Chongkun Xia
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 15
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- Robotic Path Planning Algorithms 6
- Advanced Neural Network Applications 3
- Co-authors
- Xueqian Wang (11 shared papers)Yunzhou Zhang (7 shared papers)Linqi Ye (4 shared papers)Bin Liang (6 shared papers)Houde Liu (10 shared papers)Shoujie Li (4 shared papers)Wenbo Ding (3 shared papers)I‐Ming Chen (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Robotics and Autonomous Systems (2 papers)IEEE Transactions on Multimedia (1 paper)Journal of Central South University (1 paper)Mechanism and Machine Theory (1 paper)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Chongkun Xia
27 papers receiving 248 citations
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 102
- Human-Computer Interaction 20
- Architecture 5
- Cognitive Neuroscience 49
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Chongkun Xia
This map shows the geographic impact of Chongkun Xia'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 Chongkun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chongkun Xia more than expected).
Fields of papers citing papers by Chongkun Xia
This network shows the impact of papers produced by Chongkun Xia. 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 Chongkun Xia. The network helps show where Chongkun Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Chongkun Xia, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 39 | |
| 2 | 2022 | 29 | |
| 3 | 2018 | 23 | |
| 4 | 2022 | 13 | |
| 5 | 2020 | 13 | |
| 6 | 2016 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2023 | 4 |
About Chongkun Xia
Chongkun Xia is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience and Aerospace Engineering, having authored 29 papers that have together received 253 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Soft Robotics and Applications (7 papers), Robotic Path Planning Algorithms (6 papers), Tactile and Sensory Interactions (5 papers), Robotics and Sensor-Based Localization (5 papers), Modular Robots and Swarm Intelligence (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (102 citations), Human-Computer Interaction (20 citations), Architecture (5 citations), Cognitive Neuroscience (49 citations) and Computer Vision and Pattern Recognition (53 citations). Chongkun Xia has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Xueqian Wang, Yunzhou Zhang, Linqi Ye, Bin Liang, Houde Liu, Shoujie Li, Wenbo Ding, I‐Ming Chen, Jiangtao Cao and Sonya Coleman. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, IEEE Transactions on Multimedia, Journal of Central South University and Mechanism and Machine Theory.
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.