Chenglai Wu

2.2k total citations
65 papers, 1.3k citations indexed

About

Chenglai Wu is a scholar working on Global and Planetary Change, Atmospheric Science and Plant Science. According to data from OpenAlex, Chenglai Wu has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 50 papers in Atmospheric Science and 10 papers in Plant Science. Recurrent topics in Chenglai Wu's work include Atmospheric chemistry and aerosols (38 papers), Atmospheric aerosols and clouds (36 papers) and Climate variability and models (21 papers). Chenglai Wu is often cited by papers focused on Atmospheric chemistry and aerosols (38 papers), Atmospheric aerosols and clouds (36 papers) and Climate variability and models (21 papers). Chenglai Wu collaborates with scholars based in China, United States and United Kingdom. Chenglai Wu's co-authors include Xiaohong Liu, Zhaohui Lin, Zheng Lu, Mingxuan Wu, Hunter Brown, Stefan Rahimi, Yaping Shao, Ying Li, Yan Feng and Yiquan Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Climate.

In The Last Decade

Chenglai Wu

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglai Wu China 22 996 943 192 177 83 65 1.3k
Ali Mamtimin China 17 714 0.7× 696 0.7× 291 1.5× 57 0.3× 35 0.4× 118 1.0k
Wen Huo China 17 563 0.6× 665 0.7× 334 1.7× 44 0.2× 36 0.4× 98 902
Tanja Stanelle Germany 10 700 0.7× 707 0.7× 94 0.5× 84 0.5× 31 0.4× 17 917
Éric Lamaud France 22 640 0.6× 694 0.7× 169 0.9× 184 1.0× 362 4.4× 36 1.0k
Xinghua Yang China 14 399 0.4× 426 0.5× 282 1.5× 43 0.2× 30 0.4× 65 594
Gerardo Fratini Italy 15 482 0.5× 770 0.8× 149 0.8× 38 0.2× 107 1.3× 24 949
R. Burkard Switzerland 10 381 0.4× 558 0.6× 135 0.7× 28 0.2× 49 0.6× 15 703
P. Hummelshøj Denmark 15 480 0.5× 601 0.6× 52 0.3× 178 1.0× 216 2.6× 21 860
Catherine E. Scott United Kingdom 15 762 0.8× 768 0.8× 25 0.1× 363 2.1× 125 1.5× 31 1.1k
F. Desiato Italy 12 310 0.3× 416 0.4× 21 0.1× 64 0.4× 23 0.3× 21 571

Countries citing papers authored by Chenglai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglai Wu. A scholar is included among the top collaborators of Chenglai Wu 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 Chenglai Wu. Chenglai Wu 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.
Shao, Yaping, Siyu Chen, Ning Huang, et al.. (2025). Source Limitation Could Have Major Implications to Dust Emission Estimates. Geophysical Research Letters. 52(5).
2.
Liu, Xiaohong, Chenglai Wu, Guangxing Lin, et al.. (2024). Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices. Geophysical Research Letters. 51(9). 2 indexed citations
3.
Lin, Guangxing, et al.. (2024). Constraining Light Absorption of Brown Carbon in China and Implications for Aerosol Direct Radiative Effect. Geophysical Research Letters. 51(16). 6 indexed citations
4.
Lin, Zhaohui, et al.. (2024). Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East. Atmospheric Research. 303. 107324–107324. 2 indexed citations
5.
Liu, Ning, et al.. (2023). Novel insights into maize (Zea mays) development and organogenesis for agricultural optimization. Planta. 257(5). 94–94. 2 indexed citations
6.
Zhang, Mingjie, Bing Chen, Xue Wu, et al.. (2023). Anthropogenic heat due to energy consumption contributes to cooler and wetter summers in Southwest China. Frontiers in Earth Science. 11. 1 indexed citations
7.
Chen, Bing, Chenglai Wu, Huiyi Yang, et al.. (2023). Anthropogenic heat release due to energy consumption exacerbates European summer extreme high temperature. Climate Dynamics. 61(7-8). 3831–3843. 3 indexed citations
8.
Lin, Zhaohui, et al.. (2022). Simulation of Summer Rainfall in Thailand by IAP-AGCM4.1. Atmosphere. 13(5). 805–805. 4 indexed citations
9.
Bueh, Cholaw, et al.. (2022). Pattern Transition of Dust Events over Northern China and Mongolia and Its Modulating Circulation in Spring. SOLA. 18(0). 159–166. 3 indexed citations
10.
Lu, Zheng, Yong Wang, Xiaohong Liu, et al.. (2022). Black carbon-climate interactions regulate dust burdens over India revealed during COVID-19. Nature Communications. 13(1). 1839–1839. 29 indexed citations
11.
Wu, Chenglai, Zhaohui Lin, Yaping Shao, Xiaohong Liu, & Ying Li. (2022). Drivers of recent decline in dust activity over East Asia. Nature Communications. 13(1). 7105–7105. 90 indexed citations
12.
Wu, Chenglai, Zhaohui Lin, Xiaohong Liu, et al.. (2021). Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events. Journal of Advances in Modeling Earth Systems. 13(10). 13 indexed citations
13.
Feng, Xingya, Rui Mao, Daoyi Gong, et al.. (2020). Increased Dust Aerosols in the High Troposphere Over the Tibetan Plateau From 1990s to 2000s. Journal of Geophysical Research Atmospheres. 125(13). 35 indexed citations
14.
Zhang, Xiaoxiao, Brenton Sharratt, Jiaqiang Lei, et al.. (2019). Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle. Atmospheric Environment. 209. 1–13. 16 indexed citations
15.
Wu, Mingxuan, Xiaohong Liu, Leiming Zhang, et al.. (2018). Impacts of Aerosol Dry Deposition on Black Carbon Spatial Distributions and Radiative Effects in the Community Atmosphere Model CAM5. Journal of Advances in Modeling Earth Systems. 10(5). 1150–1171. 33 indexed citations
16.
Wu, Chenglai, Xiaohong Liu, Zhaohui Lin, et al.. (2017). Exploring a Variable‐Resolution Approach for Simulating Regional Climate in the Rocky Mountain Region Using the VR‐CESM. Journal of Geophysical Research Atmospheres. 122(20). 55 indexed citations
17.
Wu, Chenglai, Xiaohong Liu, Minghui Diao, et al.. (2017). Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations. Atmospheric chemistry and physics. 17(7). 4731–4749. 13 indexed citations
18.
Wu, Chenglai & Zhaohui Lin. (2013). Uncertainty in Dust Budget over East Asia Simulated by WRF/Chem with Six Different Dust Emission Schemes. Atmospheric and Oceanic Science Letters. 6(6). 428–433. 7 indexed citations
19.
Zhang, Qianqian, et al.. (2012). Association analysis of important agronomical traits of maize inbred lines with SSRs. Australian Journal of Crop Science. 6(6). 1131–1138. 24 indexed citations
20.
Xu, Rui, et al.. (2009). Drought-resistance evaluation system of maize inbred.. Zhongguo nongye Kexue. 42(1). 72–84. 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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