Keping Liu
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
-
- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Robot Manipulation and Learning
Papers in
-
- Adaptive Control of Nonlinear Systems 19
- Robot Manipulation and Learning 12
- Robotic Mechanisms and Dynamics 9
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- Muscle activation and electromyography studies 20
- Prosthetics and Rehabilitation Robotics 14
- Co-authors
- Zhongbo Sun (41 shared papers)Bo Dong (16 shared papers)Long Jin (14 shared papers)Yuanchun Li (20 shared papers)Yuanchun Li (5 shared papers)Lin Wei (3 shared papers)Tianjiao An (5 shared papers)Chunxu Li (8 shared papers)
- Journals
- Neural Computing and Applications (5 papers)Engineering Applications of Artificial Intelligence (4 papers)Neurocomputing (4 papers)IEEE Access (3 papers)Biomedical Signal Processing and Control (3 papers)
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Keping Liu
105 papers receiving 850 citations
Peers
Comparison fields: 5 of 83
- Rehabilitation 110
- Control and Systems Engineering 401
- Computational Theory and Mathematics 144
- Architecture 12
- Biomedical Engineering 291
Countries citing papers authored by Keping Liu
This map shows the geographic impact of Keping Liu'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 Keping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keping Liu more than expected).
Fields of papers citing papers by Keping Liu
This network shows the impact of papers produced by Keping Liu. 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 Keping Liu. The network helps show where Keping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Keping Liu, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2021 | 43 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 32 | |
| 5 | 2019 | 29 | |
| 6 | 2021 | 24 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 24 | |
| 9 | 2021 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2017 | 22 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 19 | |
| 14 | 2018 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2014 | 14 |
About Keping Liu
Keping Liu is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Rehabilitation, having authored 118 papers that have together received 861 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (20 papers), Adaptive Control of Nonlinear Systems (19 papers), Stroke Rehabilitation and Recovery (14 papers), Prosthetics and Rehabilitation Robotics (14 papers), Robot Manipulation and Learning (12 papers), Modular Robots and Swarm Intelligence (9 papers), Adaptive Dynamic Programming Control (9 papers) and Robotic Mechanisms and Dynamics (9 papers). The work is most often cited by research in Rehabilitation (110 citations), Control and Systems Engineering (401 citations), Computational Theory and Mathematics (144 citations), Architecture (12 citations) and Biomedical Engineering (291 citations). Keping Liu has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Zhongbo Sun, Bo Dong, Long Jin, Yuanchun Li, Yuanchun Li, Lin Wei, Tianjiao An, Chunxu Li, Yuanchun Li and Yufeng Lian. Their work appears in journals such as Neural Computing and Applications, Engineering Applications of Artificial Intelligence, Neurocomputing, IEEE Access and Biomedical Signal Processing and Control.
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.