Guang J. Zhang

7.5k total citations
174 papers, 4.7k citations indexed

About

Guang J. Zhang is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Guang J. Zhang has authored 174 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Global and Planetary Change, 139 papers in Atmospheric Science and 28 papers in Oceanography. Recurrent topics in Guang J. Zhang's work include Climate variability and models (127 papers), Meteorological Phenomena and Simulations (113 papers) and Atmospheric aerosols and clouds (44 papers). Guang J. Zhang is often cited by papers focused on Climate variability and models (127 papers), Meteorological Phenomena and Simulations (113 papers) and Atmospheric aerosols and clouds (44 papers). Guang J. Zhang collaborates with scholars based in United States, China and Canada. Guang J. Zhang's co-authors include Xiaoliang Song, M. Mu, Yong Wang, Michael J. McPhaden, Xiaoqing Wu, Fengfei Song, Ming Cai, Aixue Hu, E. Suhas and N. A. McFarlane and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Guang J. Zhang

167 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang J. Zhang United States 39 4.1k 4.0k 815 261 118 174 4.7k
Mario Marcello Miglietta Italy 36 2.5k 0.6× 2.8k 0.7× 663 0.8× 328 1.3× 78 0.7× 144 3.4k
Brian A. Colle United States 43 4.3k 1.0× 4.9k 1.2× 611 0.7× 524 2.0× 74 0.6× 142 5.6k
Shaocheng Xie United States 40 4.6k 1.1× 4.5k 1.1× 316 0.4× 203 0.8× 75 0.6× 150 5.0k
Andrea Molod United States 31 2.8k 0.7× 2.8k 0.7× 524 0.6× 228 0.9× 169 1.4× 100 3.4k
Melville E. Nicholls United States 20 2.7k 0.7× 3.3k 0.8× 626 0.8× 596 2.3× 232 2.0× 34 3.8k
J. Srinivasan India 32 2.2k 0.5× 2.5k 0.6× 363 0.4× 200 0.8× 126 1.1× 148 3.5k
Judith Berner United States 23 2.5k 0.6× 2.6k 0.7× 365 0.4× 523 2.0× 138 1.2× 44 3.2k
Philippe Drobinski France 39 3.4k 0.8× 3.1k 0.8× 578 0.7× 883 3.4× 224 1.9× 175 4.5k
John Methven United Kingdom 30 2.8k 0.7× 2.9k 0.7× 553 0.7× 284 1.1× 297 2.5× 115 3.6k
Alberto Arribas United Kingdom 27 3.0k 0.7× 2.9k 0.7× 733 0.9× 323 1.2× 46 0.4× 41 3.7k

Countries citing papers authored by Guang J. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Guang J. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang J. Zhang. 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 Guang J. Zhang. The network helps show where Guang J. Zhang may publish in the future.

Co-authorship network of co-authors of Guang J. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Guang J. Zhang. A scholar is included among the top collaborators of Guang J. Zhang 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 Guang J. Zhang. Guang J. Zhang 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.
Terai, Christopher R., Shaocheng Xie, Xiaoliang Song, et al.. (2025). Impact of Microphysics and Convection Schemes on the Mean‐State and Variability of Clouds and Precipitation in the E3SM Atmosphere Model. Journal of Advances in Modeling Earth Systems. 17(8).
2.
Wright, Jonathon S., Jiao Chen, Sean Davis, et al.. (2025). Evaluating reanalysis representations of climatological trace gas distributions in the Asian monsoon tropopause layer. Atmospheric chemistry and physics. 25(17). 9617–9643.
3.
Liu, Shu, Yong Wang, Peng Gong, et al.. (2025). Regional warming from urbanization is disproportionate to urban expansion rate. One Earth. 8(3). 101234–101234. 3 indexed citations
4.
Zhang, Meng, Shaocheng Xie, Zhe Feng, et al.. (2024). Mesoscale Convective Systems Represented in High Resolution E3SMv2 and Impact of New Cloud and Convection Parameterizations. Journal of Geophysical Research Atmospheres. 129(18). 1 indexed citations
5.
Shan, Yunpeng, Jiwen Fan, Kai Zhang, et al.. (2024). Improving Aerosol Radiative Forcing and Climate in E3SM: Impacts of New Cloud Microphysics and Improved Wet Removal Treatments. Journal of Advances in Modeling Earth Systems. 16(8). 6 indexed citations
6.
Liu, Zhengyu, Lonnie G. Thompson, Ellen Mosley‐Thompson, et al.. (2023). Tropical mountain ice core δ 18 O: A Goldilocks indicator for global temperature change. Science Advances. 9(45). eadi6725–eadi6725. 8 indexed citations
7.
Zhang, Guang J., et al.. (2023). An Ensemble of Neural Networks for Moist Physics Processes, Its Generalizability and Stable Integration. Journal of Advances in Modeling Earth Systems. 15(10). 9 indexed citations
9.
Zhang, Guang J., et al.. (2022). Coupling Characteristics of a Co-flow Water Mist System and Normal Temperature Counter Air Jets. Fire Technology. 58(5). 2755–2778. 2 indexed citations
10.
Yang, Ben, Minghuai Wang, Guang J. Zhang, et al.. (2022). Parameterizing Convective Organization Effects With a Moisture‐PDF Approach in Climate Models: Concept and a Regional Case Simulation. Journal of Advances in Modeling Earth Systems. 14(5). 8 indexed citations
11.
Yang, Ben, Minghuai Wang, Guang J. Zhang, et al.. (2021). Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability. Journal of Advances in Modeling Earth Systems. 13(5). 18 indexed citations
12.
Cui, Zeyu, Guang J. Zhang, Yong Wang, & Shaocheng Xie. (2021). Understanding the Roles of Convective Trigger Functions in the Diurnal Cycle of Precipitation in the NCAR CAM5. Journal of Climate. 34(15). 6473–6489. 19 indexed citations
14.
Wang, Yong, et al.. (2021). What rainfall rates are most important to wet removal of different aerosol types?. Atmospheric chemistry and physics. 21(22). 16797–16816. 16 indexed citations
15.
Wang, Jingyu, Jiwen Fan, Robert A. Houze, et al.. (2021). Using radar observations to evaluate 3-D radar echo structure simulated by the Energy Exascale Earth System Model (E3SM) version 1. Geoscientific model development. 14(2). 719–734. 6 indexed citations
16.
Wang, Yong, Guang J. Zhang, Shaocheng Xie, et al.. (2021). Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model. Geoscientific model development. 14(3). 1575–1593. 13 indexed citations
17.
Wright, Jonathon S., Xiaoyi Sun, Paul Konopka, et al.. (2020). Differences in tropical high clouds among reanalyses: origins and radiative impacts. Atmospheric chemistry and physics. 20(14). 8989–9030. 37 indexed citations
18.
Ron, A., Swati Chaudhary, Guang J. Zhang, et al.. (2020). Ultrafast Enhancement of Ferromagnetic Spin Exchange Induced by Ligand-to-Metal Charge Transfer. Physical Review Letters. 125(19). 197203–197203. 22 indexed citations
19.
Yang, Ben, Minghuai Wang, Guang J. Zhang, et al.. (2020). Simulated Precipitation Diurnal Variation With a Deep Convective Closure Subject to Shallow Convection in Community Atmosphere Model Version 5 Coupled With CLUBB. Journal of Advances in Modeling Earth Systems. 12(7). 10 indexed citations
20.
Cole, Jason N. S., et al.. (2019). Convective response to large-scale forcing in the tropical western Pacific simulated by spCAM5 and CanAM4.3. Geoscientific model development. 12(5). 2107–2117. 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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