Guolin Feng

4.3k total citations · 1 hit paper
321 papers, 3.3k citations indexed

About

Guolin Feng is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Guolin Feng has authored 321 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 270 papers in Global and Planetary Change, 201 papers in Atmospheric Science and 64 papers in Oceanography. Recurrent topics in Guolin Feng's work include Climate variability and models (235 papers), Meteorological Phenomena and Simulations (145 papers) and Oceanographic and Atmospheric Processes (56 papers). Guolin Feng is often cited by papers focused on Climate variability and models (235 papers), Meteorological Phenomena and Simulations (145 papers) and Oceanographic and Atmospheric Processes (56 papers). Guolin Feng collaborates with scholars based in China, United States and Malaysia. Guolin Feng's co-authors include Wenjie Dong, Zhiqiang Gong, Wei Hou, Shaobo Qiao, Junhu Zhao, Chou Jifan, Taichen Feng, Rong Zhi, Tao Su and Yong-Ping Wu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Guolin Feng

300 papers receiving 2.8k citations

Hit Papers

Linkages of unprecedented 2022 Yangtze River Valley heatw... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guolin Feng China 26 2.6k 1.9k 575 378 346 321 3.3k
Niklas Boers Germany 30 2.5k 0.9× 1.5k 0.8× 246 0.4× 163 0.4× 394 1.1× 116 3.6k
Christian L. E. Franzke Germany 38 3.4k 1.3× 3.0k 1.5× 845 1.5× 103 0.3× 498 1.4× 131 4.3k
Bedartha Goswami India 28 2.2k 0.8× 2.0k 1.1× 680 1.2× 115 0.3× 136 0.4× 58 3.0k
Abdel Hannachi Sweden 26 2.8k 1.1× 2.4k 1.3× 907 1.6× 156 0.4× 146 0.4× 93 3.4k
Gabriele Messori Sweden 30 2.0k 0.8× 1.9k 1.0× 318 0.6× 98 0.3× 163 0.5× 133 2.8k
M. R. Allen United Kingdom 11 1.6k 0.6× 1.6k 0.8× 640 1.1× 104 0.3× 210 0.6× 17 2.9k
Timothy DelSole United States 37 3.0k 1.1× 2.6k 1.4× 841 1.5× 209 0.6× 119 0.3× 125 3.5k
Frank Selten Netherlands 32 2.1k 0.8× 2.4k 1.2× 488 0.8× 192 0.5× 64 0.2× 84 3.3k
Zengyun Hu China 28 1.5k 0.6× 990 0.5× 260 0.5× 399 1.1× 77 0.2× 86 2.8k
Henning W. Rust Germany 24 2.3k 0.9× 1.7k 0.9× 128 0.2× 556 1.5× 219 0.6× 82 2.9k

Countries citing papers authored by Guolin Feng

Since Specialization
Citations

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

Fields of papers citing papers by Guolin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guolin Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Guolin Feng. A scholar is included among the top collaborators of Guolin Feng 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 Guolin Feng. Guolin Feng 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.
Hu, Zhiyuan, et al.. (2025). Distribution characteristics and air-quality effect of intercontinental transport dust: An unexpected dust storm case study in China. Atmospheric Environment. 350. 121177–121177. 1 indexed citations
2.
Yang, Ruowen, et al.. (2024). The contribution of Arabian Sea warming to decreasing summer precipitation in the northern Greater Mekong Subregion. Atmospheric Research. 311. 107714–107714. 2 indexed citations
3.
Fan, Peiyi, et al.. (2024). Neural network-based climate index: Advancing rainfall prediction in EI Niño contexts. Atmospheric Research. 300. 107216–107216. 2 indexed citations
4.
Fan, Peiyi, et al.. (2024). Analysis of global vegetation resilience under different future climate scenarios. Climate Dynamics. 62(8). 7967–7980. 3 indexed citations
5.
Ma, Qianrong, et al.. (2024). Multiscale interaction underlying 2022 concurrent extreme precipitation in Pakistan and heatwave in Yangtze River Valley. npj Climate and Atmospheric Science. 7(1). 6 indexed citations
6.
Ma, Qianrong, et al.. (2023). Impact of spring Tibetan Plateau snow cover on extreme precipitation in Pakistan in July and August 2022. Atmospheric Research. 295. 107007–107007. 12 indexed citations
7.
Ma, Qianrong, et al.. (2023). Interannual variability of extreme precipitation in late summer over west China during 1961–2021. Frontiers in Environmental Science. 11. 2 indexed citations
8.
Ma, Qianrong, Zhiheng Chen, Jiang Liu, et al.. (2023). Interannual Variability of Extreme Precipitation during the Boreal Summer over Northwest China. Remote Sensing. 15(3). 785–785. 5 indexed citations
9.
Su, Tao, et al.. (2023). Dominant Modes and Mechanisms of Atmospheric Rivers in East Asia. SSRN Electronic Journal. 1 indexed citations
10.
Ma, Yuanyuan, et al.. (2023). Different Characteristics and Drivers of the Extraordinary Pakistan Rainfall in July and August 2022. Remote Sensing. 15(9). 2311–2311. 13 indexed citations
12.
Qiao, Shaobo, Rong Zhi, Shankai Tang, et al.. (2023). Evolution and prediction of the extreme rainstorm event in July 2021 in Henan province, China. Atmospheric Science Letters. 24(6). 5 indexed citations
13.
Zheng, Ting, et al.. (2023). Intraseasonal variations in winter surface air temperature over China and its prediction skill in ECMWF System5. International Journal of Climatology. 43(12). 5444–5463. 1 indexed citations
14.
Wang, Yejuan, et al.. (2023). Attractor radius for fractional Lorenz systems and their application to the quantification of predictability limits. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(1). 13105–13105. 1 indexed citations
15.
Tang, Shankai, Shaobo Qiao, Bin Wang, et al.. (2023). Author Correction: Linkages of unprecedented 2022 Yangtze River Valley heatwaves to Pakistan flood and triple-dip La Niña. npj Climate and Atmospheric Science. 6(1). 2 indexed citations
16.
Su, Tao, Siyuan Sun, Shuting Wang, et al.. (2022). Spatiotemporal Variation of Actual Evapotranspiration and Its Relationship with Precipitation in Northern China under Global Warming. Remote Sensing. 14(18). 4554–4554. 5 indexed citations
17.
18.
Su, Tao, Taichen Feng, Zixuan Han, et al.. (2021). Long‐term mean changes in actual evapotranspiration over China under climate warming and the attribution analysis within the Budyko framework. International Journal of Climatology. 42(2). 1136–1147. 25 indexed citations
19.
Qiao, Shaobo, Dong Chen, Bin Wang, et al.. (2021). The Longest 2020 Meiyu Season Over the Past 60 Years: Subseasonal Perspective and Its Predictions. Geophysical Research Letters. 48(9). 109 indexed citations
20.
Zheng, Zhihai, et al.. (2021). The zonal gradient structures of wintertime SST anomalies in the equatorial Pacific and their connection to the Walker circulation. Climate Dynamics. 58(3-4). 841–859. 4 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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