Zhongjun Ma
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- stochastic dynamics and bifurcation 13
- Chaos control and synchronization 7
- Complex Network Analysis Techniques 4
- Quantum chaos and dynamical systems 4
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- Neural Networks Stability and Synchronization 34
- Nonlinear Dynamics and Pattern Formation 29
- Distributed Control Multi-Agent Systems 14
- Modeling and Simulation top 5%
- Control and Systems Engineering top 10%
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- Mathematical and Theoretical Epidemiology and Ecology Models 5
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Journals
- IEEE Transactions on Cybernetics (3 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Neurocomputing (2 papers)
- Partner nations
- ChinaHong KongSaudi Arabia
In The Last Decade
Zhongjun Ma
53 papers receiving 952 citations
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 458
- Computer Networks and Communications 728
- Modeling and Simulation 80
- Control and Systems Engineering 121
- Public Health, Environmental and Occupational Health 121
Countries citing papers authored by Zhongjun Ma
This map shows the geographic impact of Zhongjun Ma'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 Zhongjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongjun Ma more than expected).
Fields of papers citing papers by Zhongjun Ma
This network shows the impact of papers produced by Zhongjun Ma. 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 Zhongjun Ma. The network helps show where Zhongjun Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhongjun Ma, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 25 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 10 | |
| 11 | 2018 | 33 | |
| 12 | 2014 | 13 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 10 | |
| 15 | 2012 | 1 | |
| 16 | 2011 | 20 | |
| 17 | 2009 | 26 | |
| 18 | 2007 | 106 | |
| 19 | 2007 | 4 | |
| 20 | 2006 | 75 |
About Zhongjun Ma
Zhongjun Ma is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 56 papers that have together received 990 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (34 papers), Nonlinear Dynamics and Pattern Formation (29 papers), Distributed Control Multi-Agent Systems (14 papers), stochastic dynamics and bifurcation (13 papers), Chaos control and synchronization (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Complex Network Analysis Techniques (4 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (458 citations), Computer Networks and Communications (728 citations) and Modeling and Simulation (80 citations). Zhongjun Ma has collaborated with scholars based in China, Hong Kong and Saudi Arabia. Frequent co-authors include Gang Zhang, Zengrong Liu, Guanrong Chen, Kezan Li, Xiwen Bai, Yaoming Zhou, Jinde Cao, Song Zheng, Jianbao Zhang and Guanghu Zhu. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems 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.