Gen Li

3.1k total citations · 1 hit paper
82 papers, 2.5k citations indexed

About

Gen Li is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Gen Li has authored 82 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Global and Planetary Change, 68 papers in Atmospheric Science and 39 papers in Oceanography. Recurrent topics in Gen Li's work include Climate variability and models (69 papers), Oceanographic and Atmospheric Processes (37 papers) and Meteorological Phenomena and Simulations (36 papers). Gen Li is often cited by papers focused on Climate variability and models (69 papers), Oceanographic and Atmospheric Processes (37 papers) and Meteorological Phenomena and Simulations (36 papers). Gen Li collaborates with scholars based in China, United States and Bangladesh. Gen Li's co-authors include Shang‐Ping Xie, Yan Du, Chujie Gao, Baohua Ren, Yuanshu Jing, Fangmin Zhang, Yibo Liu, Ge Sun, Bo Lü and Jianqiu Zheng and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Geochimica et Cosmochimica Acta.

In The Last Decade

Gen Li

79 papers receiving 2.4k citations

Hit Papers

Tropical Biases in CMIP5 Multimodel Ensemble: The Excessi... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tropical Biases in CMIP5 Multimodel Ensemble: The Excessive Equatorial Pacific Cold Tongue and Double ITCZ Problems*
    2013 439 citations Gen Li et al. Journal of Climate profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gen Li China 25 2.1k 1.7k 1.1k 212 124 82 2.5k
Patrick Scholz Germany 20 740 0.3× 674 0.4× 280 0.3× 119 0.6× 42 0.3× 51 1.1k
Karen A. McKinnon United States 21 2.0k 0.9× 1.5k 0.9× 386 0.4× 169 0.8× 126 1.0× 48 2.3k
P. Maheras Greece 33 2.2k 1.0× 1.8k 1.1× 324 0.3× 153 0.7× 222 1.8× 74 2.6k
Wolfgang A. Müller Germany 33 2.4k 1.1× 2.1k 1.3× 869 0.8× 103 0.5× 121 1.0× 82 2.8k
Sarah Kapnick United States 28 2.1k 1.0× 2.1k 1.3× 432 0.4× 426 2.0× 94 0.8× 55 2.7k
Yukiko Imada Japan 23 1.3k 0.6× 1.0k 0.6× 376 0.3× 130 0.6× 86 0.7× 63 1.5k
Yanju Liu China 24 1.9k 0.9× 2.0k 1.2× 403 0.4× 128 0.6× 317 2.6× 78 2.6k
Ryan L. Sriver United States 23 1.0k 0.5× 963 0.6× 648 0.6× 67 0.3× 68 0.5× 52 1.5k
Carlos D. Hoyos United States 20 1.3k 0.6× 1.1k 0.7× 541 0.5× 139 0.7× 108 0.9× 43 1.6k
Colin M. Zarzycki United States 31 2.3k 1.1× 2.3k 1.4× 485 0.4× 156 0.7× 115 0.9× 72 2.7k

Countries citing papers authored by Gen Li

Since Specialization
Citations

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

Fields of papers citing papers by Gen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Li. A scholar is included among the top collaborators of Gen Li 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 Gen Li. Gen Li 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.
Li, Gen, Zixuan Han, Ran Feng, et al.. (2025). Land Surface Changes Induced a Strengthened Indian Summer Monsoon in the Mid‐Pliocene Warmer Climate. Geophysical Research Letters. 52(18).
2.
3.
Han, Zixuan & Gen Li. (2024). The changes in south Asian summer monsoon circulation during the mid-Piacenzian warm period. Climate Dynamics. 4 indexed citations
4.
Han, Zixuan, et al.. (2024). Impacts of Mid‐Pliocene Ice Sheets and Vegetation on Afro‐Asian Summer Monsoon Rainfall Revealed by EC‐Earth Simulations. Geophysical Research Letters. 51(2). 5 indexed citations
5.
Yang, Zhichao, Chujie Gao, Gen Li, et al.. (2024). Opposite summer precipitation anomalies over the Maritime Continent in fast and slow decaying El Niño cases. Atmospheric Research. 314. 107814–107814. 2 indexed citations
6.
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Ren, Baohua, et al.. (2023). Why could ENSO directly affect the occurrence frequency of Arctic daily warming events after the late 1970s?. Environmental Research Letters. 18(2). 24009–24009. 7 indexed citations
8.
Chen, Lin & Gen Li. (2023). Asymmetric effect of ENSO in the decaying stage on the central China July precipitation. Climate Dynamics. 61(5-6). 3029–3045. 12 indexed citations
9.
Ye, Changsheng, et al.. (2023). Aeolian activities change and possible mechanisms in central Asia on sub-orbital to decadal timescales. Quaternary International. 672. 30–42. 4 indexed citations
10.
Zhang, Zhiyuan & Gen Li. (2023). Strengthening effect of El Niño on the following spring Indian Ocean warming with implications for the seasonal prediction of the Asian summer monsoons. Environmental Research Communications. 5(4). 41006–41006. 2 indexed citations
11.
Li, Wen, Guijin Mu, Changsheng Ye, Lishuai Xu, & Gen Li. (2023). Aeolian activity in the southern Gurbantunggut Desert of China during the last 900 years. Journal of Arid Land. 15(6). 649–666. 3 indexed citations
12.
Gao, Chujie & Gen Li. (2023). Asymmetric effect of ENSO on the maritime continent precipitation in decaying summers. Climate Dynamics. 61(5-6). 2839–2852. 10 indexed citations
13.
Gao, Z., Shang‐Min Long, Jia‐Rui Shi, et al.. (2023). Indian Ocean mixed layer depth changes under global warming. Frontiers in Climate. 5. 8 indexed citations
14.
Wen, Qin, Haijun Yang, Kai Yang, et al.. (2022). Possible Thermal Effect of Tibetan Plateau on the Atlantic Meridional Overturning Circulation. Geophysical Research Letters. 49(4). 7 indexed citations
15.
Cao, Ning, et al.. (2021). Large Future Increase in Exposure Risks of Extreme Heat Within Southern China Under Warming Scenario. Frontiers in Earth Science. 9. 6 indexed citations
16.
17.
Long, Shang‐Min, Gen Li, Kaiming Hu, & Jun Ying. (2020). Origins of the IOD-like Biases in CMIP Multimodel Ensembles: The Atmospheric Component and Ocean–Atmosphere Coupling. Journal of Climate. 33(24). 10437–10453. 19 indexed citations
18.
Long, Shang‐Min, Kaiming Hu, Gen Li, Gang Huang, & Xia Qü. (2020). Surface Temperature Changes Projected by FGOALS Models under Low Warming Scenarios in CMIP5 and CMIP6. Advances in Atmospheric Sciences. 38(2). 203–220. 5 indexed citations
19.
Wu, Xiangbai, Qing Xu, Gen Li, et al.. (2019). Remotely-Observed Early Spring Warming in the Southwestern Yellow Sea Due to Weakened Winter Monsoon. Remote Sensing. 11(21). 2478–2478. 6 indexed citations
20.
Zhang, Yige, et al.. (2019). Low CO2 levels of the entire Pleistocene epoch. Nature Communications. 10(1). 4342–4342. 41 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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