Hui Wan

4.6k total citations · 1 hit paper
70 papers, 1.7k citations indexed

About

Hui Wan is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Hui Wan has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Atmospheric Science, 50 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in Hui Wan's work include Climate variability and models (35 papers), Meteorological Phenomena and Simulations (33 papers) and Atmospheric aerosols and clouds (17 papers). Hui Wan is often cited by papers focused on Climate variability and models (35 papers), Meteorological Phenomena and Simulations (33 papers) and Atmospheric aerosols and clouds (17 papers). Hui Wan collaborates with scholars based in United States, China and Germany. Hui Wan's co-authors include Kai Zhang, Val R. Swail, Xiaolan L. Wang, Yang Feng, Ewa J. Milewska, Lucie A. Vincent, Ulrike Lohmann, J. Kazil, Po‐Lun Ma and Philip Stier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Langmuir.

In The Last Decade

Hui Wan

64 papers receiving 1.7k citations

Hit Papers

Postoperative cognitive dysfunction—current research prog... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Wan United States 21 1.3k 1.3k 160 108 102 70 1.7k
David M. Romps United States 30 2.6k 1.9× 2.7k 2.1× 179 1.1× 304 2.8× 86 0.8× 77 3.2k
Jean‐Yves Grandpeix France 17 1.2k 0.9× 1.2k 0.9× 187 1.2× 84 0.8× 26 0.3× 31 1.6k
Kentaroh Suzuki Japan 29 3.2k 2.4× 3.2k 2.5× 105 0.7× 145 1.3× 120 1.2× 99 3.6k
Lewis D. Grasso United States 15 1.9k 1.5× 1.6k 1.2× 375 2.3× 395 3.7× 151 1.5× 34 2.2k
Jeffrey H. Copeland United States 5 1.2k 0.9× 1.1k 0.9× 93 0.6× 374 3.5× 145 1.4× 8 1.6k
Michel Roch Canada 15 2.0k 1.5× 1.6k 1.3× 257 1.6× 253 2.3× 157 1.5× 20 2.2k
Helen Dacre United Kingdom 25 1.8k 1.3× 1.8k 1.4× 239 1.5× 147 1.4× 72 0.7× 73 2.0k
M. J. Manton Australia 31 2.2k 1.7× 2.1k 1.6× 297 1.9× 320 3.0× 61 0.6× 139 2.8k
Tetsuya Takemi Japan 30 2.2k 1.6× 1.9k 1.5× 391 2.4× 470 4.4× 54 0.5× 162 2.8k
Michael Jensen United States 24 1.7k 1.3× 1.7k 1.3× 95 0.6× 103 1.0× 73 0.7× 91 2.0k

Countries citing papers authored by Hui Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Wan. A scholar is included among the top collaborators of Hui Wan 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 Hui Wan. Hui Wan 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.
Wan, Hui, Berk Geveci, R. C. Easter, et al.. (2025). Features of mid- and high-latitude low-level clouds and their relation to strong aerosol effects in the Energy Exascale Earth System Model version 2 (E3SMv2). Geoscientific model development. 18(17). 5655–5680.
2.
Fierce, Laura, R. C. Easter, Po‐Lun Ma, et al.. (2024). Quantifying structural errors in cloud condensation nuclei activity from reduced representation of aerosol size distributions. Journal of Aerosol Science. 181. 106388–106388. 1 indexed citations
3.
Shu, Yu, et al.. (2024). Investigation of thermal compression effect on the formation of Cu-Au heterogeneous interface: A molecular dynamics study. Materials Today Communications. 40. 110143–110143. 1 indexed citations
4.
6.
Shu, Yu, et al.. (2024). Nondestructive Demolding of Structure-Designable High-Aspect-Ratio Nanoimprint Template. Langmuir. 40(38). 20057–20061.
7.
Song, Xiaoliang, Guang J. Zhang, Hui Wan, & Shaocheng Xie. (2023). Incorporating the Effect of Large‐Scale Vertical Motion on Convection Through Convective Mass Flux Adjustment in E3SMv2. Journal of Advances in Modeling Earth Systems. 15(10). 4 indexed citations
8.
Zhang, Shixuan, Vincent E. Larson, Quan M. Bui, et al.. (2023). Removing Numerical Pathologies in a Turbulence Parameterization Through Convergence Testing. Journal of Advances in Modeling Earth Systems. 15(5).
9.
Lauritzen, P. H., Nicholas Kevlahan, Thomas Toniazzo, et al.. (2022). Reconciling and Improving Formulations for Thermodynamics and Conservation Principles in Earth System Models (ESMs). Journal of Advances in Modeling Earth Systems. 14(9). 14 indexed citations
10.
Salzmann, Marc, Sylvaine Ferrachat, Steffen Münch, et al.. (2022). The Global Atmosphere‐aerosol Model ICON‐A‐HAM2.3–Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness. Journal of Advances in Modeling Earth Systems. 14(4). e2021MS002699–e2021MS002699. 11 indexed citations
11.
Wan, Hui, Kai Zhang, Philip J. Rasch, et al.. (2022). CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM). Geoscientific model development. 15(8). 3205–3231. 4 indexed citations
12.
Wan, Hui, Shixuan Zhang, Philip J. Rasch, et al.. (2021). Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1. Geoscientific model development. 14(4). 1921–1948. 14 indexed citations
13.
Wan, Hui, Carol S. Woodward, Shixuan Zhang, et al.. (2020). Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: The Impacts of Closure Assumption and Process Coupling. Journal of Advances in Modeling Earth Systems. 12(10). 5 indexed citations
14.
15.
Sarangi, Chandan, Yun Qian, Karl Rittger, et al.. (2019). Impact of light-absorbing particles on snow albedo darkening and associated radiative forcing over high-mountain Asia: high-resolution WRF-Chem modeling and new satellite observations. Atmospheric chemistry and physics. 19(10). 7105–7128. 52 indexed citations
16.
Wan, Hui, et al.. (2014). Short ensembles: an efficient method for discerning climate-relevant sensitivities in atmospheric general circulation models. Geoscientific model development. 7(5). 1961–1977. 44 indexed citations
17.
Vincent, Lucie A., Xiaolan L. Wang, Ewa J. Milewska, et al.. (2012). A second generation of homogenized Canadian monthly surface air temperature for climate trend analysis. Journal of Geophysical Research Atmospheres. 117(D18). 294 indexed citations
18.
Zhang, Kai, J. Feichter, J. Kazil, et al.. (2011). Radon activity in the lower troposphere and its impact on ionization rate: a global estimate using different radon emissions. Atmospheric chemistry and physics. 11(15). 7817–7838. 54 indexed citations
19.
Zhang, Kai, et al.. (2010). Tropospheric aerosol size distributions simulated by three online global aerosol models using the M7 microphysics module. Atmospheric chemistry and physics. 10(13). 6409–6434. 17 indexed citations
20.
Wan, Hui, et al.. (2008). Evaluation of the atmospheric transport in a GCM using radon measurements: sensitivity to cumulus convection parameterization. Atmospheric chemistry and physics. 8(10). 2811–2832. 39 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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