Can Tong
Impact in
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- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
- Control Systems and Identification
- Control and Stability of Dynamical Systems
- Stability and Controllability of Differential Equations
- Adaptive Control of Nonlinear Systems
- Numerical Analysis top 10%
Papers in
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- Face and Expression Recognition 5
- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 2
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- Stability and Control of Uncertain Systems 3
- Co-authors
- Robert K. Brayton (2 shared papers)Tie Zhang (4 shared papers)Yueyang Teng (5 shared papers)Shouliang Qi (4 shared papers)Jiao Wei (2 shared papers)Yudong Yao (4 shared papers)Qiang He (1 shared paper)Qian Dang (1 shared paper)
- Journals
- Journal of Computational and Applied Mathematics (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Inverse Problems (1 paper)Journal of Nuclear Materials (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Can Tong
15 papers receiving 368 citations
Peers
Comparison fields: 5 of 55
- Control and Systems Engineering 265
- Numerical Analysis 41
- Computational Theory and Mathematics 67
- Computational Mathematics 2
- Statistical and Nonlinear Physics 34
Countries citing papers authored by Can Tong
This map shows the geographic impact of Can Tong'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 Can Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Tong more than expected).
Fields of papers citing papers by Can Tong
This network shows the impact of papers produced by Can Tong. 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 Can Tong. The network helps show where Can Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Tong, 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 | 1979 | 171 | |
| 2 | 1980 | 160 | |
| 3 | 2022 | 16 | |
| 4 | 2008 | 10 | |
| 5 | 2014 | 8 | |
| 6 | 2023 | 8 | |
| 7 | 2018 | 6 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2015 | 3 | |
| 12 | 1984 | 3 | |
| 13 | 2012 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2009 | 0 |
About Can Tong
Can Tong is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Media Technology, Geometry and Topology and Statistical and Nonlinear Physics, having authored 17 papers that have together received 398 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Image Retrieval and Classification Techniques (3 papers), Stability and Control of Uncertain Systems (3 papers), Quantum chaos and dynamical systems (2 papers), Remote-Sensing Image Classification (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Differential Equations and Dynamical Systems (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Control and Systems Engineering (265 citations), Numerical Analysis (41 citations), Computational Theory and Mathematics (67 citations), Computational Mathematics (2 citations) and Statistical and Nonlinear Physics (34 citations). Can Tong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Robert K. Brayton, Tie Zhang, Yueyang Teng, Shouliang Qi, Jiao Wei, Yudong Yao, Qiang He, Qian Dang, Chihang Zhao and Jie Lian. Their work appears in journals such as Journal of Computational and Applied Mathematics, International Journal of Machine Learning and Cybernetics, Inverse Problems, Journal of Nuclear Materials and IEEE Transactions on Neural Networks and Learning Systems.
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.