Shun‐Yan Ren

2.4k total citations
77 papers, 1.9k citations indexed

About

Shun‐Yan Ren is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Shun‐Yan Ren has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Networks and Communications, 30 papers in Statistical and Nonlinear Physics and 26 papers in Artificial Intelligence. Recurrent topics in Shun‐Yan Ren's work include Neural Networks Stability and Synchronization (69 papers), Neural Networks and Applications (26 papers) and Nonlinear Dynamics and Pattern Formation (26 papers). Shun‐Yan Ren is often cited by papers focused on Neural Networks Stability and Synchronization (69 papers), Neural Networks and Applications (26 papers) and Nonlinear Dynamics and Pattern Formation (26 papers). Shun‐Yan Ren collaborates with scholars based in China, Qatar and Singapore. Shun‐Yan Ren's 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 and has published in prestigious journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Shun‐Yan Ren

69 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shun‐Yan Ren China 26 1.8k 684 596 537 382 77 1.9k
Xuyang Lou China 22 1.1k 0.6× 541 0.8× 257 0.4× 543 1.0× 465 1.2× 133 1.5k
Sanbo Ding China 24 1.3k 0.8× 506 0.7× 654 1.1× 274 0.5× 621 1.6× 67 1.7k
Huaiqin Wu China 26 1.5k 0.9× 734 1.1× 377 0.6× 368 0.7× 349 0.9× 95 1.7k
Cheng Hu China 21 1.3k 0.7× 664 1.0× 350 0.6× 422 0.8× 202 0.5× 101 1.5k
R. Samidurai India 28 1.6k 0.9× 523 0.8× 503 0.8× 634 1.2× 640 1.7× 64 1.8k
Xiaobing Nie China 22 1.0k 0.6× 596 0.9× 361 0.6× 563 1.0× 182 0.5× 52 1.3k
Zhichun Yang China 19 1.4k 0.8× 769 1.1× 196 0.3× 337 0.6× 433 1.1× 60 1.6k
Xiaomei Lu China 25 1.4k 0.8× 636 0.9× 246 0.4× 294 0.5× 1.1k 2.9× 74 2.0k
Qiang Song China 28 3.4k 1.9× 948 1.4× 579 1.0× 263 0.5× 880 2.3× 71 3.7k
Ze Tang China 21 1.3k 0.7× 560 0.8× 170 0.3× 132 0.2× 377 1.0× 72 1.4k

Countries citing papers authored by Shun‐Yan Ren

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Wang, Jin-Liang, et al.. (2025). Passivity for undirected and directed fractional-order complex networks with adaptive output coupling. Neurocomputing. 633. 129774–129774.
2.
Wang, Jin-Liang, Xinyu Zhao, Shun‐Yan Ren, & Tingwen Huang. (2025). Lag Synchronization and Lag $\mathcal {H}_{\infty }$ Synchronization for Multiweighted Coupled Reaction–Diffusion Neural Networks Suffering Topology Attacks. IEEE Transactions on Control of Network Systems. 12(2). 1488–1499.
3.
Wang, Jin-Liang, et al.. (2025). Dynamic Event-Triggered Control for Lag Bipartite Consensus of Multiagent Systems With Signed Directed Topology. IEEE Transactions on Systems Man and Cybernetics Systems. 55(11). 7617–7628.
4.
Wang, Jin-Liang, et al.. (2025). Lag Output Consensus for Second-Order Nonlinear Multiagent Systems Under PID Control. IEEE Transactions on Automation Science and Engineering. 22. 13920–13931.
5.
Wang, Jin‐Liang, et al.. (2025). Adaptive Event-Triggered Lag Outer Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings. IEEE Transactions on Cybernetics. 55(3). 1018–1031.
6.
Gao, Song, Jin-Liang Wang, Shun‐Yan Ren, & Bei Peng. (2025). Performance-barrier-based event-triggered leader–follower consensus control for nonlinear multi-agent systems. Neurocomputing. 657. 131664–131664.
7.
Wang, Jin-Liang, et al.. (2025). Passivity for coupled quaternion-valued neural networks with multiple derivative couplings. Neurocomputing. 624. 129462–129462.
8.
Wang, Jin-Liang, et al.. (2024). Passivity-Based Formation Control for Fractional-Order Multiagent Systems With and Without Communication Delay. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(6). 4143–4154. 1 indexed citations
9.
Wang, Jin-Liang, et al.. (2023). Finite-Time Output Synchronization for Fractional-Order Complex Networks With Output or Output Derivative Coupling. IEEE Transactions on Control of Network Systems. 11(3). 1225–1237. 6 indexed citations
10.
Wang, Jin-Liang, et al.. (2022). Finite-Time Synchronization and H∞ Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 1628–1638. 13 indexed citations
11.
Yang, Chengdong, et al.. (2021). Passivity Analysis of Coupled Stochastic Neural Networks with Multiweights. Discrete Dynamics in Nature and Society. 2021. 1–17. 1 indexed citations
12.
Huang, Yanli, et al.. (2019). General Decay Synchronization and H∞ Synchronization of Multi-weighted Coupled Reaction-diffusion Neural Networks. International Journal of Control Automation and Systems. 18(5). 1250–1263. 7 indexed citations
13.
Wang, Jin-Liang, et al.. (2018). Passivity and Adaptive Control of Complex Dynamical Networks with Multiple Derivative Couplings. 1034–1039. 1 indexed citations
14.
Huang, Yanli, et al.. (2017). Synchronization and Robust Synchronization for Fractional-Order Coupled Neural Networks. IEEE Access. 5. 12439–12448. 34 indexed citations
15.
Wang, Jin-Liang, et al.. (2017). Analysis and Control of Output Synchronization in Directed and Undirected Complex Dynamical Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3326–3338. 40 indexed citations
16.
Wang, Jin-Liang, Huai‐Ning Wu, Tingwen Huang, Shun‐Yan Ren, & Jigang Wu. (2016). Passivity and Output Synchronization of Complex Dynamical Networks With Fixed and Adaptive Coupling Strength. IEEE Transactions on Neural Networks and Learning Systems. 29(2). 364–376. 115 indexed citations
17.
Ren, Shun‐Yan, Jigang Wu, & Pu-Chong Wei. (2016). Passivity and Pinning Passivity of Coupled Delayed Reaction–Diffusion Neural Networks with Dirichlet Boundary Conditions. Neural Processing Letters. 45(3). 869–885. 24 indexed citations
18.
Ren, Shun‐Yan, et al.. (2012). An Inverse kinematics analysis for a four in-wheel-motor drive and all-wheel independent steering electric vehicle. 46–50. 3 indexed citations
19.
Dong, Zejun, et al.. (2012). An optimal control design of independent suspension based on Adams for a four in-wheel-motor drive electric vehicle. 517–520. 2 indexed citations
20.
Dong, Zejiao, et al.. (2012). A road surface identification method for a four in-wheel-motor drive electric vehicle. 38–41. 1 indexed citations

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.

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