Mingfeng Wang
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
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- Mechanical and Optical Resonators
- Quantum optics and atomic interactions
- Atomic and Subatomic Physics Research
Papers in
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- Hydraulic and Pneumatic Systems 5
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- Robotic Mechanisms and Dynamics 9
- Robot Manipulation and Learning 8
- Co-authors
- Dragoş Axinte (7 shared papers)Xin Dong (7 shared papers)Andy Norton (4 shared papers)Abdelkhalick Mohammad (3 shared papers)Wei Xiong (6 shared papers)Marco Ceccarelli (7 shared papers)Yanhong Xiao (3 shared papers)Weizhi Qu (2 shared papers)
- Journals
- IEEE/ASME Transactions on Mechatronics (4 papers)Physical review. A (4 papers)Surface Topography Metrology and Properties (3 papers)Physical Review A (3 papers)Optics Express (2 papers)
- Partner nations
- ChinaUnited KingdomItaly
In The Last Decade
Mingfeng Wang
58 papers receiving 831 citations
Peers
Comparison fields: 5 of 101
- Control and Systems Engineering 241
- Atomic and Molecular Physics, and Optics 269
- Biomedical Engineering 337
- Mechanical Engineering 245
- Artificial Intelligence 139
Countries citing papers authored by Mingfeng Wang
This map shows the geographic impact of Mingfeng 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 Mingfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingfeng Wang more than expected).
Fields of papers citing papers by Mingfeng Wang
This network shows the impact of papers produced by Mingfeng 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 Mingfeng Wang. The network helps show where Mingfeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingfeng 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2020 | 114 | |
| 3 | 2016 | 75 | |
| 4 | 2022 | 53 | |
| 5 | 2018 | 50 | |
| 6 | 2021 | 49 | |
| 7 | 2021 | 42 | |
| 8 | 2017 | 25 | |
| 9 | 2008 | 23 | |
| 10 | 2021 | 21 | |
| 11 | 2009 | 21 | |
| 12 | 2023 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2007 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2024 | 10 | |
| 20 | 2021 | 9 |
About Mingfeng Wang
Mingfeng Wang is a scholar working on Mechanical Engineering, Control and Systems Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Artificial Intelligence, having authored 63 papers that have together received 866 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Quantum optics and atomic interactions (9 papers), Robotic Mechanisms and Dynamics (9 papers), Robot Manipulation and Learning (8 papers), Soft Robotics and Applications (7 papers), Robotic Locomotion and Control (6 papers), Hydraulic and Pneumatic Systems (5 papers) and Prosthetics and Rehabilitation Robotics (5 papers). The work is most often cited by research in Control and Systems Engineering (241 citations), Atomic and Molecular Physics, and Optics (269 citations), Biomedical Engineering (337 citations), Mechanical Engineering (245 citations) and Artificial Intelligence (139 citations). Mingfeng Wang has collaborated with scholars based in China, United Kingdom and Italy. Frequent co-authors include Dragoş Axinte, Xin Dong, Andy Norton, Abdelkhalick Mohammad, Wei Xiong, Marco Ceccarelli, Yanhong Xiao, Weizhi Qu, Guo-Qiang Zhang and Kaifeng Zhao. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Physical review. A, Surface Topography Metrology and Properties, Physical Review A and Optics Express.
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.