Wang Qing
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Antioxidant Activity and Oxidative Stress
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- Food composition and properties
Papers in ⓘ
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- Fluid Dynamics and Turbulent Flows 3
- Computational Fluid Dynamics and Aerodynamics 3
- Fluid Dynamics and Vibration Analysis 3
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- Aerodynamics and Fluid Dynamics Research 8
- Wind Energy Research and Development 8
- Co-authors
- Zhihong Tang (1 shared paper)Xiaodong Xia (1 shared paper)Mengjun Hou (1 shared paper)Jing Ma (1 shared paper)Min Xia (1 shared paper)Wenhua Ling (1 shared paper)Huilian Zhu (1 shared paper)Qijun Zhao (3 shared papers)
- Journals
- Applied Sciences (3 papers)Energies (2 papers)Renewable Energy (2 papers)Remote Sensing (2 papers)Wind Engineering (2 papers)
- Partner nations
- ChinaUnited StatesGreece
In The Last Decade
Wang Qing
29 papers receiving 336 citations
Peers
Comparison fields: 5 of 91
- Biochemistry 94
- Nutrition and Dietetics 38
- Aerospace Engineering 60
- Computational Mechanics 48
- Endocrinology, Diabetes and Metabolism 38
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 183 | |
| 2 | 2015 | 27 | |
| 3 | 2019 | 20 | |
| 4 | 2018 | 13 | |
| 5 | 2024 | 12 | |
| 6 | 2019 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2013 | 6 | |
| 12 | 2003 | 5 | |
| 13 | 2012 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2014 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2017 | 2 |
About Wang Qing
Wang Qing is a scholar working on Computational Mechanics, Aerospace Engineering, Transplantation, Energy Engineering and Power Technology and Global and Planetary Change, having authored 34 papers that have together received 342 indexed citations. Recurring topics across this work include Aerodynamics and Fluid Dynamics Research (8 papers), Wind Energy Research and Development (8 papers), Atmospheric aerosols and clouds (4 papers), Fluid Dynamics and Turbulent Flows (3 papers), Wind and Air Flow Studies (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Fluid Dynamics and Vibration Analysis (3 papers) and Electric Motor Design and Analysis (2 papers). The work is most often cited by research in Biochemistry (94 citations), Nutrition and Dietetics (38 citations), Aerospace Engineering (60 citations), Computational Mechanics (48 citations) and Endocrinology, Diabetes and Metabolism (38 citations). Wang Qing has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Zhihong Tang, Xiaodong Xia, Mengjun Hou, Jing Ma, Min Xia, Wenhua Ling, Huilian Zhu, Qijun Zhao, Hongpeng Liu and Xiaoli Ma. Their work appears in journals such as Applied Sciences, Energies, Renewable Energy, Remote Sensing and Wind Engineering.
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.