Run Wang
Impact in
- Global and Planetary Change top 5%
- Climate variability and models
- Environmental Engineering top 5%
- Environmental Impact and Sustainability
Papers in
-
- Climate variability and models 22
- Environmental Changes in China 8
-
- Meteorological Phenomena and Simulations 11
- Tropical and Extratropical Cyclones Research 9
- Co-authors
- Lishan Xiao (6 shared papers)Hong‐Li Ren (17 shared papers)Yanwei Sun (5 shared papers)Dewei Yang (4 shared papers)Shouzeng Zhou (7 shared papers)Hong Liu (7 shared papers)Yu Zhou (7 shared papers)Jian Liu (1 shared paper)
- Journals
- Geophysical Research Letters (4 papers)Energy Policy (4 papers)Climate Dynamics (3 papers)Journal of Applied Physics (3 papers)Frontiers in Earth Science (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Run Wang
77 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Global and Planetary Change 434
- Environmental Engineering 234
- Water Science and Technology 197
- Atmospheric Science 232
- Pollution 121
Countries citing papers authored by Run Wang
This map shows the geographic impact of Run Wang'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 Run Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Wang more than expected).
Fields of papers citing papers by Run Wang
This network shows the impact of papers produced by Run Wang. 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 Run Wang. The network helps show where Run Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Run Wang, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 139 | |
| 2 | 2011 | 132 | |
| 3 | 2017 | 124 | |
| 4 | 2021 | 88 | |
| 5 | 2019 | 81 | |
| 6 | 2014 | 65 | |
| 7 | 2009 | 52 | |
| 8 | 2020 | 48 | |
| 9 | 1999 | 46 | |
| 10 | 2021 | 45 | |
| 11 | 2021 | 39 | |
| 12 | 2016 | 36 | |
| 13 | 2017 | 36 | |
| 14 | 2010 | 32 | |
| 15 | 2013 | 32 | |
| 16 | 2012 | 31 | |
| 17 | 2013 | 30 | |
| 18 | 2019 | 28 | |
| 19 | 2023 | 27 | |
| 20 | 1988 | 25 |
About Run Wang
Run Wang is a scholar working on Global and Planetary Change, Atmospheric Science, Oceanography, Water Science and Technology and Environmental Engineering, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Climate variability and models (22 papers), Oceanographic and Atmospheric Processes (14 papers), Meteorological Phenomena and Simulations (11 papers), Tropical and Extratropical Cyclones Research (9 papers), Magnetic Properties of Alloys (8 papers), Environmental Changes in China (8 papers), Catalytic C–H Functionalization Methods (7 papers) and Environmental and Agricultural Sciences (6 papers). The work is most often cited by research in Global and Planetary Change (434 citations), Environmental Engineering (234 citations), Water Science and Technology (197 citations), Atmospheric Science (232 citations) and Pollution (121 citations). Run Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lishan Xiao, Hong‐Li Ren, Yanwei Sun, Dewei Yang, Shouzeng Zhou, Hong Liu, Yu Zhou, Jian Liu, Wenjuan Liu and Jian Liu. Their work appears in journals such as Geophysical Research Letters, Energy Policy, Climate Dynamics, Journal of Applied Physics and Frontiers in Earth Science.
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.