Hongyan Zang
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Co-authors
- Lequan MinGeng ZhaoGuanrong ChenZhongxin LiuGuodong LiYu WangQi WangPei Li
- Topics
- Chaos control and synchronization (21 papers)Chaos-based Image/Signal Encryption (17 papers)Nonlinear Dynamics and Pattern Formation (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionMathematical Physics
In The Last Decade
Hongyan Zang
25 papers receiving 259 citations
Peers
Comparison fields: 5 of 39
- Statistical and Nonlinear Physics 146
- Computer Vision and Pattern Recognition 133
- Computer Networks and Communications 85
- Computational Theory and Mathematics 53
- Artificial Intelligence 49
Countries citing papers authored by Hongyan Zang
This map shows the geographic impact of Hongyan Zang'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 Hongyan Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyan Zang more than expected).
Fields of papers citing papers by Hongyan Zang
This network shows the impact of papers produced by Hongyan Zang. 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 Hongyan Zang. The network helps show where Hongyan Zang may publish in the future.
Co-authorship network of co-authors of Hongyan Zang
This figure shows the co-authorship network connecting the top 25 collaborators of Hongyan Zang. A scholar is included among the top collaborators of Hongyan Zang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongyan Zang. Hongyan Zang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 72 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | Analysis of FIPS 140-2 Test and Chaos-Based Pseudorandom Number Generator | 14 |
| 15 | 19 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 23 | |
| 20 | 8 |
About Hongyan Zang
Hongyan Zang is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 30 papers that have together received 274 indexed citations. Recurring topics across this work include Chaos control and synchronization (21 papers), Chaos-based Image/Signal Encryption (17 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (146 citations), Computer Vision and Pattern Recognition (133 citations) and Mathematical Physics (34 citations). Hongyan Zang has collaborated with scholars based in China and Malaysia. Frequent co-authors include Lequan Min, Geng Zhao, Guanrong Chen, Zhongxin Liu, Guodong Li, Yu Wang, Qi Wang, Pei Li, Qiao Zhang and Tengfei Lei. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics and Journal of Computational and Applied Mathematics.
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.