Shiping Wen

4.3k total citations · 3 hit papers
209 papers, 2.8k citations indexed

About

Shiping Wen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shiping Wen has authored 209 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Computer Networks and Communications, 74 papers in Electrical and Electronic Engineering and 50 papers in Artificial Intelligence. Recurrent topics in Shiping Wen's work include Neural Networks Stability and Synchronization (90 papers), Advanced Memory and Neural Computing (63 papers) and Distributed Control Multi-Agent Systems (40 papers). Shiping Wen is often cited by papers focused on Neural Networks Stability and Synchronization (90 papers), Advanced Memory and Neural Computing (63 papers) and Distributed Control Multi-Agent Systems (40 papers). Shiping Wen collaborates with scholars based in China, Australia and Qatar. Shiping Wen's co-authors include Tingwen Huang, Kaibo Shi, Song Zhu, Zhigang Zeng, Zheng Yan, Junwei Sun, Yin Yang, Xiaoyang Liu, Yanfeng Wang and Peng Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

Shiping Wen

187 papers receiving 2.8k citations

Hit Papers

Deep Learning and Artificial Intelligence in Sustainabili... 2023 2026 2024 2025 2023 2024 2025 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiping Wen China 28 1.2k 863 836 554 505 209 2.8k
Zheng Yan China 30 1.0k 0.8× 1.2k 1.4× 780 0.9× 624 1.1× 614 1.2× 72 3.2k
Shiping Wen China 38 3.1k 2.6× 2.4k 2.8× 1.0k 1.2× 985 1.8× 1.7k 3.3× 126 5.1k
Mahdi Aliyari Shoorehdeli Iran 26 233 0.2× 507 0.6× 775 0.9× 1.2k 2.1× 148 0.3× 207 2.6k
Keyou You China 31 2.4k 2.0× 724 0.8× 1.8k 2.1× 2.1k 3.8× 119 0.2× 168 5.0k
Mohammad-R. Akbarzadeh-T Iran 27 256 0.2× 238 0.3× 1.0k 1.2× 585 1.1× 74 0.1× 201 2.5k
A. Prieto Spain 26 329 0.3× 352 0.4× 1.2k 1.4× 354 0.6× 60 0.1× 160 2.5k
Julio Ortega Spain 26 448 0.4× 364 0.4× 1.4k 1.7× 301 0.5× 44 0.1× 133 2.5k
Howard H. Yang China 26 1.1k 1.0× 1.3k 1.5× 3.0k 3.6× 235 0.4× 72 0.1× 160 5.6k
Ying Lin China 21 539 0.5× 324 0.4× 1.8k 2.2× 239 0.4× 116 0.2× 106 3.1k
Yuanyan Tang China 25 808 0.7× 307 0.4× 723 0.9× 584 1.1× 271 0.5× 125 3.1k

Countries citing papers authored by Shiping Wen

Since Specialization
Citations

This map shows the geographic impact of Shiping Wen'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 Shiping Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiping Wen more than expected).

Fields of papers citing papers by Shiping Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiping Wen. 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 Shiping Wen. The network helps show where Shiping Wen may publish in the future.

Co-authorship network of co-authors of Shiping Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Shiping Wen. A scholar is included among the top collaborators of Shiping Wen 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 Shiping Wen. Shiping Wen 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
2.
Wang, Shengbo & Shiping Wen. (2025). Safe Control Against Uncertainty: A Comprehensive Review of Control Barrier Function Strategies. IEEE Systems Man and Cybernetics Magazine. 11(1). 34–47. 2 indexed citations
3.
Wang, Leimin, et al.. (2024). Novel distributed event/self-triggered sliding-mode control: Application to practical fixed-time consensus of second-order multi-agent systems. Information Sciences. 677. 120808–120808. 4 indexed citations
4.
Liu, Xinghua, et al.. (2024). Motion segmentation with event camera: N-patches optical flow estimation and Pairwise Markov Random Fields. Expert Systems with Applications. 254. 124342–124342.
6.
Wang, Huamin, et al.. (2024). Multi-LRA: Multi logical residual architecture for spiking neural networks. Information Sciences. 660. 120136–120136. 2 indexed citations
7.
Shi, Kaibo, et al.. (2024). Fuzzy adaptive event-triggered synchronization control mechanism for T–S fuzzy RDNNs under deception attacks. Communications in Nonlinear Science and Numerical Simulation. 134. 107985–107985. 14 indexed citations
8.
Zhu, Song, et al.. (2024). Multistability of recurrent neural networks with general periodic activation functions and unbounded time-varying delays. Journal of the Franklin Institute. 361(18). 107236–107236.
9.
Guo, Zhenyuan, et al.. (2024). Multistability and fixed-time multisynchronization of switched neural networks with state-dependent switching rules. Neural Networks. 180. 106713–106713. 2 indexed citations
10.
Zhang, Chunxiao, et al.. (2023). Multi-lead-time short-term runoff forecasting based on Ensemble Attention Temporal Convolutional Network. Expert Systems with Applications. 243. 122935–122935. 17 indexed citations
11.
Liu, Xingyue, Kaibo Shi, Jun Cheng, Shiping Wen, & Yajuan Liu. (2023). Adaptive memory-based event-triggering resilient LFC for power system under DoS attack. Applied Mathematics and Computation. 451. 128041–128041. 13 indexed citations
12.
Cao, Yuting, Linhao Zhao, Qishui Zhong, et al.. (2023). Adaptive PI control for H synchronization of multiple delayed coupled neural networks. Neurocomputing. 560. 126855–126855. 10 indexed citations
13.
Gong, Shuqing, et al.. (2023). Synchronization Control for T-S Fuzzy Neural Networks With Time Delay: A Novel Event-Triggered Mechanism. IEEE Transactions on Fuzzy Systems. 32(2). 586–594. 8 indexed citations
14.
Wen, Shiping, Zhong-kai Feng, Jiaqi Gong, et al.. (2023). A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(4). 1083–1097. 26 indexed citations
15.
Wang, Xiaoxuan, Shaofu Yang, Zhenyuan Guo, et al.. (2023). A Distributed k-Winners-Take-All Model With Binary Consensus Protocols. IEEE Transactions on Cybernetics. 54(5). 3327–3337. 6 indexed citations
16.
Zhao, Linhao, Shiping Wen, Zhenyuan Guo, et al.. (2023). Finite-Time Nonchattering Synchronization of Coupled Neural Networks With Multi-Weights. IEEE Transactions on Network Science and Engineering. 10(4). 2212–2225. 33 indexed citations
17.
Cheng, Jun, et al.. (2022). Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 9004–9015. 26 indexed citations
18.
Ejegwa, Paul Augustine, et al.. (2021). Some new Pythagorean fuzzy correlation techniques via statistical viewpoint with applications to decision-making problems. Journal of Intelligent & Fuzzy Systems. 40(5). 9873–9886. 28 indexed citations
19.
Swain, Akshya, et al.. (2021). A discrete event-triggered scheme for networked control systems. 1–6. 5 indexed citations
20.
Guo, Zhenyuan, et al.. (2021). An Adaptive Multi-Agent System With Duplex Control Laws for Distributed Resource Allocation. IEEE Transactions on Network Science and Engineering. 9(2). 389–400. 26 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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