Yan Ping Yang
Impact in
-
- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Quantum chaos and dynamical systems
-
- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
Papers in
-
- Chaos control and synchronization 11
- Quantum chaos and dynamical systems 8
- stochastic dynamics and bifurcation 6
-
- Chaos-based Image/Signal Encryption 8
- Co-authors
- Lilian Huang (10 shared papers)Zhengqiu Zhang (2 shared papers)Jianhong Xiang (3 shared papers)Qiang Guo (3 shared papers)Nikolay V. Kuznetsov (3 shared papers)Han Bao (4 shared papers)Houzhen Li (2 shared papers)Brian C. Lovell (3 shared papers)
In The Last Decade
Yan Ping Yang
43 papers receiving 608 citations
Peers
Comparison fields: 5 of 72
- Statistical and Nonlinear Physics 322
- Computer Networks and Communications 214
- Computer Vision and Pattern Recognition 166
- Artificial Intelligence 148
- Cognitive Neuroscience 49
Countries citing papers authored by Yan Ping Yang
This map shows the geographic impact of Yan Ping Yang'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 Yan Ping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ping Yang more than expected).
Fields of papers citing papers by Yan Ping Yang
This network shows the impact of papers produced by Yan Ping Yang. 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 Yan Ping Yang. The network helps show where Yan Ping Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ping Yang, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 59 | |
| 2 | 2021 | 52 | |
| 3 | 2011 | 50 | |
| 4 | 2011 | 48 | |
| 5 | 2021 | 45 | |
| 6 | 2023 | 37 | |
| 7 | 2021 | 32 | |
| 8 | 2015 | 25 | |
| 9 | 2025 | 20 | |
| 10 | 2021 | 17 | |
| 11 | 2009 | 17 | |
| 12 | 2013 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2024 | 14 | |
| 15 | 2011 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2024 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2020 | 12 |
About Yan Ping Yang
Yan Ping Yang is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 43 papers that have together received 632 indexed citations. Recurring topics across this work include Chaos control and synchronization (11 papers), Advanced Memory and Neural Computing (9 papers), Quantum chaos and dynamical systems (8 papers), Neural Networks and Applications (8 papers), Chaos-based Image/Signal Encryption (8 papers), stochastic dynamics and bifurcation (6 papers), Neural dynamics and brain function (4 papers) and Neural Networks Stability and Synchronization (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (322 citations), Computer Networks and Communications (214 citations), Computer Vision and Pattern Recognition (166 citations), Artificial Intelligence (148 citations) and Cognitive Neuroscience (49 citations). Yan Ping Yang has collaborated with scholars based in China, Australia and India. Frequent co-authors include Lilian Huang, Zhengqiu Zhang, Jianhong Xiang, Qiang Guo, Nikolay V. Kuznetsov, Han Bao, Houzhen Li, Brian C. Lovell, Qiang Lai and Dongqing Wang. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Circuits & Systems II Express Briefs, The European Physical Journal Special Topics, International Journal of Circuit Theory and Applications and Electronics.
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.