Minghui Tao

921 total citations
40 papers, 627 citations indexed

About

Minghui Tao is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Minghui Tao has authored 40 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 13 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Minghui Tao's work include Atmospheric chemistry and aerosols (28 papers), Atmospheric aerosols and clouds (19 papers) and Air Quality and Health Impacts (13 papers). Minghui Tao is often cited by papers focused on Atmospheric chemistry and aerosols (28 papers), Atmospheric aerosols and clouds (19 papers) and Air Quality and Health Impacts (13 papers). Minghui Tao collaborates with scholars based in China, United States and Hong Kong. Minghui Tao's co-authors include Liangfu Chen, Lunche Wang, Meng Fan, Zifeng Wang, Jinhua Tao, Quan Wang, Zhaoyang Zhang, Jun Wang, Lili Wang and Changqing Lin and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Minghui Tao

35 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Tao China 16 432 426 194 141 47 40 627
Shikuan Jin China 17 515 1.2× 543 1.3× 135 0.7× 175 1.2× 49 1.0× 48 734
Hakki Baltaci Türkiye 15 246 0.6× 305 0.7× 134 0.7× 135 1.0× 20 0.4× 40 476
Ioannis Koletsis Greece 12 250 0.6× 291 0.7× 84 0.4× 162 1.1× 23 0.5× 23 543
Yinjun Wang China 15 438 1.0× 435 1.0× 128 0.7× 118 0.8× 19 0.4× 28 591
Jože Rakovec Slovenia 13 334 0.8× 349 0.8× 64 0.3× 138 1.0× 38 0.8× 36 536
Arindam Roy India 13 279 0.6× 205 0.5× 214 1.1× 95 0.7× 20 0.4× 27 462
Lijie He China 17 346 0.8× 444 1.0× 202 1.0× 163 1.2× 37 0.8× 25 690
Nikos Benas Greece 12 405 0.9× 482 1.1× 102 0.5× 127 0.9× 31 0.7× 25 624
Bülent Oktay Akkoyunlu Türkiye 12 206 0.5× 159 0.4× 135 0.7× 125 0.9× 18 0.4× 29 410

Countries citing papers authored by Minghui Tao

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Tao. A scholar is included among the top collaborators of Minghui Tao 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 Minghui Tao. Minghui Tao 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.
Tao, Minghui, Rong Li, Lijuan Zhang, et al.. (2025). Tracking NO2 and CO pollution hotspots at provincial scale in China with TROPOMI observations and image segmentation method. Atmospheric Environment. 351. 121176–121176.
3.
Tao, Minghui, Lunche Wang, Yi Wang, et al.. (2025). Efficient Multiangle Polarimetric Retrieval of Aerosols Using Data-Driven Deep Learning Method. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–9.
4.
Wang, Yi, et al.. (2025). First high temporal resolution retrievals of AOD over shallow and turbid coastal waters for Himawari-8. ISPRS Journal of Photogrammetry and Remote Sensing. 228. 603–612.
5.
Tao, Minghui, Bin Zhao, Rong Li, et al.. (2025). Estimating daily NOx and CO2 emissions in typical megacities of east China using TROPOMI NO2 observations. Atmospheric Environment. 359. 121377–121377.
6.
Wang, Lili, Xingchuan Yang, Hongfei Zhou, et al.. (2025). Reanalysis-based retrieval of near-surface ozone concentrations and its implications for ozone pollution events across China. Atmospheric Pollution Research. 16(11). 102643–102643.
7.
Tao, Minghui, Xiaoguang Xu, Jun Wang, et al.. (2024). Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 4 indexed citations
8.
Tao, Minghui, Jinxi Chen, Xiaoguang Xu, et al.. (2023). A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method. Remote Sensing of Environment. 297. 113763–113763. 19 indexed citations
9.
Tao, Minghui, Jun Wang, Lunche Wang, et al.. (2023). A Generalized Aerosol Algorithm for Multi‐Spectral Satellite Measurement With Physics‐Informed Deep Learning Method. Geophysical Research Letters. 50(24). 10 indexed citations
10.
Dong, Wenhui, Minghui Tao, Xiaoguang Xu, et al.. (2023). Satellite Aerosol Retrieval From Multiangle Polarimetric Measurements: Information Content and Uncertainty Analysis. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 7 indexed citations
11.
Zhang, Zhaoyang, et al.. (2023). Large Divergence of Satellite Monitoring of Diffuse Radiation Effect on Ecosystem Water‐Use Efficiency. Geophysical Research Letters. 50(22). 10 indexed citations
12.
13.
Lin, Changqing, Peter K.K. Louie, Zibing Yuan, et al.. (2022). Risk tradeoffs between nitrogen dioxide and ozone pollution during the COVID-19 lockdowns in the Greater Bay area of China. Atmospheric Pollution Research. 13(10). 101549–101549. 3 indexed citations
14.
Wang, Lili, Runyu Wang, Nan Chen, et al.. (2022). Exploring formation mechanism and source attribution of ozone during the 2019 Wuhan Military World Games: Implications for ozone control strategies. Journal of Environmental Sciences. 136. 400–411. 7 indexed citations
15.
Lin, Changqing, Peter K.K. Louie, Alexis K.H. Lau, et al.. (2022). Net effect of air pollution controls on health risk in the Beijing–Tianjin–Hebei region during the 2022 winter Olympics and Paralympics. Journal of Environmental Sciences. 135. 560–569. 8 indexed citations
16.
Lin, Changqing, Alexis K.H. Lau, Jimmy Chi Hung Fung, et al.. (2021). Removing the effects of meteorological factors on changes in nitrogen dioxide and ozone concentrations in China from 2013 to 2020. The Science of The Total Environment. 793. 148575–148575. 62 indexed citations
17.
Xu, Jing, Min Xu, Yanxin Zhao, et al.. (2021). Spatial-temporal distribution and evolutionary characteristics of water environment sudden pollution incidents in China from 2006 to 2018. The Science of The Total Environment. 801. 149677–149677. 36 indexed citations
18.
Tao, Minghui, Nan Chen, Fengfei Ma, et al.. (2021). Contrasting effects of emission control on air pollution in Central China during the 2019 Military World Games based on satellite and ground observations. Atmospheric Research. 259. 105657–105657. 6 indexed citations
19.
Wang, Qinglu, Lili Wang, Minghui Tao, et al.. (2021). Exploring the variation of black and brown carbon during COVID-19 lockdown in megacity Wuhan and its surrounding cities, China. The Science of The Total Environment. 791. 148226–148226. 15 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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