Ya‐Jun Pan
Impact in
- Control and Systems Engineering top 0.5%
- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Computer Networks and Communications top 0.5%
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
Papers in
-
- Adaptive Control of Nonlinear Systems 36
- Stability and Control of Uncertain Systems 33
-
- Distributed Control Multi-Agent Systems 48
- Neural Networks Stability and Synchronization 30
In The Last Decade
Ya‐Jun Pan
162 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Control and Systems Engineering 2.1k
- Computer Networks and Communications 1.5k
- Mechanical Engineering 757
- Plant Science 742
- Ocean Engineering 245
Countries citing papers authored by Ya‐Jun Pan
This map shows the geographic impact of Ya‐Jun Pan'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 Ya‐Jun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Jun Pan more than expected).
Fields of papers citing papers by Ya‐Jun Pan
This network shows the impact of papers produced by Ya‐Jun Pan. 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 Ya‐Jun Pan. The network helps show where Ya‐Jun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Jun Pan, 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 | 2025 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 10 | |
| 14 | 2020 | 134 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 48 | |
| 17 | 2018 | 212 | |
| 18 | 2017 | 206 | |
| 19 | 2015 | 124 | |
| 20 | 2007 | 3 |
About Ya‐Jun Pan
Ya‐Jun Pan is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Ocean Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 168 papers that have together received 4.0k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (48 papers), Teleoperation and Haptic Systems (46 papers), Adaptive Control of Nonlinear Systems (36 papers), Stability and Control of Uncertain Systems (33 papers), Neural Networks Stability and Synchronization (30 papers), Soft Robotics and Applications (18 papers), Geophysics and Sensor Technology (16 papers) and Robotic Path Planning Algorithms (14 papers). The work is most often cited by research in Control and Systems Engineering (2.1k citations), Computer Networks and Communications (1.5k citations), Mechanical Engineering (757 citations), Plant Science (742 citations) and Ocean Engineering (245 citations). Ya‐Jun Pan has collaborated with scholars based in Canada, China and Singapore. Frequent co-authors include Yong Xu, Zheng‐Guang Wu, Zheng‐Guang Wu, Jason Gu, Zheng Chen, Mei Fang, Hongye Su, Yong Xu, Sheng Luan and Legong Li. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Industrial Electronics, International Journal of Robust and Nonlinear Control and IEEE Transactions on Cybernetics.
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.