Ming Wei
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Global and Planetary Change top 5%
- Climate variability and models
- Atmospheric aerosols and clouds
Papers in
-
- Meteorological Phenomena and Simulations 44
- Precipitation Measurement and Analysis 35
- Remote Sensing and Land Use 9
- Tropical and Extratropical Cyclones Research 8
-
- Atmospheric aerosols and clouds 19
- Climate variability and models 15
- Co-authors
- Guoqiang Tang (5 shared papers)Xinyu Lu (5 shared papers)Ying Liu (6 shared papers)Shuxi Gong (5 shared papers)Hu Liu (5 shared papers)Hao Wang (4 shared papers)Yingxin Zhang (2 shared papers)Linjuan Huang (10 shared papers)
In The Last Decade
Ming Wei
118 papers receiving 967 citations
Peers
Comparison fields: 5 of 122
- Atmospheric Science 411
- Global and Planetary Change 288
- Aerospace Engineering 220
- Environmental Engineering 116
- Oceanography 82
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming Wei'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 Ming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming Wei. 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 Ming Wei. The network helps show where Ming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2013 | 47 | |
| 3 | 2014 | 43 | |
| 4 | 2023 | 43 | |
| 5 | 2020 | 41 | |
| 6 | 2018 | 37 | |
| 7 | 2019 | 33 | |
| 8 | 2020 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2018 | 30 | |
| 11 | 2019 | 30 | |
| 12 | 2014 | 29 | |
| 13 | 2021 | 29 | |
| 14 | 2015 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2015 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2018 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 14 |
About Ming Wei
Ming Wei is a scholar working on Atmospheric Science, Global and Planetary Change, Aerospace Engineering, Electrical and Electronic Engineering and Oceanography, having authored 125 papers that have together received 992 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (44 papers), Precipitation Measurement and Analysis (35 papers), Atmospheric aerosols and clouds (19 papers), Climate variability and models (15 papers), Glycosylation and Glycoproteins Research (10 papers), Remote Sensing and Land Use (9 papers), Carbohydrate Chemistry and Synthesis (8 papers) and Tropical and Extratropical Cyclones Research (8 papers). The work is most often cited by research in Atmospheric Science (411 citations), Global and Planetary Change (288 citations), Aerospace Engineering (220 citations), Environmental Engineering (116 citations) and Oceanography (82 citations). Ming Wei has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Guoqiang Tang, Xinyu Lu, Ying Liu, Shuxi Gong, Hu Liu, Hao Wang, Yingxin Zhang, Linjuan Huang, Zhongfu Wang and Chengjian Wang. Their work appears in journals such as Atmosphere, Journal of Meteorological Research, Remote Sensing, Laser Physics and Atmospheric Research.
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.