Zhen Kan
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- Distributed Control Multi-Agent Systems 37
- Neural Networks Stability and Synchronization 19
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- Robot Manipulation and Learning 13
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- Robotic Path Planning Algorithms 26
- Automotive Engineering top 5%
- Human-Computer Interaction top 5%
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- Reinforcement Learning in Robotics 13
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- Modular Robots and Swarm Intelligence 13
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- Robotics and Sensor-Based Localization 12
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- Formal Methods in Verification 12
- Co-authors
- Warren E. DixonJohn M. SheaZhijun LiJustin R. KlotzHongbo GaoTeng-Hu ChengAshwin P. DaniHang Su
- Cited by
- Computer Networks and CommunicationsControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Automatic Control (9 papers)IEEE Robotics and Automation Letters (7 papers)IEEE Transactions on Cybernetics (6 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Zhen Kan
109 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 923
- Control and Systems Engineering 923
- Computer Vision and Pattern Recognition 470
- Automotive Engineering 188
- Human-Computer Interaction 68
Countries citing papers authored by Zhen Kan
This map shows the geographic impact of Zhen Kan'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 Zhen Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Kan more than expected).
Fields of papers citing papers by Zhen Kan
This network shows the impact of papers produced by Zhen Kan. 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 Zhen Kan. The network helps show where Zhen Kan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhen Kan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 32 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 68 | |
| 10 | 2022 | 104 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 33 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 36 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 14 | |
| 18 | 2018 | 22 | |
| 19 | 2018 | 30 | |
| 20 | 2017 | 7 |
About Zhen Kan
Zhen Kan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics and Human-Computer Interaction, having authored 120 papers that have together received 2.2k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (37 papers), Robotic Path Planning Algorithms (26 papers), Neural Networks Stability and Synchronization (19 papers), Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (13 papers), Modular Robots and Swarm Intelligence (13 papers), Robotics and Sensor-Based Localization (12 papers) and Formal Methods in Verification (12 papers). The work is most often cited by research in Computer Networks and Communications (923 citations), Control and Systems Engineering (923 citations), Computer Vision and Pattern Recognition (470 citations), Automotive Engineering (188 citations) and Human-Computer Interaction (68 citations). Zhen Kan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Warren E. Dixon, John M. Shea, Zhijun Li, Justin R. Klotz, Hongbo Gao, Teng-Hu Cheng, Ashwin P. Dani, Hang Su, Nicholas Fischer and Yueyue Liu. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Robotics and Automation Letters, IEEE Transactions on Cybernetics, Automatica and IEEE Control Systems Letters.
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.