1 indexed citations
19.
He, Wei. (2001). Measurement of Atmospheric Pollution Gas NO_2 Column Abundance from Ground Based Solar Spectra. National Remote Sensing Bulletin. 2 indexed citations
20.
He, Wei. (2000). Effect of In situ Stress on Coalbed Permeability. Journal of Liaoning Technical University. 3 indexed citations

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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