Yu Gu

5.6k total citations
115 papers, 3.1k citations indexed

About

Yu Gu is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yu Gu has authored 115 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Atmospheric Science, 86 papers in Global and Planetary Change and 16 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yu Gu's work include Atmospheric aerosols and clouds (64 papers), Atmospheric chemistry and aerosols (62 papers) and Atmospheric Ozone and Climate (27 papers). Yu Gu is often cited by papers focused on Atmospheric aerosols and clouds (64 papers), Atmospheric chemistry and aerosols (62 papers) and Atmospheric Ozone and Climate (27 papers). Yu Gu collaborates with scholars based in United States, China and Taiwan. Yu Gu's co-authors include K. N. Liou, Kuo‐Nan Liou, Bin Zhao, Jonathan H. Jiang, L. Ruby Leung, Hui Su, Jia Xing, Shuxiao Wang, Cenlin He and Yuan Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Yu Gu

108 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Gu United States 33 2.3k 2.1k 783 418 157 115 3.1k
Carly Reddington United Kingdom 28 2.6k 1.1× 2.3k 1.1× 1.4k 1.7× 376 0.9× 98 0.6× 61 3.5k
Arjo Segers Netherlands 31 2.8k 1.2× 2.4k 1.1× 956 1.2× 681 1.6× 83 0.5× 110 3.6k
K. Longo Brazil 34 3.5k 1.5× 3.7k 1.7× 974 1.2× 358 0.9× 47 0.3× 82 4.7k
Muhammad Bilal China 43 2.7k 1.2× 3.1k 1.4× 1.3k 1.6× 1.3k 3.1× 98 0.6× 160 4.7k
Laura Dawidowski Argentina 19 1.3k 0.6× 988 0.5× 1.1k 1.4× 463 1.1× 86 0.5× 50 2.3k
Khan Alam Pakistan 31 2.0k 0.8× 1.8k 0.9× 958 1.2× 581 1.4× 35 0.2× 122 2.9k
Liew Juneng Malaysia 37 2.1k 0.9× 2.4k 1.1× 986 1.3× 956 2.3× 66 0.4× 132 4.0k
Krishna Prasad Vadrevu United States 29 915 0.4× 1.6k 0.8× 503 0.6× 473 1.1× 71 0.5× 53 2.5k
Pedro Jiménez‐Guerrero Spain 38 2.4k 1.0× 1.8k 0.8× 1.6k 2.0× 693 1.7× 36 0.2× 136 3.6k
Thomas Lauvaux United States 34 2.5k 1.1× 3.2k 1.5× 662 0.8× 819 2.0× 120 0.8× 122 3.7k

Countries citing papers authored by Yu Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Gu. A scholar is included among the top collaborators of Yu Gu 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 Yu Gu. Yu Gu 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, Xun, et al.. (2025). Integrating Time-Series Nighttime Light Data With Static Remote Sensing and Village View Images for Hollow Villages Identification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9151–9165.
2.
Gu, Yu, et al.. (2024). Comprehensive evaluation of satellite-based precipitation products at hourly scale in Beijing. Urban Climate. 57. 102109–102109.
3.
He, Cenlin, M. Flanner, David M. Lawrence, & Yu Gu. (2024). New Features and Enhancements in Community Land Model (CLM5) Snow Albedo Modeling: Description, Sensitivity, and Evaluation. Journal of Advances in Modeling Earth Systems. 16(2). 9 indexed citations
4.
Wang, Jingyu, Yun Lin, Xianfeng Wang, Yu Gu, & Steve Hung Lam Yim. (2023). Significant changes in cloud radiative effects over Southwestern United States during the COVID-19 flight reduction period. The Science of The Total Environment. 910. 168656–168656. 1 indexed citations
5.
Zhang, Tianhao, Lunche Wang, Wei Gong, et al.. (2023). Spatial–Temporal Fusion of 10-Min Aerosol Optical Depth Products with the GEO–LEO Satellite Joint Observations. Remote Sensing. 15(8). 2038–2038. 3 indexed citations
6.
Hao, Dalei, Gautam Bisht, Karl Rittger, et al.. (2023). Evaluation of E3SM land model snow simulations over the western United States. ˜The œcryosphere. 17(2). 673–697. 11 indexed citations
7.
Wang, Jingyu, Yun Lin, Greg M. McFarquhar, et al.. (2023). Soil Moisture Observations From Shortwave Infrared Channels Reveal Tornado Tracks: A Case in 10–11 December 2021 Tornado Outbreak. Geophysical Research Letters. 50(6).
8.
Peng, Dingzhi, et al.. (2022). Snowmelt Runoff in the Yarlung Zangbo River Basin and Runoff Change in the Future. Remote Sensing. 15(1). 55–55. 14 indexed citations
9.
Hao, Dalei, Gautam Bisht, Meng Huang, et al.. (2022). Impacts of Sub‐Grid Topographic Representations on Surface Energy Balance and Boundary Conditions in the E3SM Land Model: A Case Study in Sierra Nevada. Journal of Advances in Modeling Earth Systems. 14(4). 22 indexed citations
10.
Hao, Dalei, Gautam Bisht, Yu Gu, et al.. (2021). A Parameterization of Sub-grid Topographical Effects on Solar Radiation in the E3SM Land Model (Version 1.0): Implementation and Evaluation Over the Tibetan Plateau. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
11.
Han, Xinlei, Bin Zhao, Yun Lin, et al.. (2021). Type‐Dependent Impact of Aerosols on Precipitation Associated With Deep Convective Cloud Over East Asia. Journal of Geophysical Research Atmospheres. 127(2). 10 indexed citations
12.
Hao, Dalei, Gautam Bisht, Yu Gu, et al.. (2021). A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau. Geoscientific model development. 14(10). 6273–6289. 54 indexed citations
13.
Lin, Yun, Y. Takano, Yu Gu, et al.. (2021). Investigation of Springtime Cloud Influence on Regional Climate and Its Implication in Runoff Decline in Upper Colorado River Basin. Earth and Space Science. 9(1). 1 indexed citations
14.
Leung, Danny M., Hongrong Shi, Bin Zhao, et al.. (2020). Wintertime Particulate Matter Decrease Buffered by Unfavorable Chemical Processes Despite Emissions Reductions in China. Geophysical Research Letters. 47(14). 45 indexed citations
15.
Lolli, Simone, Fabio Madonna, Marco Rosoldi, et al.. (2018). Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects. Atmospheric measurement techniques. 11(3). 1639–1651. 37 indexed citations
16.
Wu, Longtao, Yu Gu, Jonathan H. Jiang, et al.. (2018). Impacts of aerosols on seasonal precipitation and snowpack in California based on convection-permitting WRF-Chem simulations. Atmospheric chemistry and physics. 18(8). 5529–5547. 15 indexed citations
18.
Liou, K. N., et al.. (2013). A WRF simulation of the impact of 3-D radiative transfer on surface hydrology over the Rocky Mountains and Sierra Nevada. Atmospheric chemistry and physics. 13(23). 11709–11721. 29 indexed citations
20.
Zhou, Wenyan, Pinwen Guo, Yong Luo, et al.. (2008). Four-stream Radiative Transfer Parameterization Scheme in a Land Surface Process Model. 2 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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