Liqun Zhou
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- Neural Networks Stability and Synchronization 40
- Nonlinear Dynamics and Pattern Formation 16
- Cooperative Communication and Network Coding 5
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- stochastic dynamics and bifurcation 22
- Chaos control and synchronization 7
- Artificial Intelligence top 5%
- Neural Networks and Applications 13
- Modeling and Simulation top 10%
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- Cellular Automata and Applications 3
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- Advanced Memory and Neural Computing 13
- Co-authors
- Guang‐Da HuYixian YangXiu‐Bo ChenLijuan SuZhongying ZhaoYanyan ZhangTingwen HuangQuanxin Zhu
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsArtificial Intelligence
- Journals
- Journal of Computational Physics (1 paper)Information Sciences (4 papers)Neurocomputing (6 papers)
- Partner nations
- ChinaQatarUnited States
In The Last Decade
Liqun Zhou
40 papers receiving 787 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 748
- Statistical and Nonlinear Physics 399
- Artificial Intelligence 255
- Modeling and Simulation 23
- Computational Theory and Mathematics 65
Countries citing papers authored by Liqun Zhou
This map shows the geographic impact of Liqun Zhou'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 Liqun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liqun Zhou more than expected).
Fields of papers citing papers by Liqun Zhou
This network shows the impact of papers produced by Liqun Zhou. 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 Liqun Zhou. The network helps show where Liqun Zhou may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Liqun Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 23 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 9 | |
| 14 | 2016 | 12 | |
| 15 | 2015 | 27 | |
| 16 | 2013 | 2 | |
| 17 | Global asymptotic stability of a class of cellular neural networks with variable delays | 2012 | 1 |
| 18 | Exponential Stability of a Class of Cellular Neural Networks with Multi-Pantograph Delays | 2012 | 17 |
| 19 | 2011 | 18 | |
| 20 | 1998 | 1 |
About Liqun Zhou
Liqun Zhou is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 44 papers that have together received 794 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (40 papers), stochastic dynamics and bifurcation (22 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Neural Networks and Applications (13 papers), Advanced Memory and Neural Computing (13 papers), Chaos control and synchronization (7 papers), Cooperative Communication and Network Coding (5 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Computer Networks and Communications (748 citations), Statistical and Nonlinear Physics (399 citations) and Artificial Intelligence (255 citations). Liqun Zhou has collaborated with scholars based in China, Qatar and United States. Frequent co-authors include Guang‐Da Hu, Yixian Yang, Xiu‐Bo Chen, Lijuan Su, Zhongying Zhao, Yanyan Zhang, Tingwen Huang, Quanxin Zhu, Qian Li and Yu Wang. Their work appears in journals such as Journal of Computational Physics, Information Sciences and Neurocomputing.
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.