Wei Ren
- Computer Networks and Communications top 0.01%
- Distributed Control Multi-Agent Systems 177
- Neural Networks Stability and Synchronization 104
- Nonlinear Dynamics and Pattern Formation 19
- Control and Systems Engineering top 0.05%
- Adaptive Control of Nonlinear Systems 42
- Stability and Control of Uncertain Systems 19
- Computational Theory and Mathematics top 0.2%
- Adaptive Dynamic Programming Control 20
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- Mathematical and Theoretical Epidemiology and Ecology Models 29
- Aerospace Engineering top 0.5%
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- Target Tracking and Data Fusion in Sensor Networks 19
Wei Ren
243 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Networks and Communications 15.5k
- Control and Systems Engineering 8.0k
- Computational Theory and Mathematics 1.5k
- Public Health, Environmental and Occupational Health 2.2k
- Aerospace Engineering 1.5k
Countries citing papers authored by Wei Ren
This map shows the geographic impact of Wei Ren'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 Wei Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ren more than expected).
Fields of papers citing papers by Wei Ren
This network shows the impact of papers produced by Wei Ren. 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 Wei Ren. The network helps show where Wei Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Ren, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 9 | |
| 7 | 2021 | 31 | |
| 8 | 2019 | 67 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 12 | |
| 11 | 2018 | 83 | |
| 12 | 2018 | 39 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 89 | |
| 15 | 2018 | 79 | |
| 16 | 2018 | 45 | |
| 17 | 2017 | 95 | |
| 18 | 2017 | 37 | |
| 19 | 2017 | 174 | |
| 20 | Robust distributed average tracking for coupled general linear systems | 2013 | 13 |
About Wei Ren
Wei Ren is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Computational Theory and Mathematics, Aerospace Engineering and Artificial Intelligence, having authored 251 papers that have together received 18.0k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (177 papers), Neural Networks Stability and Synchronization (104 papers), Adaptive Control of Nonlinear Systems (42 papers), Mathematical and Theoretical Epidemiology and Ecology Models (29 papers), Adaptive Dynamic Programming Control (20 papers), Nonlinear Dynamics and Pattern Formation (19 papers), Target Tracking and Data Fusion in Sensor Networks (19 papers) and Stability and Control of Uncertain Systems (19 papers). The work is most often cited by research in Computer Networks and Communications (15.5k citations), Control and Systems Engineering (8.0k citations), Computational Theory and Mathematics (1.5k citations), Public Health, Environmental and Occupational Health (2.2k citations) and Aerospace Engineering (1.5k citations). Wei Ren has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yongcan Cao, Guanrong Chen, Wenwu Yu, Zhongkui Li, Xiangdong Liu, Jie Mei, Peng Lin, Randal W. Beard, Guanghui Wen and Ella Atkins. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Cybernetics, IEEE Transactions on Control of Network Systems and Systems & Control 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.