Changgui Wang
Impact in
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
- Global and Planetary Change top 10%
- Climate variability and models
Papers in ⓘ
-
- Meteorological Phenomena and Simulations 6
- Tropical and Extratropical Cyclones Research 4
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- Ocean Waves and Remote Sensing 4
- Co-authors
- Richard Jones (2 shared papers)Karina Williams (1 shared paper)Ju Liang (2 shared papers)Kevin I. Hodges (2 shared papers)Camilla Mathison (1 shared paper)Carlo Buontempo (1 shared paper)C. McSweeney (1 shared paper)Robert Marshall (2 shared papers)
- Journals
- Quarterly Journal of the Royal Meteorological Society (3 papers)Journal of Applied Meteorology and Climatology (3 papers)Plant Molecular Biology (2 papers)Climate Dynamics (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Changgui Wang
11 papers receiving 312 citations
Peers
Comparison fields: 5 of 50
- Atmospheric Science 179
- Global and Planetary Change 173
- Oceanography 50
- Business and International Management 5
- Aerospace Engineering 49
Countries citing papers authored by Changgui Wang
This map shows the geographic impact of Changgui 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 Changgui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changgui Wang more than expected).
Fields of papers citing papers by Changgui Wang
This network shows the impact of papers produced by Changgui 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 Changgui Wang. The network helps show where Changgui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Changgui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 63 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 54 | |
| 4 | 2010 | 43 | |
| 5 | 2013 | 23 | |
| 6 | 2020 | 20 | |
| 7 | 2017 | 20 | |
| 8 | 2011 | 18 | |
| 9 | 2017 | 14 | |
| 10 | 2007 | 9 | |
| 11 | 2008 | 6 |
About Changgui Wang
Changgui Wang is a scholar working on Atmospheric Science, Oceanography, Global and Planetary Change, Earth-Surface Processes and Aerospace Engineering, having authored 11 papers that have together received 324 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (6 papers), Climate variability and models (5 papers), Ocean Waves and Remote Sensing (4 papers), Tropical and Extratropical Cyclones Research (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Radio Wave Propagation Studies (2 papers), Coastal and Marine Dynamics (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Atmospheric Science (179 citations), Global and Planetary Change (173 citations), Oceanography (50 citations), Business and International Management (5 citations) and Aerospace Engineering (49 citations). Changgui Wang has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Richard Jones, Karina Williams, Ju Liang, Kevin I. Hodges, Camilla Mathison, Carlo Buontempo, C. McSweeney, Robert Marshall, Peter Clark and Tracy Haack. Their work appears in journals such as Quarterly Journal of the Royal Meteorological Society, Journal of Applied Meteorology and Climatology, Plant Molecular Biology, Climate Dynamics and IEEE Geoscience and Remote Sensing Letters.
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.