Chune Wang
Impact in
- Control and Systems Engineering top 10%
- Magnetic Bearings and Levitation Dynamics
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- Inertial Sensor and Navigation
Papers in ⓘ
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- Magnetic and Electromagnetic Effects 3
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- Magnetic Bearings and Levitation Dynamics 11
- Co-authors
- Jiancheng Fang (3 shared papers)Wen Tong (1 shared paper)Jinji Sun (5 shared papers)Jiqiang Tang (5 shared papers)Yun Le (3 shared papers)Lei Zhou (4 shared papers)Biao Xiang (2 shared papers)Yuanjin Yu (1 shared paper)
In The Last Decade
Chune Wang
27 papers receiving 331 citations
Peers
Comparison fields: 5 of 75
- Control and Systems Engineering 141
- Aerospace Engineering 61
- Polymers and Plastics 34
- Mechanical Engineering 83
- Biomaterials 26
Countries citing papers authored by Chune Wang
This map shows the geographic impact of Chune 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 Chune Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chune Wang more than expected).
Fields of papers citing papers by Chune Wang
This network shows the impact of papers produced by Chune 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 Chune Wang. The network helps show where Chune Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chune 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 53 | |
| 2 | 2019 | 49 | |
| 3 | 2024 | 30 | |
| 4 | 2014 | 22 | |
| 5 | 2018 | 22 | |
| 6 | 2021 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2013 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2011 | 7 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2023 | 3 |
About Chune Wang
Chune Wang is a scholar working on Physiology, Control and Systems Engineering, Cellular and Molecular Neuroscience, Mechanical Engineering and Polymers and Plastics, having authored 27 papers that have together received 334 indexed citations. Recurring topics across this work include Magnetic Bearings and Levitation Dynamics (11 papers), Neuroscience and Neural Engineering (4 papers), Tribology and Lubrication Engineering (4 papers), Advanced Memory and Neural Computing (4 papers), Magnetic and Electromagnetic Effects (3 papers), Advanced Materials and Mechanics (2 papers), Advanced Polymer Synthesis and Characterization (2 papers) and Photopolymerization techniques and applications (1 paper). The work is most often cited by research in Control and Systems Engineering (141 citations), Aerospace Engineering (61 citations), Polymers and Plastics (34 citations), Mechanical Engineering (83 citations) and Biomaterials (26 citations). Chune Wang has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Jiancheng Fang, Wen Tong, Jinji Sun, Jiqiang Tang, Yun Le, Lei Zhou, Biao Xiang, Yuanjin Yu, Changlin Zhou and Shen Luo. Their work appears in journals such as International Journal of Circuit Theory and Applications, Measurement, Chinese Journal of Mechanical Engineering, Journal of Applied Polymer Science and IEEE Transactions on Magnetics.
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.