Shouming Zhong
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- stochastic dynamics and bifurcation 32
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- Neural Networks Stability and Synchronization 56
- Distributed Control Multi-Agent Systems 13
- Modeling and Simulation top 2%
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- Stability and Control of Uncertain Systems 13
- Artificial Intelligence top 5%
- Neural Networks and Applications 23
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- Gene Regulatory Network Analysis 13
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- Nonlinear Differential Equations Analysis 9
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Journals
- SHILAP Revista de lepidopterología (1 paper)Magnetic Resonance in Medicine (1 paper)Phytochemistry (1 paper)
- Partner nations
- ChinaCanadaNew Zealand
In The Last Decade
Shouming Zhong
74 papers receiving 917 citations
Peers
Comparison fields: 5 of 73
- Statistical and Nonlinear Physics 393
- Computer Networks and Communications 613
- Modeling and Simulation 110
- Control and Systems Engineering 188
- Artificial Intelligence 229
Countries citing papers authored by Shouming Zhong
This map shows the geographic impact of Shouming Zhong'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 Shouming Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouming Zhong more than expected).
Fields of papers citing papers by Shouming Zhong
This network shows the impact of papers produced by Shouming Zhong. 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 Shouming Zhong. The network helps show where Shouming Zhong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shouming Zhong, 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 | 2023 | 2 | |
| 2 | 2020 | 1 | |
| 3 | 2018 | 2 | |
| 4 | 2017 | 10 | |
| 5 | 2017 | 8 | |
| 6 | 2015 | 21 | |
| 7 | 2015 | 9 | |
| 8 | 2015 | 1 | |
| 9 | 2014 | 10 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 22 | |
| 12 | 2013 | 30 | |
| 13 | 2013 | 8 | |
| 14 | 2013 | 26 | |
| 15 | Global Exponential Stability of Reaction-Diffusion BAM Neural Networks | 2012 | 2 |
| 16 | FIXED POINT AND EXPONENTIAL p-STABILITY OF NEUTRAL STOCHASTIC DELAY DIFFERENTIAL EQUATIONS | 2011 | 1 |
| 17 | 2011 | 2 | |
| 18 | 2009 | 70 | |
| 19 | 2009 | 5 | |
| 20 | IDS Based on RST and SVM | 2005 | 1 |
About Shouming Zhong
Shouming Zhong is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 78 papers that have together received 939 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (56 papers), stochastic dynamics and bifurcation (32 papers), Neural Networks and Applications (23 papers), Gene Regulatory Network Analysis (13 papers), Distributed Control Multi-Agent Systems (13 papers), Stability and Control of Uncertain Systems (13 papers), Nonlinear Differential Equations Analysis (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (393 citations), Computer Networks and Communications (613 citations) and Modeling and Simulation (110 citations). Shouming Zhong has collaborated with scholars based in China, Canada and New Zealand. Frequent co-authors include Wenqin Wang, Ruofeng Rao, Jie Pan, Feng Liu, Xinzhi Liu, Mengzhuo Luo, Nan Zhou, Sing Kiong Nguang, Yongming Li and Junkang Tian. Their work appears in journals such as SHILAP Revista de lepidopterología, Magnetic Resonance in Medicine and Phytochemistry.
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.