Shaowei Zhou

607 total citations
14 papers, 503 citations indexed

About

Shaowei Zhou is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Shaowei Zhou has authored 14 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 7 papers in Computational Theory and Mathematics and 5 papers in Computer Networks and Communications. Recurrent topics in Shaowei Zhou's work include Adaptive Dynamic Programming Control (6 papers), Adaptive Control of Nonlinear Systems (6 papers) and Stability and Control of Uncertain Systems (5 papers). Shaowei Zhou is often cited by papers focused on Adaptive Dynamic Programming Control (6 papers), Adaptive Control of Nonlinear Systems (6 papers) and Stability and Control of Uncertain Systems (5 papers). Shaowei Zhou collaborates with scholars based in China and Canada. Shaowei Zhou's co-authors include Yumei Sun, Bing Chen, Chong Lin, Honghong Wang, Xiaoping Liu, Yang Liu, Yuanwei Jing, Fang Wang, Lili Zhang and Yuanyuan Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Shaowei Zhou

14 papers receiving 496 citations

Peers

Shaowei Zhou
Shaowei Zhou
Citations per year, relative to Shaowei Zhou Shaowei Zhou (= 1×) peers Yong-Feng Gao

Countries citing papers authored by Shaowei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shaowei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shaowei Zhou. A scholar is included among the top collaborators of Shaowei Zhou 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 Shaowei Zhou. Shaowei Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Sun, Yumei, et al.. (2020). Output Feedback Adaptive Control for Stochastic Non-strict-feedback System with Dead-zone. International Journal of Control Automation and Systems. 18(10). 2621–2629. 10 indexed citations
3.
Sun, Yumei, Bing Chen, Fang Wang, Shaowei Zhou, & Honghong Wang. (2019). A novel adaptive control method for a class of stochastic switched pure feedback systems. Neurocomputing. 367. 337–345. 10 indexed citations
4.
Sun, Yumei, et al.. (2019). Finite-Time Adaptive Control for Non-Strict Feedback Stochastic Nonlinear Systems. IEEE Access. 7. 179758–179764. 9 indexed citations
5.
Wang, Fang, Lili Zhang, Shaowei Zhou, & Yuanyuan Huang. (2019). Neural network-based finite-time control of quantized stochastic nonlinear systems. Neurocomputing. 362. 195–202. 45 indexed citations
6.
Jing, Yuanwei, Yang Liu, & Shaowei Zhou. (2018). Prescribed Performance Finite-Time Tracking Control for Uncertain Nonlinear Systems. Journal of Systems Science and Complexity. 32(3). 803–817. 35 indexed citations
7.
Zhou, Shaowei, Xiaoping Liu, Bing Chen, & Hongxia Liu. (2018). Stability Analysis for a Class of Discrete‐Time Nonhomogeneous Markov Jump Systems with Multiplicative Noises. Complexity. 2018(1). 13 indexed citations
8.
Liu, Yang, Xiaoping Liu, Yuanwei Jing, & Shaowei Zhou. (2017). Adaptive backstepping H∞ tracking control with prescribed performance for internet congestion. ISA Transactions. 72. 92–99. 76 indexed citations
9.
Zhang, Ziye, Xiaoping Liu, Chong Lin, & Shaowei Zhou. (2017). Exponential stability analysis for delayed complex-valued memristor-based recurrent neural networks. Neural Computing and Applications. 31(6). 1893–1903. 7 indexed citations
10.
Zhang, Ziye, Xiaoping Liu, Jian Chen, Runan Guo, & Shaowei Zhou. (2017). Further stability analysis for delayed complex-valued recurrent neural networks. Neurocomputing. 251. 81–89. 40 indexed citations
11.
Sun, Yumei, Bing Chen, Chong Lin, Honghong Wang, & Shaowei Zhou. (2016). Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach. Information Sciences. 369. 748–764. 242 indexed citations
12.
Zhang, Ziye, et al.. (2015). H<inf>&#x221E;</inf> control for fuzzy time-delay systems via dynamic output feedback. 47. 1–6. 2 indexed citations
13.
Zhou, Shaowei & Weihai Zhang. (2012). Discrete‐Time Indefinite Stochastic LQ Control via SDP and LMI Methods. SHILAP Revista de lepidopterología. 2012(1). 10 indexed citations
14.
Zhou, Shaowei, et al.. (2001). Distributed Integrated Information System for Product Design. 13(5). 418–423. 2 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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