Jin-Liang Wang
- Computer Networks and Communications top 0.2%
- Neural Networks Stability and Synchronization 122
- Nonlinear Dynamics and Pattern Formation 50
- Distributed Control Multi-Agent Systems 37
- Statistical and Nonlinear Physics top 0.5%
- stochastic dynamics and bifurcation 29
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- Stability and Controllability of Differential Equations 22
- Adaptive Control of Nonlinear Systems 9
- Artificial Intelligence top 1%
- Neural Networks and Applications 45
- Metals and Alloys top 5%
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- Advanced Memory and Neural Computing 30
- Co-authors
- Huai‐Ning WuTingwen HuangShun‐Yan RenJigang WuMeng XuZhen QinYanli HuangQing Wang
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Partner nations
- ChinaQatarUnited States
In The Last Decade
Jin-Liang Wang
168 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Networks and Communications 3.6k
- Statistical and Nonlinear Physics 1.4k
- Control and Systems Engineering 803
- Artificial Intelligence 1.0k
- Metals and Alloys 60
Countries citing papers authored by Jin-Liang Wang
This map shows the geographic impact of Jin-Liang Wang'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 Jin-Liang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Liang Wang more than expected).
Fields of papers citing papers by Jin-Liang Wang
This network shows the impact of papers produced by Jin-Liang Wang. 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 Jin-Liang Wang. The network helps show where Jin-Liang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin-Liang Wang, 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 | 2025 | 0 | |
| 4 | 2024 | 74 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 19 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 38 | |
| 19 | 2020 | 45 | |
| 20 | 2019 | 35 |
About Jin-Liang Wang
Jin-Liang Wang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 192 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (122 papers), Nonlinear Dynamics and Pattern Formation (50 papers), Neural Networks and Applications (45 papers), Distributed Control Multi-Agent Systems (37 papers), Advanced Memory and Neural Computing (30 papers), stochastic dynamics and bifurcation (29 papers), Stability and Controllability of Differential Equations (22 papers) and Adaptive Control of Nonlinear Systems (9 papers). The work is most often cited by research in Computer Networks and Communications (3.6k citations), Statistical and Nonlinear Physics (1.4k citations) and Control and Systems Engineering (803 citations). Jin-Liang Wang has collaborated with scholars based in China, Qatar and United States. Frequent co-authors include Huai‐Ning Wu, Tingwen Huang, Shun‐Yan Ren, Jigang Wu, Meng Xu, Zhen Qin, Yanli Huang, Qing Wang, Pu-Chong Wei and Linhao Zhao. Their work appears in journals such as Advanced Materials, Nature Communications and Nano Letters.
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.