Min Wang

6.4k total citations · 4 hit papers
238 papers, 5.1k citations indexed

About

Min Wang is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Min Wang has authored 238 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Control and Systems Engineering, 52 papers in Computational Theory and Mathematics and 38 papers in Computer Networks and Communications. Recurrent topics in Min Wang's work include Adaptive Control of Nonlinear Systems (81 papers), Adaptive Dynamic Programming Control (42 papers) and Iterative Learning Control Systems (32 papers). Min Wang is often cited by papers focused on Adaptive Control of Nonlinear Systems (81 papers), Adaptive Dynamic Programming Control (42 papers) and Iterative Learning Control Systems (32 papers). Min Wang collaborates with scholars based in China, United Kingdom and Canada. Min Wang's co-authors include Shi‐Lu Dai, Peng Shi, Shude He, Chenguang Yang, Cong Wang, Bing Chen, Fei Luo, Cong Wang, Zidong Wang and Xiaoping Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Brain Research.

In The Last Decade

Min Wang

213 papers receiving 5.0k citations

Hit Papers

Leader–Follower Formation Control of USVs With... 2011 2026 2016 2021 2018 2011 2015 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Wang China 34 3.7k 1.3k 1.2k 739 451 238 5.1k
George A. Rovithakis Greece 32 6.0k 1.6× 1.5k 1.2× 1.5k 1.3× 854 1.2× 694 1.5× 133 7.1k
Yongping Pan China 46 4.8k 1.3× 812 0.6× 918 0.8× 1.1k 1.4× 887 2.0× 166 6.5k
Jianqiang Yi China 37 3.5k 0.9× 570 0.4× 449 0.4× 1.1k 1.6× 662 1.5× 344 5.4k
Manuel Mazo Spain 34 1.8k 0.5× 1.4k 1.0× 613 0.5× 243 0.3× 241 0.5× 205 4.6k
Simone Baldi Netherlands 42 3.6k 1.0× 1.3k 1.0× 464 0.4× 334 0.5× 484 1.1× 231 5.6k
Edgar N. Sánchez Mexico 33 3.1k 0.8× 1.7k 1.3× 502 0.4× 1.6k 2.2× 305 0.7× 372 5.4k
Wen‐An Zhang China 44 4.2k 1.1× 3.1k 2.3× 327 0.3× 1.5k 2.0× 289 0.6× 276 6.1k
Colin N. Jones Switzerland 40 5.0k 1.4× 537 0.4× 478 0.4× 511 0.7× 491 1.1× 262 7.6k
Chaoxu Mu China 42 3.4k 0.9× 739 0.6× 2.1k 1.7× 1.2k 1.6× 401 0.9× 236 6.0k
P.J. Gawthrop United Kingdom 37 5.8k 1.6× 483 0.4× 399 0.3× 1.1k 1.5× 1.1k 2.3× 191 8.0k

Countries citing papers authored by Min Wang

Since Specialization
Citations

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

Fields of papers citing papers by Min Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Wang. A scholar is included among the top collaborators of Min Wang 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 Min Wang. Min Wang 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.
Han, Xu, et al.. (2025). Optimization of ship-deployed AUVs synergisticscheduling for offshore wind turbines underwater foundations inspection. Computers & Operations Research. 181. 107080–107080. 2 indexed citations
2.
Zeng, Ming, Min Wang, Fuqiang Xie, & Zhiwei Ji. (2025). Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN. BMC Bioinformatics. 26(1). 200–200.
3.
Wang, Min, Liang Cao, Hongjing Liang, & Wenbin Xiao. (2023). Simplified reinforcement learning control algorithm for p-norm multiagent systems with full-state constraints. Neurocomputing. 551. 126504–126504. 4 indexed citations
4.
Wang, Tao, et al.. (2023). The Research on Relative Knowledge Distances and Their Cognitive Features. SHILAP Revista de lepidopterología. 4. 135–148. 4 indexed citations
5.
Wang, Min, et al.. (2023). How Russian-Ukrainian geopolitical risks affect Chinese commodity and financial markets?. Finance research letters. 56. 104179–104179. 18 indexed citations
6.
Wang, Min, et al.. (2023). A New Neural Dynamic Learning Framework for Discrete-Time Strict-Feedback Systems: Internal Interaction-Based Weight Adaptive Laws. IEEE Transactions on Cybernetics. 54(7). 4216–4228. 1 indexed citations
7.
Wang, Min, et al.. (2023). A Deep Quality Monitoring Network for Quality-Related Incipient Faults. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1507–1517. 8 indexed citations
8.
Wang, Min, Donghua Zhou, & Maoyin Chen. (2022). Adjustable Multimode Monitoring With Hybrid Variables and Its Application in a Thermal Power Plant. IEEE Transactions on Industrial Informatics. 19(2). 1425–1435. 13 indexed citations
9.
Wang, Min, Donghua Zhou, & Maoyin Chen. (2022). Recursive Hybrid Variable Monitoring for Fault Detection in Nonstationary Industrial Processes. IEEE Transactions on Industrial Informatics. 18(10). 7296–7304. 32 indexed citations
10.
Wang, Xiaoling, et al.. (2022). HtrA1L364P leads to cognitive dysfunction and vascular destruction through TGF‐β/Smad signaling pathway in CARASIL model mice. Brain and Behavior. 12(8). e2691–e2691. 3 indexed citations
11.
Wang, Min, et al.. (2019). Genetic algorithms for task assignments in logistic warehouses. 7(3). 196–196.
12.
Sun, Zong‐Yao, Min Wang, Chih‐Chiang Chen, & Qinghua Meng. (2019). Disturbance attenuation with fast global finite‐time convergence for generalized high‐order uncertain nonlinear systems. International Journal of Robust and Nonlinear Control. 30(2). 824–841. 8 indexed citations
13.
Luo, Jing, Chenguang Yang, Qiang Li, & Min Wang. (2019). A Task Learning Mechanism for the Telerobots. International Journal of Humanoid Robotics. 16(2). 1950009–1950009. 20 indexed citations
14.
Luo, Jing, Chenguang Yang, Ning Wang, & Min Wang. (2019). Enhanced teleoperation performance using hybrid control and virtual fixture. International Journal of Systems Science. 50(3). 451–462. 43 indexed citations
15.
Zhang, Kailong, et al.. (2018). Service-Oriented Cooperation Policies for Intelligent Ground Vehicles Approaching Intersections. Applied Sciences. 8(9). 1647–1647. 5 indexed citations
16.
Yang, Chenguang, et al.. (2017). Hand gesture recognition using MYO armband. 4850–4855. 25 indexed citations
17.
Wang, Min. (2013). Design of VME master module based on x86 architecture processor. Shengxue jishu.
18.
Wang, Min. (2013). Soil pH Changes in the Paddy Field during the Drying and Rewetting Cycles in the Ningxia Irrigation Area of the Yellow River Basin. Journal of Nuclear Agricultural Sciences. 378–384. 5 indexed citations
19.
Wang, Min. (2012). Model fitting on light response curve of photosynthesis of wild Drepanostachyum luodianense. Zhongnan Linye Keji Daxue xuebao.
20.
Wang, Min. (2007). Research on medical image classification based on Cascade combined classifiers. Computer Engineering and Applications Journal. 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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