Kaijun Wu
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Anomaly Detection Techniques and Applications 5
- Cryptography and Data Security 4
- Internet Traffic Analysis and Secure E-voting 4
- Privacy-Preserving Technologies in Data 4
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- Nonlinear Dynamics and Pattern Formation 10
- Network Security and Intrusion Detection 5
- Co-authors
- Yang Wang (1 shared paper)Jenhui Chen (1 shared paper)Shiyi Cao (1 shared paper)Pengfei Xie (1 shared paper)Shigeru Suzuki (1 shared paper)C.R. Doerr (1 shared paper)Y. Hibino (1 shared paper)G. T. Harvey (1 shared paper)
- Journals
- Applied Sciences (4 papers)Computational Intelligence and Neuroscience (3 papers)Multimedia Systems (2 papers)IEEE Access (2 papers)Machine Vision and Applications (2 papers)
- Partner nations
- ChinaUnited KingdomVietnam
In The Last Decade
Kaijun Wu
60 papers receiving 488 citations
Peers
Comparison fields: 5 of 68
- Statistical and Nonlinear Physics 138
- Computer Networks and Communications 146
- Computer Vision and Pattern Recognition 94
- Cognitive Neuroscience 77
- Electrical and Electronic Engineering 184
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 124 | |
| 2 | 2018 | 55 | |
| 3 | 2015 | 46 | |
| 4 | 2016 | 20 | |
| 5 | 2023 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2011 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2012 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2020 | 6 |
About Kaijun Wu
Kaijun Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 70 papers that have together received 510 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (14 papers), Neural dynamics and brain function (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (5 papers), Cryptography and Data Security (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (138 citations), Computer Networks and Communications (146 citations), Computer Vision and Pattern Recognition (94 citations), Cognitive Neuroscience (77 citations) and Electrical and Electronic Engineering (184 citations). Kaijun Wu has collaborated with scholars based in China, United Kingdom and Vietnam. Frequent co-authors include Yang Wang, Jenhui Chen, Shiyi Cao, Pengfei Xie, Shigeru Suzuki, C.R. Doerr, Y. Hibino, G. T. Harvey, Jay N. Damask and Yue Zhao. Their work appears in journals such as Applied Sciences, Computational Intelligence and Neuroscience, Multimedia Systems, 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.