Kaijun Wu
Impact in
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- Chaos control and synchronization
- stochastic dynamics and bifurcation
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- Advanced Neural Network Applications
- Chaos-based Image/Signal Encryption
Papers in
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- stochastic dynamics and bifurcation 12
- Chaos control and synchronization 8
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- Metaheuristic Optimization Algorithms Research 5
- Cryptography and Data Security 4
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Yang Wang (1 shared paper)Qinghua Hu (4 shared papers)Yue Zhao (3 shared papers)Chao Yu (1 shared paper)Yao Wu Hao (6 shared papers)Chunli Wang (1 shared paper)Ming Chen (1 shared paper)J. A. Tenreiro Machado (1 shared paper)
- Journals
- Applied Sciences (4 papers)Computational Intelligence and Neuroscience (3 papers)Scientific Reports (2 papers)IEEE Access (2 papers)Machine Vision and Applications (2 papers)
- Partner nations
- ChinaUnited KingdomPortugal
In The Last Decade
Kaijun Wu
62 papers receiving 404 citations
Peers
Comparison fields: 5 of 53
- Statistical and Nonlinear Physics 126
- Computer Vision and Pattern Recognition 82
- Computer Networks and Communications 70
- Artificial Intelligence 75
- Modeling and Simulation 10
Countries citing papers authored by Kaijun Wu
This map shows the geographic impact of Kaijun Wu'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 Kaijun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijun Wu more than expected).
Fields of papers citing papers by Kaijun Wu
This network shows the impact of papers produced by Kaijun Wu. 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 Kaijun Wu. The network helps show where Kaijun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijun Wu, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2015 | 47 | |
| 3 | 2023 | 21 | |
| 4 | 2016 | 20 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2011 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2012 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2011 | 6 | |
| 20 | 2020 | 6 |
About Kaijun Wu
Kaijun Wu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 72 papers that have together received 418 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (12 papers), Chaos control and synchronization (8 papers), Advanced Neural Network Applications (7 papers), Metaheuristic Optimization Algorithms Research (5 papers), Neural dynamics and brain function (5 papers), Cryptography and Data Security (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (126 citations), Computer Vision and Pattern Recognition (82 citations), Computer Networks and Communications (70 citations), Artificial Intelligence (75 citations) and Modeling and Simulation (10 citations). Kaijun Wu has collaborated with scholars based in China, United Kingdom and Portugal. Frequent co-authors include Yang Wang, Qinghua Hu, Yue Zhao, Chao Yu, Yao Wu Hao, Chunli Wang, Ming Chen, J. A. Tenreiro Machado, Huan Qun Zheng and Dongyu Yang. Their work appears in journals such as Applied Sciences, Computational Intelligence and Neuroscience, Scientific Reports, IEEE Access and Machine Vision and Applications.
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.