Xiangjun Wu
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Chaos control and synchronization
- Quantum chaos and dynamical systems
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
Papers in
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- Chaos control and synchronization 29
- Quantum chaos and dynamical systems 9
- stochastic dynamics and bifurcation 7
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- Nonlinear Dynamics and Pattern Formation 30
- Neural Networks Stability and Synchronization 19
- Co-authors
- Haibin Kan (11 shared papers)Hong Tao Lu (16 shared papers)Jürgen Kurths (7 shared papers)Xingyuan Wang (13 shared papers)Kunshu Wang (8 shared papers)Hui Wang (2 shared papers)Jie Li (2 shared papers)Guanrong Chen (2 shared papers)
In The Last Decade
Xiangjun Wu
80 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 101
- Statistical and Nonlinear Physics 1.4k
- Computer Vision and Pattern Recognition 1.5k
- Computer Networks and Communications 1.1k
- Modeling and Simulation 142
- Computational Theory and Mathematics 442
Countries citing papers authored by Xiangjun Wu
This map shows the geographic impact of Xiangjun 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 Xiangjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Wu more than expected).
Fields of papers citing papers by Xiangjun Wu
This network shows the impact of papers produced by Xiangjun 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 Xiangjun Wu. The network helps show where Xiangjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjun 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 299 | |
| 2 | 2018 | 291 | |
| 3 | 2016 | 204 | |
| 4 | 2007 | 154 | |
| 5 | 2011 | 124 | |
| 6 | 2017 | 109 | |
| 7 | 2017 | 104 | |
| 8 | 2009 | 92 | |
| 9 | 2017 | 91 | |
| 10 | 2008 | 86 | |
| 11 | 2015 | 75 | |
| 12 | 2023 | 66 | |
| 13 | 2010 | 63 | |
| 14 | 2011 | 62 | |
| 15 | 2008 | 60 | |
| 16 | 2011 | 58 | |
| 17 | 2013 | 56 | |
| 18 | 2010 | 55 | |
| 19 | 2014 | 51 | |
| 20 | 2009 | 50 |
About Xiangjun Wu
Xiangjun Wu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Mathematical Physics and Modeling and Simulation, having authored 84 papers that have together received 3.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (30 papers), Chaos control and synchronization (29 papers), Chaos-based Image/Signal Encryption (26 papers), Neural Networks Stability and Synchronization (19 papers), Advanced Steganography and Watermarking Techniques (16 papers), Quantum chaos and dynamical systems (9 papers), stochastic dynamics and bifurcation (7 papers) and Mathematical Dynamics and Fractals (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Computer Vision and Pattern Recognition (1.5k citations), Computer Networks and Communications (1.1k citations), Modeling and Simulation (142 citations) and Computational Theory and Mathematics (442 citations). Xiangjun Wu has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Haibin Kan, Hong Tao Lu, Jürgen Kurths, Xingyuan Wang, Kunshu Wang, Hui Wang, Jie Li, Guanrong Chen, Dawei Wang and Yang Lu. Their work appears in journals such as Nonlinear Dynamics, Multimedia Tools and Applications, Communications in Nonlinear Science and Numerical Simulation, Neural Computing and Applications and Physics Letters A.
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.