Zunshui Cheng
- Computer Networks and Communications top 1%
- Statistical and Nonlinear Physics top 1%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Topics
- Neural Networks Stability and Synchronization (44 papers)stochastic dynamics and bifurcation (20 papers)Distributed Control Multi-Agent Systems (19 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsModeling and Simulation
- Journals
- IEEE AccessIEEE Transactions on CyberneticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaSaudi ArabiaSouth Korea
In The Last Decade
Zunshui Cheng
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 1.0k
- Statistical and Nonlinear Physics 536
- Electrical and Electronic Engineering 265
- Control and Systems Engineering 246
- Artificial Intelligence 228
Countries citing papers authored by Zunshui Cheng
This map shows the geographic impact of Zunshui Cheng'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 Zunshui Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zunshui Cheng more than expected).
Fields of papers citing papers by Zunshui Cheng
This network shows the impact of papers produced by Zunshui Cheng. 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 Zunshui Cheng. The network helps show where Zunshui Cheng may publish in the future.
Co-authorship network of co-authors of Zunshui Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Zunshui Cheng. A scholar is included among the top collaborators of Zunshui Cheng 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 Zunshui Cheng. Zunshui Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 39 | |
| 10 | 13 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 48 | |
| 14 | 18 | |
| 15 | 33 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 7 | |
| 19 | 7 | |
| 20 | Saddle-node bifurcation of a predator-prey system | 1 |
About Zunshui Cheng
Zunshui Cheng is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (44 papers), stochastic dynamics and bifurcation (20 papers) and Distributed Control Multi-Agent Systems (19 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Statistical and Nonlinear Physics (536 citations) and Modeling and Simulation (67 citations). Zunshui Cheng has collaborated with scholars based in China, Saudi Arabia and South Korea. Frequent co-authors include Jinde Cao, Xinsong Yang, Xiaodi Li, Yuxia Li, Jianquan Lu, Xiaoxiao Wan, Xia Huang, Rongqiang Tang, Min Xiao and Zhen Wang. Their work appears in journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.
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.