Zhen Kan
Impact in
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- Adaptive Control of Nonlinear Systems
- Robot Manipulation and Learning
- Stability and Control of Uncertain Systems
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- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
Papers in
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- Distributed Control Multi-Agent Systems 37
- Neural Networks Stability and Synchronization 19
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- Robotic Path Planning Algorithms 26
- Co-authors
- Warren E. Dixon (34 shared papers)John M. Shea (17 shared papers)Zhijun Li (21 shared papers)Justin R. Klotz (10 shared papers)Hongbo Gao (7 shared papers)Ashwin P. Dani (8 shared papers)Teng-Hu Cheng (6 shared papers)Nicholas Fischer (4 shared papers)
- Journals
- IEEE Transactions on Automatic Control (9 papers)IEEE Robotics and Automation Letters (7 papers)IEEE Transactions on Cybernetics (6 papers)IEEE Control Systems Letters (4 papers)Automatica (4 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Zhen Kan
113 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 96
- Control and Systems Engineering 972
- Computer Networks and Communications 947
- Computer Vision and Pattern Recognition 492
- Automotive Engineering 199
- Aerospace Engineering 317
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-authors
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
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 204 | |
| 2 | 2011 | 116 | |
| 3 | 2022 | 108 | |
| 4 | 2021 | 93 | |
| 5 | 2013 | 84 | |
| 6 | 2020 | 83 | |
| 7 | 2021 | 80 | |
| 8 | 2020 | 80 | |
| 9 | 2022 | 79 | |
| 10 | 2021 | 71 | |
| 11 | 2014 | 71 | |
| 12 | 2019 | 65 | |
| 13 | 2016 | 56 | |
| 14 | 2011 | 51 | |
| 15 | 2018 | 46 | |
| 16 | 2020 | 41 | |
| 17 | 2017 | 41 | |
| 18 | 2017 | 38 | |
| 19 | 2015 | 34 | |
| 20 | 2014 | 34 |
About Zhen Kan
Zhen Kan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering, having authored 120 papers that have together received 2.4k 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), Modular Robots and Swarm Intelligence (13 papers), Reinforcement Learning in Robotics (13 papers), Robot Manipulation and Learning (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 Control and Systems Engineering (972 citations), Computer Networks and Communications (947 citations), Computer Vision and Pattern Recognition (492 citations), Automotive Engineering (199 citations) and Aerospace Engineering (317 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, Ashwin P. Dani, Teng-Hu Cheng, Nicholas Fischer, Hang Su and Shaochen Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Robotics and Automation Letters, IEEE Transactions on Cybernetics, IEEE Control Systems Letters and Automatica.
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.