Wang Qing
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Antioxidant Activity and Oxidative Stress
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- Wind Energy Research and Development
Papers in
-
- Computational Fluid Dynamics and Aerodynamics 3
- Fluid Dynamics and Turbulent Flows 3
- Fluid Dynamics and Vibration Analysis 3
- Granular flow and fluidized beds 2
-
- Wind Energy Research and Development 8
- Aerodynamics and Fluid Dynamics Research 8
- Co-authors
- Jing Ma (1 shared paper)Min Xia (1 shared paper)Hui-lian Zhu (1 shared paper)Mengjun Hou (1 shared paper)Xiaodong Xia (1 shared paper)Zhihong Tang (1 shared paper)Wenhua Ling (1 shared paper)Qijun Zhao (3 shared papers)
- Journals
- Applied Sciences (3 papers)Wind Engineering (2 papers)Energies (2 papers)Remote Sensing (2 papers)Renewable Energy (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wang Qing
33 papers receiving 374 citations
Peers
Comparison fields: 5 of 86
- Biochemistry 100
- Aerospace Engineering 67
- Nutrition and Dietetics 39
- Computational Mechanics 52
- Endocrinology, Diabetes and Metabolism 37
Countries citing papers authored by Wang Qing
This map shows the geographic impact of Wang Qing'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 Wang Qing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Qing more than expected).
Fields of papers citing papers by Wang Qing
This network shows the impact of papers produced by Wang Qing. 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 Wang Qing. The network helps show where Wang Qing may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Qing, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 208 | |
| 2 | 2015 | 27 | |
| 3 | 2019 | 21 | |
| 4 | 2024 | 15 | |
| 5 | 2021 | 12 | |
| 6 | 2018 | 12 | |
| 7 | 2019 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2013 | 6 | |
| 13 | 2012 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2018 | 2 |
About Wang Qing
Wang Qing is a scholar working on Computational Mechanics, Aerospace Engineering, Environmental Engineering, Global and Planetary Change and Control and Systems Engineering, having authored 36 papers that have together received 385 indexed citations. Recurring topics across this work include Wind Energy Research and Development (8 papers), Aerodynamics and Fluid Dynamics Research (8 papers), Atmospheric aerosols and clouds (4 papers), Wind and Air Flow Studies (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Fluid Dynamics and Vibration Analysis (3 papers) and Granular flow and fluidized beds (2 papers). The work is most often cited by research in Biochemistry (100 citations), Aerospace Engineering (67 citations), Nutrition and Dietetics (39 citations), Computational Mechanics (52 citations) and Endocrinology, Diabetes and Metabolism (37 citations). Wang Qing has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jing Ma, Min Xia, Hui-lian Zhu, Mengjun Hou, Xiaodong Xia, Zhihong Tang, Wenhua Ling, Qijun Zhao, Hongpeng Liu and Deshun Li. Their work appears in journals such as Applied Sciences, Wind Engineering, Energies, Remote Sensing and Renewable Energy.
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.