Zhiming Kuang

5.8k total citations · 1 hit paper
89 papers, 4.4k citations indexed

About

Zhiming Kuang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Zhiming Kuang has authored 89 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Atmospheric Science, 76 papers in Global and Planetary Change and 12 papers in Oceanography. Recurrent topics in Zhiming Kuang's work include Climate variability and models (65 papers), Meteorological Phenomena and Simulations (60 papers) and Tropical and Extratropical Cyclones Research (20 papers). Zhiming Kuang is often cited by papers focused on Climate variability and models (65 papers), Meteorological Phenomena and Simulations (60 papers) and Tropical and Extratropical Cyclones Research (20 papers). Zhiming Kuang collaborates with scholars based in United States, China and Australia. Zhiming Kuang's co-authors include William R. Boos, David M. Romps, Christopher S. Bretherton, Peter N. Blossey, Ji Nie, Pedram Hassanzadeh, Giuseppe Torri, Yuk L. Yung, Ding Ma and Eli Tziperman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Zhiming Kuang

86 papers receiving 4.3k citations

Hit Papers

Dominant control of the South Asian monsoon by orographic... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiming Kuang United States 34 3.9k 3.7k 769 161 152 89 4.4k
Gregory J. Hakim United States 37 4.3k 1.1× 3.4k 0.9× 696 0.9× 57 0.4× 150 1.0× 124 4.7k
Yongyun Hu China 34 3.2k 0.8× 2.6k 0.7× 567 0.7× 120 0.7× 94 0.6× 184 4.0k
Bruce P. Briegleb United States 31 4.3k 1.1× 3.9k 1.1× 1.2k 1.6× 40 0.2× 144 0.9× 38 5.1k
Claudia Pasquero Italy 22 1.2k 0.3× 966 0.3× 981 1.3× 250 1.6× 96 0.6× 69 2.1k
Ian Eisenman United States 28 2.2k 0.6× 1.5k 0.4× 704 0.9× 162 1.0× 110 0.7× 66 2.7k
Adrian J. Matthews United Kingdom 36 3.3k 0.8× 3.5k 1.0× 1.9k 2.5× 41 0.3× 43 0.3× 105 4.2k
Jean‐Michel Campin United States 33 2.8k 0.7× 2.1k 0.6× 2.6k 3.4× 36 0.2× 211 1.4× 62 4.3k
Aiko Voigt Germany 29 2.3k 0.6× 2.1k 0.6× 419 0.5× 41 0.3× 58 0.4× 79 2.9k
Lei Shi United States 23 1.1k 0.3× 1.1k 0.3× 914 1.2× 177 1.1× 71 0.5× 112 2.4k
Aaron Donohoe United States 24 2.0k 0.5× 1.9k 0.5× 727 0.9× 33 0.2× 161 1.1× 51 2.5k

Countries citing papers authored by Zhiming Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Zhiming Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiming Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiming Kuang. A scholar is included among the top collaborators of Zhiming Kuang 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 Zhiming Kuang. Zhiming Kuang 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.
Subramaniam, Akshay, Zhiming Kuang, Sungduk Yu, et al.. (2025). Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations. Journal of Advances in Modeling Earth Systems. 17(7).
2.
Jeevanjee, Nadir, et al.. (2024). A Refined Zero‐Buoyancy Plume Model for Large‐Scale Atmospheric Profiles and Anvil Clouds in Radiative‐Convective Equilibrium. Journal of Advances in Modeling Earth Systems. 16(11). 2 indexed citations
3.
Lamraoui, Fayçal, et al.. (2023). Sensitivity of Deep Convection and Cross‐Tropopause Water Transport to Microphysical Parameterizations in WRF. Journal of Geophysical Research Atmospheres. 128(14). 1 indexed citations
5.
Hassanzadeh, Pedram, et al.. (2021). Eddy Length Scale Response to Static Stability Change in an Idealized Dry Atmosphere: A Linear Response Function Approach*. Journal of the Atmospheric Sciences. 1 indexed citations
6.
Kuang, Zhiming, et al.. (2019). Atmospheric Blocking as an Evolution of Rossby Wave Packets. 2019. 1 indexed citations
7.
Kuang, Zhiming, et al.. (2018). The Vertical Momentum Budget of Shallow Cumulus Convection: Insights From a Lagrangian Perspective. Journal of Advances in Modeling Earth Systems. 11(1). 113–126. 6 indexed citations
8.
Moore, Mary, Peter N. Blossey, Andreas Mühlbauer, & Zhiming Kuang. (2016). Microphysical controls on the isotopic composition of wintertime orographic precipitation. Journal of Geophysical Research Atmospheres. 121(12). 7235–7253. 26 indexed citations
9.
Blossey, Peter N., M. H. Moore, Zhiming Kuang, et al.. (2015). Isotopic Fractionation in Snow (IFRACS) at Storm Peak Laboratory. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
10.
Herman, Michael J. & Zhiming Kuang. (2013). Linear response functions of two convective parameterization schemes. Journal of Advances in Modeling Earth Systems. 5(3). 510–541. 11 indexed citations
11.
Boos, William R. & Zhiming Kuang. (2013). Sensitivity of the South Asian monsoon to elevated and non-elevated heating. Scientific Reports. 3(1). 1192–1192. 122 indexed citations
12.
Kuang, Zhiming. (2012). Weakly Forced Mock Walker Cells. Journal of the Atmospheric Sciences. 69(9). 2759–2786. 39 indexed citations
13.
Romps, David M. & Zhiming Kuang. (2011). A Transilient Matrix for Moist Convection. Journal of the Atmospheric Sciences. 68(9). 2009–2025. 27 indexed citations
14.
Kuang, Zhiming, et al.. (2011). Moist Static Energy Budget of MJO-like Disturbances in the Atmosphere of a Zonally Symmetric Aquaplanet. Journal of Climate. 25(8). 2782–2804. 228 indexed citations
15.
Boos, William R. & Zhiming Kuang. (2010). Dominant control of the South Asian monsoon by orographic insulation versus plateau heating. Nature. 463(7278). 218–222. 745 indexed citations breakdown →
16.
Boos, William R. & Zhiming Kuang. (2009). Comparative Effects of Plateau Heating and Orographic Insulation on South Asian Monsoon Strength. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
17.
Romps, David M. & Zhiming Kuang. (2009). Nature versus Nurture in Shallow Convection. Journal of the Atmospheric Sciences. 67(5). 1655–1666. 90 indexed citations
18.
Kuang, Zhiming & Christopher S. Bretherton. (2004). Convective Influence on the Heat Balance of the Tropical Tropopause Layer: A Cloud-Resolving Model Study. Journal of the Atmospheric Sciences. 61(23). 2919–2927. 79 indexed citations
19.
Notholt, Justus, Debra K. Weisenstein, Zhiming Kuang, et al.. (2003). Composition of the upper tropical troposphere and its influence on the stratospheric aerosol formation. EAEJA. 4024. 2 indexed citations
20.
Kuang, Zhiming, J. S. Margolis, Geoffrey C. Toon, David Crisp, & Yuk L. Yung. (2002). Spaceborne measurements of atmospheric CO2 by high‐resolution NIR spectrometry of reflected sunlight: An introductory study. Geophysical Research Letters. 29(15). 115 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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