Shun‐Yan Ren
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Jin-Liang WangYanli HuangTingwen HuangHuai‐Ning WuJigang WuBeibei XuPu-Chong WeiWeizhong Chen
- Topics
- Neural Networks Stability and Synchronization (69 papers)Neural Networks and Applications (26 papers)Nonlinear Dynamics and Pattern Formation (26 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsArtificial Intelligence
In The Last Decade
Shun‐Yan Ren
69 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 1.8k
- Statistical and Nonlinear Physics 684
- Electrical and Electronic Engineering 596
- Artificial Intelligence 537
- Control and Systems Engineering 382
Countries citing papers authored by Shun‐Yan Ren
This map shows the geographic impact of Shun‐Yan 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 Shun‐Yan Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun‐Yan Ren more than expected).
Fields of papers citing papers by Shun‐Yan Ren
This network shows the impact of papers produced by Shun‐Yan 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 Shun‐Yan Ren. The network helps show where Shun‐Yan Ren may publish in the future.
Co-authorship network of co-authors of Shun‐Yan Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Yan Ren. A scholar is included among the top collaborators of Shun‐Yan Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shun‐Yan Ren. Shun‐Yan Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 34 | |
| 15 | 40 | |
| 16 | 115 | |
| 17 | 24 | |
| 18 | An Inverse kinematics analysis for a four in-wheel-motor drive and all-wheel independent steering electric vehicle | 3 |
| 19 | An optimal control design of independent suspension based on Adams for a four in-wheel-motor drive electric vehicle | 2 |
| 20 | A road surface identification method for a four in-wheel-motor drive electric vehicle | 1 |
About Shun‐Yan Ren
Shun‐Yan Ren is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (69 papers), Neural Networks and Applications (26 papers) and Nonlinear Dynamics and Pattern Formation (26 papers). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Statistical and Nonlinear Physics (684 citations) and Artificial Intelligence (537 citations). Shun‐Yan Ren has collaborated with scholars based in China, Qatar and Singapore. Frequent co-authors include Jin-Liang Wang, Yanli Huang, Tingwen Huang, Huai‐Ning Wu, Jigang Wu, Beibei Xu, Pu-Chong Wei, Weizhong Chen, Zhen Qin and Shuzhi Sam Ge. Their work appears in journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.
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.