Xiaoping Chen
Impact in
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- AI-based Problem Solving and Planning
- Speech and dialogue systems
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- Stability and Control of Uncertain Systems
Papers in
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- Reinforcement Learning in Robotics 31
- AI-based Problem Solving and Planning 30
- Speech and dialogue systems 14
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- Robot Manipulation and Learning 17
- Robotics and Automated Systems 13
- Co-authors
- Feng Wu (26 shared papers)He Huang (12 shared papers)Tingwen Huang (9 shared papers)Shlomo Zilberstein B (8 shared papers)Jianmin Ji (24 shared papers)Chengdai Huang (3 shared papers)Zhanchi Wang (7 shared papers)Jinde Cao (2 shared papers)
- Journals
- Neural Networks (7 papers)IEEE Robotics and Automation Letters (3 papers)Sensors (3 papers)Lecture notes in computer science (25 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Xiaoping Chen
215 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 778
- Control and Systems Engineering 472
- Computer Networks and Communications 413
- Biomedical Engineering 582
- Computer Vision and Pattern Recognition 319
Countries citing papers authored by Xiaoping Chen
This map shows the geographic impact of Xiaoping 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 Xiaoping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Chen more than expected).
Fields of papers citing papers by Xiaoping Chen
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Chen. The network helps show where Xiaoping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping 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 236 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2021 | 109 | |
| 3 | 2021 | 105 | |
| 4 | 2010 | 85 | |
| 5 | 2014 | 85 | |
| 6 | 2020 | 76 | |
| 7 | 2008 | 67 | |
| 8 | 2010 | 65 | |
| 9 | 2009 | 64 | |
| 10 | 2013 | 61 | |
| 11 | 2006 | 56 | |
| 12 | 2013 | 55 | |
| 13 | 2017 | 55 | |
| 14 | 2013 | 54 | |
| 15 | 2016 | 48 | |
| 16 | 2017 | 46 | |
| 17 | 2017 | 39 | |
| 18 | 2021 | 39 | |
| 19 | 2011 | 38 | |
| 20 | 2017 | 38 |
About Xiaoping Chen
Xiaoping Chen is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications, having authored 236 papers that have together received 3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (31 papers), AI-based Problem Solving and Planning (30 papers), Robot Manipulation and Learning (17 papers), Soft Robotics and Applications (15 papers), Robotics and Sensor-Based Localization (14 papers), Speech and dialogue systems (14 papers), Robotics and Automated Systems (13 papers) and Neural Networks Stability and Synchronization (10 papers). The work is most often cited by research in Artificial Intelligence (778 citations), Control and Systems Engineering (472 citations), Computer Networks and Communications (413 citations), Biomedical Engineering (582 citations) and Computer Vision and Pattern Recognition (319 citations). Xiaoping Chen has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Feng Wu, He Huang, Tingwen Huang, Shlomo Zilberstein B, Jianmin Ji, Chengdai Huang, Zhanchi Wang, Jinde Cao, Xiaotong Chen and Hao Jiang. Their work appears in journals such as Neural Networks, IEEE Robotics and Automation Letters, Sensors, Lecture notes in computer science and IEEE Access.
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.