Kun Xu
Impact in
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- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Biomedical Engineering top 10%
- Robotic Locomotion and Control
- Soft Robotics and Applications
- Prosthetics and Rehabilitation Robotics
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Robotic Locomotion and Control 27
- Soft Robotics and Applications 11
- Prosthetics and Rehabilitation Robotics 10
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- Control and Dynamics of Mobile Robots 10
- Robotic Mechanisms and Dynamics 10
- Co-authors
- Xilun Ding (50 shared papers)Jiawei Chen (12 shared papers)Yaobin Tian (9 shared papers)Yaobing Wang (2 shared papers)Shaoping Bai (2 shared papers)Huichao Deng (7 shared papers)Li Wen (2 shared papers)Youning Duo (1 shared paper)
In The Last Decade
Kun Xu
55 papers receiving 575 citations
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 213
- Biomedical Engineering 316
- Aerospace Engineering 122
- Mechanical Engineering 163
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Kun Xu
This map shows the geographic impact of Kun Xu'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 Kun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Xu more than expected).
Fields of papers citing papers by Kun Xu
This network shows the impact of papers produced by Kun Xu. 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 Kun Xu. The network helps show where Kun Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Xu, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 76 | |
| 2 | 2020 | 59 | |
| 3 | 2017 | 36 | |
| 4 | 2022 | 30 | |
| 5 | 2019 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2013 | 25 | |
| 8 | 2024 | 24 | |
| 9 | 2012 | 21 | |
| 10 | 2014 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2017 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2024 | 8 |
About Kun Xu
Kun Xu is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 64 papers that have together received 587 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (27 papers), Modular Robots and Swarm Intelligence (13 papers), Soft Robotics and Applications (11 papers), Control and Dynamics of Mobile Robots (10 papers), Robotic Mechanisms and Dynamics (10 papers), Prosthetics and Rehabilitation Robotics (10 papers), Robotic Path Planning Algorithms (9 papers) and Soil Mechanics and Vehicle Dynamics (6 papers). The work is most often cited by research in Control and Systems Engineering (213 citations), Biomedical Engineering (316 citations), Aerospace Engineering (122 citations), Mechanical Engineering (163 citations) and Computer Vision and Pattern Recognition (76 citations). Kun Xu has collaborated with scholars based in China, Hong Kong and Denmark. Frequent co-authors include Xilun Ding, Jiawei Chen, Yaobin Tian, Yaobing Wang, Shaoping Bai, Huichao Deng, Li Wen, Youning Duo, Bin Fang and Lei Li. Their work appears in journals such as Chinese Journal of Mechanical Engineering, Frontiers of Mechanical Engineering, Mechanism and Machine Theory, IEEE Robotics and Automation Letters and IEEE Transactions on Instrumentation and Measurement.
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.