Xiaoping Chen
Impact in
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- Robot Manipulation and Learning
- Stability and Control of Uncertain Systems
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Neural Networks and Applications
Papers in
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- Reinforcement Learning in Robotics 25
- AI-based Problem Solving and Planning 23
- Logic, Reasoning, and Knowledge 21
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- Robot Manipulation and Learning 26
- Co-authors
- Feng Wu (26 shared papers)He Huang (12 shared papers)Tingwen Huang (9 shared papers)Shlomo Zilberstein (8 shared papers)Jianmin Ji (23 shared papers)Hao Jiang (8 shared papers)Chengdai Huang (3 shared papers)Zhanchi Wang (7 shared papers)
- Journals
- Neural Networks (7 papers)Management and Organization Review (5 papers)IEEE Robotics and Automation Letters (3 papers)Sensors (3 papers)Lecture notes in computer science (25 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoping Chen
242 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 172
- Control and Systems Engineering 699
- Artificial Intelligence 903
- Computer Vision and Pattern Recognition 555
- Computer Networks and Communications 567
- Organizational Behavior and Human Resource Management 173
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 261 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 122 | |
| 2 | 2021 | 107 | |
| 3 | 2021 | 96 | |
| 4 | 2014 | 86 | |
| 5 | 2010 | 81 | |
| 6 | 2008 | 81 | |
| 7 | 2020 | 74 | |
| 8 | 2011 | 72 | |
| 9 | 2012 | 70 | |
| 10 | 2008 | 66 | |
| 11 | 2009 | 63 | |
| 12 | 2010 | 63 | |
| 13 | 2013 | 60 | |
| 14 | 2006 | 57 | |
| 15 | 2017 | 54 | |
| 16 | 2013 | 54 | |
| 17 | 2013 | 54 | |
| 18 | 2016 | 49 | |
| 19 | 2017 | 45 | |
| 20 | 2017 | 39 |
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 261 papers that have together received 3.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (26 papers), Reinforcement Learning in Robotics (25 papers), AI-based Problem Solving and Planning (23 papers), Robotic Path Planning Algorithms (22 papers), Logic, Reasoning, and Knowledge (21 papers), Robotics and Sensor-Based Localization (20 papers), Soft Robotics and Applications (20 papers) and Modular Robots and Swarm Intelligence (15 papers). The work is most often cited by research in Control and Systems Engineering (699 citations), Artificial Intelligence (903 citations), Computer Vision and Pattern Recognition (555 citations), Computer Networks and Communications (567 citations) and Organizational Behavior and Human Resource Management (173 citations). Xiaoping Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Feng Wu, He Huang, Tingwen Huang, Shlomo Zilberstein, Jianmin Ji, Hao Jiang, Chengdai Huang, Zhanchi Wang, Jinde Cao and Juan Wang. Their work appears in journals such as Neural Networks, Management and Organization Review, IEEE Robotics and Automation Letters, Sensors and Lecture notes in computer science.
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.