Wang Hui
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Fuel Cells and Related Materials 4
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- Refrigeration and Air Conditioning Technologies 3
- Co-authors
- Junqiang Bai (9 shared papers)Xinyu Hui (2 shared papers)Yang Zhang (1 shared paper)Zunaira Asif (1 shared paper)Yinyin Zhu (1 shared paper)Dongzhi Chen (1 shared paper)Meihong Zhang (1 shared paper)Peimiao Li (4 shared papers)
- Journals
- Aerospace Science and Technology (3 papers)Applied Energy (3 papers)Energy Conversion and Management (2 papers)Applied Thermal Engineering (2 papers)AIP Advances (2 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Wang Hui
43 papers receiving 559 citations
Peers
Comparison fields: 5 of 96
- Statistical and Nonlinear Physics 117
- Computational Mechanics 137
- Aerospace Engineering 152
- Automotive Engineering 47
- Statistics, Probability and Uncertainty 21
Countries citing papers authored by Wang Hui
This map shows the geographic impact of Wang Hui'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 Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Hui more than expected).
Fields of papers citing papers by Wang Hui
This network shows the impact of papers produced by Wang Hui. 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 Hui. The network helps show where Wang Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Hui, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 148 | |
| 2 | 2021 | 53 | |
| 3 | 2022 | 43 | |
| 4 | 2021 | 40 | |
| 5 | 2006 | 30 | |
| 6 | 2015 | 25 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2025 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2024 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2025 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 6 |
About Wang Hui
Wang Hui is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Automotive Engineering, Global and Planetary Change and Computational Mechanics, having authored 44 papers that have together received 566 indexed citations. Recurring topics across this work include Advanced Aircraft Design and Technologies (6 papers), Advanced Battery Technologies Research (5 papers), Fuel Cells and Related Materials (4 papers), Refrigeration and Air Conditioning Technologies (3 papers), Aerodynamics and Acoustics in Jet Flows (3 papers), Electric and Hybrid Vehicle Technologies (3 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Zeolite Catalysis and Synthesis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (117 citations), Computational Mechanics (137 citations), Aerospace Engineering (152 citations), Automotive Engineering (47 citations) and Statistics, Probability and Uncertainty (21 citations). Wang Hui has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Junqiang Bai, Xinyu Hui, Yang Zhang, Zunaira Asif, Yinyin Zhu, Dongzhi Chen, Meihong Zhang, Peimiao Li, Yunfeng Li and Shifeng Wang. Their work appears in journals such as Aerospace Science and Technology, Applied Energy, Energy Conversion and Management, Applied Thermal Engineering and AIP Advances.
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.