Guoxing Wen

5.9k total citations · 6 hit papers
68 papers, 4.7k citations indexed

About

Guoxing Wen is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Guoxing Wen has authored 68 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Theory and Mathematics, 44 papers in Control and Systems Engineering and 34 papers in Computer Networks and Communications. Recurrent topics in Guoxing Wen's work include Adaptive Dynamic Programming Control (47 papers), Adaptive Control of Nonlinear Systems (44 papers) and Distributed Control Multi-Agent Systems (31 papers). Guoxing Wen is often cited by papers focused on Adaptive Dynamic Programming Control (47 papers), Adaptive Control of Nonlinear Systems (44 papers) and Distributed Control Multi-Agent Systems (31 papers). Guoxing Wen collaborates with scholars based in China, Macao and Singapore. Guoxing Wen's co-authors include C. L. Philip Chen, Yan‐Jun Liu, Zhi Liu, Shuzhi Sam Ge, Fei‐Yue Wang, Fangwen Tu, Bin Li, Shaocheng Tong, Yongchao Liu and Yan‐Jun Liu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Information Sciences.

In The Last Decade

Guoxing Wen

56 papers receiving 4.7k citations

Hit Papers

Adaptive Consensus Control for a Class of Nonlinear Multi... 2011 2026 2016 2021 2014 2015 2013 2011 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoxing Wen China 30 3.4k 2.4k 2.0k 834 418 68 4.7k
Shuai Sui China 32 4.4k 1.3× 1.7k 0.7× 1.8k 0.9× 696 0.8× 301 0.7× 86 5.0k
Jiuxiang Dong China 43 4.4k 1.3× 2.4k 1.0× 894 0.4× 805 1.0× 500 1.2× 231 5.3k
Yingnan Pan China 33 4.0k 1.2× 2.8k 1.2× 1.1k 0.5× 891 1.1× 403 1.0× 126 5.2k
Yan‐Jun Liu China 44 5.2k 1.5× 1.9k 0.8× 1.9k 0.9× 733 0.9× 437 1.0× 139 6.3k
Ben Niu China 40 4.0k 1.2× 2.2k 0.9× 1.3k 0.6× 523 0.6× 404 1.0× 185 5.1k
Jie Huang China 21 3.5k 1.0× 1.7k 0.7× 847 0.4× 396 0.5× 359 0.9× 129 4.7k
Hongjing Liang China 45 5.8k 1.7× 4.6k 1.9× 2.0k 1.0× 969 1.2× 709 1.7× 189 7.9k
Hamidreza Modares United States 42 3.7k 1.1× 1.8k 0.8× 3.6k 1.8× 2.1k 2.5× 1.2k 2.8× 116 6.5k
Shaocheng Tong China 46 7.1k 2.1× 3.0k 1.2× 2.7k 1.3× 1.3k 1.6× 541 1.3× 130 8.4k
Chao Deng China 44 4.2k 1.2× 3.5k 1.5× 741 0.4× 400 0.5× 1.1k 2.7× 167 5.7k

Countries citing papers authored by Guoxing Wen

Since Specialization
Citations

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

Fields of papers citing papers by Guoxing Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxing Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxing Wen. A scholar is included among the top collaborators of Guoxing 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 Guoxing Wen. Guoxing 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
1.
2.
Wen, Guoxing, et al.. (2025). Optimized Leader-Follower Consensus Control of Multi-QUAV Attitude System Using Reinforcement Learning and Backstepping. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1469–1479. 5 indexed citations
4.
Zhang, Lingyu, et al.. (2025). Optimized Leader‐Follower Formation Fault‐Tolerant Control Using Reinforcement Learning for a Class of Nonlinear Multi‐Agent Systems Having Actuator Failure. International Journal of Adaptive Control and Signal Processing. 39(10). 2219–2232.
5.
Li, Z.G., et al.. (2024). Optimized leader‐follower consensus control using combination of reinforcement learning and sliding mode mechanism for multiple robot manipulator system. International Journal of Robust and Nonlinear Control. 34(8). 5212–5228. 5 indexed citations
6.
Wen, Guoxing, Dengxiu Yu, & Yanlong Zhao. (2024). Optimized Fuzzy Attitude Control of Quadrotor Unmanned Aerial Vehicle Using Adaptive Reinforcement Learning Strategy. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 6075–6083. 13 indexed citations
8.
Li, Z.G., et al.. (2024). Optimized tracking control using reinforcement learning and backstepping technique for canonical nonlinear unknown dynamic system. Optimal Control Applications and Methods. 45(4). 1655–1671. 1 indexed citations
9.
Wen, Guoxing, et al.. (2024). Adaptive switching control of full state constrained nonlinear systems with unknown control directions. International Journal of Robust and Nonlinear Control. 35(1). 44–61. 1 indexed citations
11.
Wen, Guoxing, et al.. (2024). Optimized backstepping consensus control using adaptive observer-critic–actor reinforcement learning for strict-feedback multi-agent systems. Journal of the Franklin Institute. 361(6). 106693–106693. 2 indexed citations
13.
Wen, Guoxing & Bin Li. (2021). Optimized Leader-Follower Consensus Control Using Reinforcement Learning for a Class of Second-Order Nonlinear Multiagent Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 52(9). 5546–5555. 59 indexed citations
14.
Wen, Guoxing, C. L. Philip Chen, & Shuzhi Sam Ge. (2020). Simplified Optimized Backstepping Control for a Class of Nonlinear Strict-Feedback Systems With Unknown Dynamic Functions. IEEE Transactions on Cybernetics. 51(9). 4567–4580. 219 indexed citations breakdown →
15.
Zhu, Qidan, Yongchao Liu, & Guoxing Wen. (2020). Adaptive neural network output feedback control for stochastic nonlinear systems with full state constraints. ISA Transactions. 101. 60–68. 61 indexed citations
16.
Wen, Guoxing, et al.. (2019). Optimized Adaptive Nonlinear Tracking Control Using Actor–Critic Reinforcement Learning Strategy. IEEE Transactions on Industrial Informatics. 15(9). 4969–4977. 157 indexed citations
17.
Wen, Guoxing, Shuzhi Sam Ge, C. L. Philip Chen, Fangwen Tu, & Shengnan Wang. (2018). Adaptive Tracking Control of Surface Vessel Using Optimized Backstepping Technique. IEEE Transactions on Cybernetics. 49(9). 3420–3431. 195 indexed citations
18.
Wen, Guoxing, Shuzhi Sam Ge, & Fangwen Tu. (2018). Optimized Backstepping for Tracking Control of Strict-Feedback Systems. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3850–3862. 217 indexed citations
19.
Wen, Guoxing, C. L. Philip Chen, Yan‐Jun Liu, & Zhi Liu. (2016). Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems. IEEE Transactions on Cybernetics. 47(8). 2151–2160. 315 indexed citations breakdown →
20.
Liu, Yan‐Jun, C. L. Philip Chen, Guoxing Wen, & Shaocheng Tong. (2011). Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems. IEEE Transactions on Neural Networks. 22(7). 1162–1167. 323 indexed citations breakdown →

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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