Fei Chen
Impact in
-
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
-
- Manufacturing Process and Optimization
Papers in
-
- Robot Manipulation and Learning 44
- Robotic Mechanisms and Dynamics 11
-
- Soft Robotics and Applications 16
- Prosthetics and Rehabilitation Robotics 13
- Muscle activation and electromyography studies 12
- Co-authors
- Toshio Fukuda (19 shared papers)Darwin G. Caldwell (25 shared papers)Ferdinando Cannella (13 shared papers)Kosuke Sekiyama (7 shared papers)Mario Selvaggio (6 shared papers)Jian Huang (14 shared papers)Zhijun Li (3 shared papers)Chun‐Yi Su (2 shared papers)
In The Last Decade
Fei Chen
139 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Control and Systems Engineering 755
- Industrial and Manufacturing Engineering 247
- Human-Computer Interaction 82
- Computer Vision and Pattern Recognition 284
- Rehabilitation 95
Countries citing papers authored by Fei Chen
This map shows the geographic impact of Fei Chen'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 Fei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Chen more than expected).
Fields of papers citing papers by Fei Chen
This network shows the impact of papers produced by Fei Chen. 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 Fei Chen. The network helps show where Fei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Chen, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2013 | 126 | |
| 3 | 2018 | 98 | |
| 4 | 2009 | 62 | |
| 5 | 2020 | 51 | |
| 6 | 2011 | 43 | |
| 7 | 2018 | 42 | |
| 8 | 2022 | 41 | |
| 9 | 2022 | 41 | |
| 10 | 2014 | 35 | |
| 11 | 2010 | 33 | |
| 12 | 2015 | 33 | |
| 13 | 2016 | 30 | |
| 14 | 2012 | 29 | |
| 15 | 2022 | 27 | |
| 16 | 2019 | 27 | |
| 17 | 2011 | 25 | |
| 18 | 2023 | 24 | |
| 19 | 2010 | 23 | |
| 20 | 2016 | 21 |
About Fei Chen
Fei Chen is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 151 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (44 papers), Soft Robotics and Applications (16 papers), Prosthetics and Rehabilitation Robotics (13 papers), Solid State Laser Technologies (12 papers), Muscle activation and electromyography studies (12 papers), Robotic Mechanisms and Dynamics (11 papers), Teleoperation and Haptic Systems (11 papers) and Manufacturing Process and Optimization (11 papers). The work is most often cited by research in Control and Systems Engineering (755 citations), Industrial and Manufacturing Engineering (247 citations), Human-Computer Interaction (82 citations), Computer Vision and Pattern Recognition (284 citations) and Rehabilitation (95 citations). Fei Chen has collaborated with scholars based in China, Italy and Hong Kong. Frequent co-authors include Toshio Fukuda, Darwin G. Caldwell, Ferdinando Cannella, Kosuke Sekiyama, Mario Selvaggio, Jian Huang, Zhijun Li, Chun‐Yi Su, Renpeng Yan and Xin Yu. Their work appears in journals such as Optics Communications, IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, Applied Sciences 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.