Meigen Zhang

7.0k total citations
186 papers, 5.2k citations indexed

About

Meigen Zhang is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Meigen Zhang has authored 186 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Atmospheric Science, 93 papers in Global and Planetary Change and 78 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Meigen Zhang's work include Atmospheric chemistry and aerosols (121 papers), Air Quality and Health Impacts (75 papers) and Atmospheric Ozone and Climate (52 papers). Meigen Zhang is often cited by papers focused on Atmospheric chemistry and aerosols (121 papers), Air Quality and Health Impacts (75 papers) and Atmospheric Ozone and Climate (52 papers). Meigen Zhang collaborates with scholars based in China, United States and Japan. Meigen Zhang's co-authors include Han Xiao, Qingyang Liu, Yi Gao, Yanju Liu, Lingyun Zhu, Renjian Zhang, A. F. Wang, Xianhui Chen, Jianjun Ying and Minghui Tao and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Meigen Zhang

182 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meigen Zhang China 41 3.0k 2.1k 2.0k 1.0k 719 186 5.2k
A. Piazzalunga Italy 37 1.7k 0.5× 1.8k 0.9× 652 0.3× 645 0.6× 284 0.4× 73 3.5k
Zhaosheng Wang China 31 313 0.1× 363 0.2× 461 0.2× 510 0.5× 1.4k 2.0× 119 2.8k
Yetang Wang China 26 1.3k 0.4× 505 0.2× 572 0.3× 189 0.2× 170 0.2× 109 2.4k
Susanne E. Bauer United States 33 2.9k 1.0× 1.0k 0.5× 2.6k 1.3× 312 0.3× 52 0.1× 116 4.5k
Frédéric Chevallier France 66 7.8k 2.6× 803 0.4× 10.5k 5.3× 1.5k 1.4× 232 0.3× 258 13.3k
M. L. Williams United Kingdom 32 1.9k 0.6× 2.2k 1.0× 889 0.4× 940 0.9× 81 0.1× 114 4.6k
Senlin Lü China 29 1.6k 0.5× 1.8k 0.9× 342 0.2× 691 0.7× 135 0.2× 113 3.2k
Hans Moosmüller United States 49 7.6k 2.5× 4.6k 2.2× 5.0k 2.5× 1.1k 1.1× 32 0.0× 173 9.5k
Zirui Liu China 50 5.9k 2.0× 5.5k 2.6× 2.9k 1.4× 2.5k 2.5× 162 0.2× 243 8.2k
K. E. J. Lehtinen Finland 51 8.1k 2.7× 4.1k 1.9× 5.4k 2.7× 1000 1.0× 88 0.1× 224 9.6k

Countries citing papers authored by Meigen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Meigen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meigen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Meigen Zhang. A scholar is included among the top collaborators of Meigen 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 Meigen Zhang. Meigen 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.
Liu, Weican, et al.. (2024). Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model. Ecological Informatics. 83. 102806–102806. 1 indexed citations
2.
Kou, Xingxia, Zhen Peng, Yi Gao, Han Xiao, & Meigen Zhang. (2024). Ozone variability and the impacts of associated synoptic patterns over China during summer 2016–2020 based on a regional atmospheric composition reanalysis dataset. Atmospheric Environment. 340. 120919–120919.
3.
Kou, Xingxia, Zhen Peng, Han Xiao, et al.. (2024). China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system. Atmospheric Pollution Research. 16(1). 102333–102333. 1 indexed citations
4.
Wang, Fangyuan, et al.. (2024). Investigating trends and causes of simultaneous high pollution from PM2.5 and ozone in China, 2015–2023. Atmospheric Pollution Research. 16(1). 102351–102351. 1 indexed citations
6.
Gao, Yi, et al.. (2023). The impact of aerosol-meteorology feedback on the effectiveness of emission reduction for PM2.5: A modeling case study in Northern China. Atmospheric Research. 294. 106963–106963. 6 indexed citations
7.
Yang, Yuekui, Αlbert Galy, Jian Zhang, et al.. (2023). Dust transport enhanced land surface weatherability in a cooling world. Geochemical Perspectives Letters. 26. 36–39. 5 indexed citations
8.
Kou, Xingxia, Zhen Peng, Meigen Zhang, et al.. (2023). The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS). Atmospheric chemistry and physics. 23(12). 6719–6741. 11 indexed citations
9.
Li, Jialin, Xu Guan, Meng Fan, et al.. (2023). Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model. Atmospheric Environment. 317. 120207–120207. 3 indexed citations
10.
Tan, Jiani, Joshua S. Fu, Gregory R. Carmichael, et al.. (2020). Why do models perform differently on particulate matter over East Asia? A multi-model intercomparison study for MICS-Asia III. Atmospheric chemistry and physics. 20(12). 7393–7410. 19 indexed citations
11.
Itahashi, Syuichi, Baozhu Ge, Keiichi Sato, et al.. (2020). MICS-Asia III: overview of model intercomparison and evaluation of acid deposition over Asia. Atmospheric chemistry and physics. 20(5). 2667–2693. 50 indexed citations
13.
Chen, Lei, Yi Gao, Meigen Zhang, et al.. (2019). MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia. Atmospheric chemistry and physics. 19(18). 11911–11937. 60 indexed citations
14.
Zhang, Meigen, Hongjian Tan, Jiping Liu, et al.. (2017). Large-scale transport of PM2.5 in the lower troposphere during winter cold surges in China. Scientific Reports. 7(1). 13238–13238. 62 indexed citations
15.
Zhao, Biqiang, Juntao Zhu, Bo Xiong, et al.. (2014). An empirical model of the occurrence of an additional layer in the ionosphere from the occultation technique: Preliminary results. Journal of Geophysical Research Space Physics. 119(12). 15 indexed citations
16.
Liu, Qingyang, et al.. (2014). [Chemical characteristics in airborne particulate matter (PM10) during a high pollution spring dust storm episode in Beijing, Tianjin and Zhangjiakou, China].. PubMed. 35(8). 2843–50. 1 indexed citations
17.
Liu, Shaolin, Youshan Liu, Wenshuai Wang, Xiaofan Li, & Meigen Zhang. (2013). Optimal generalized Shannon singular kernel convolution differentiator in seismic wavefield modeling. 48(3). 410–416. 1 indexed citations
18.
Kou, Xingxia, Meigen Zhang, & Zhen Peng. (2013). Numerical Simulation of CO 2 Concentrations in East Asia with RAMS-CMAQ. Atmospheric and Oceanic Science Letters. 6(4). 179–184. 3 indexed citations
19.
Gao, Yi, Meigen Zhang, Xiaohong Liu, & Chun Zhao. (2012). Model Analysis of the Anthropogenic Aerosol Effect on Clouds over East Asia. Atmospheric and Oceanic Science Letters. 5(1). 1–7. 3 indexed citations
20.
Liu, Hongnian, et al.. (2009). Development and application of urban haze numerical forecast model.. The Research of Environmental Sciences. 22(6). 631–636. 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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