Renquan Lu

12.3k total citations · 10 hit papers
207 papers, 10.3k citations indexed

About

Renquan Lu is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Renquan Lu has authored 207 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Control and Systems Engineering, 106 papers in Computer Networks and Communications and 33 papers in Computational Theory and Mathematics. Recurrent topics in Renquan Lu's work include Stability and Control of Uncertain Systems (128 papers), Neural Networks Stability and Synchronization (79 papers) and Adaptive Control of Nonlinear Systems (56 papers). Renquan Lu is often cited by papers focused on Stability and Control of Uncertain Systems (128 papers), Neural Networks Stability and Synchronization (79 papers) and Adaptive Control of Nonlinear Systems (56 papers). Renquan Lu collaborates with scholars based in China, Australia and Hong Kong. Renquan Lu's co-authors include Hongyi Li, Hongye Su, Yuanqing Wu, Peng Shi, Zheng‐Guang Wu, Yong Xu, Qi Zhou, Anke Xue, Lijie Wang and Tingwen Huang and has published in prestigious journals such as IEEE Transactions on Automatic Control, The FASEB Journal and IEEE Transactions on Industrial Electronics.

In The Last Decade

Renquan Lu

196 papers receiving 10.2k citations

Hit Papers

Adaptive finite-time tracking control of full state const... 2015 2026 2018 2022 2018 2016 2017 2015 2018 100 200 300 400

Peers

Renquan Lu
Renquan Lu
Citations per year, relative to Renquan Lu Renquan Lu (= 1×) peers Guangdeng Zong

Countries citing papers authored by Renquan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Renquan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renquan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Renquan Lu. A scholar is included among the top collaborators of Renquan Lu 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 Renquan Lu. Renquan Lu 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.
Lv, Weijun, Chang Liu, Yong Xu, Renquan Lu, & Ling Shi. (2025). Gaussian framework for nonlinear state estimation with stochastic event-trigger and packet losses. Automatica. 175. 112220–112220. 1 indexed citations
2.
Liu, Yufa, et al.. (2025). Adaptive neural network tracking control for unknown high-order nonlinear systems: A constructive approximation set based approach. Engineering Applications of Artificial Intelligence. 162. 112371–112371.
3.
Liu, Chang, et al.. (2023). Bounded synchronization for uncertain master–slave neural networks: An adaptive impulsive control approach. Neural Networks. 162. 288–296. 5 indexed citations
4.
Wang, Xianpeng, et al.. (2023). Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space. Swarm and Evolutionary Computation. 77. 101230–101230. 17 indexed citations
5.
Li, Xiaomeng, et al.. (2023). Vision-based adaptive fixed-time uncooperative target tracking for QUAV with unknown disturbances. Journal of the Franklin Institute. 360(16). 12394–12414. 7 indexed citations
6.
Li, Junyi, Zidong Wang, Renquan Lu, & Yong Xu. (2022). Distributed Filtering Under Constrained Bit Rate Over Wireless Sensor Networks: Dealing With Bit Rate Allocation Protocol. IEEE Transactions on Automatic Control. 68(3). 1642–1654. 23 indexed citations
7.
Ye, Yanyan, et al.. (2021). Containment Control for Networked Fractional-Order Systems With Sampled Position Data. IEEE Transactions on Circuits and Systems I Regular Papers. 68(9). 3881–3889. 16 indexed citations
8.
Li, Junyi, Zidong Wang, Renquan Lu, & Yong Xu. (2021). Partial-Nodes-Based State Estimation for Complex Networks With Constrained Bit Rate. IEEE Transactions on Network Science and Engineering. 8(2). 1887–1899. 38 indexed citations
9.
Li, Junyi, Bin Zhang, Renquan Lu, Yong Xu, & Tingwen Huang. (2019). Distributed H State Estimator Design for Time-Delay Periodic Systems Over Scheduling Sensor Networks. IEEE Transactions on Cybernetics. 51(1). 462–472. 40 indexed citations
10.
Xu, Yong, et al.. (2019). Quasi-Synchronization for Periodic Neural Networks With Asynchronous Target and Constrained Information. IEEE Transactions on Systems Man and Cybernetics Systems. 51(7). 4379–4388. 28 indexed citations
11.
Xu, Yong, Junyi Li, Renquan Lu, Chang Liu, & Yuanqing Wu. (2018). Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case. IEEE Transactions on Neural Networks and Learning Systems. 30(6). 1695–1704. 62 indexed citations
12.
Li, Junyi, Bin Zhang, Renquan Lu, & Yong Xu. (2018). Robust Distributed H State Estimation for Stochastic Periodic Systems Over Constraint Sensor Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 50(11). 4396–4407. 16 indexed citations
13.
Wu, Zheng‐Guang, Ying Shen, Hongye Su, Renquan Lu, & Tingwen Huang. (2017). $\mathcal H_{2}$ Performance Analysis and Applications of 2-D Hidden Bernoulli Jump System. IEEE Transactions on Systems Man and Cybernetics Systems. 49(10). 2097–2107. 22 indexed citations
14.
Wu, Yuanqing, Renquan Lu, Peng Shi, Hongye Su, & Zheng‐Guang Wu. (2017). Analysis and Design of Synchronization for Heterogeneous Network. IEEE Transactions on Cybernetics. 48(4). 1253–1262. 38 indexed citations
15.
Wu, Yuanqing, Renquan Lu, Peng Shi, Hongye Su, & Zheng‐Guang Wu. (2017). Sampled-Data Synchronization of Complex Networks With Partial Couplings and T–S Fuzzy Nodes. IEEE Transactions on Fuzzy Systems. 26(2). 782–793. 89 indexed citations
16.
Wu, Zheng‐Guang, Yong Xu, Renquan Lu, Yuanqing Wu, & Tingwen Huang. (2017). Event-Triggered Control for Consensus of Multiagent Systems With Fixed/Switching Topologies. IEEE Transactions on Systems Man and Cybernetics Systems. 48(10). 1736–1746. 354 indexed citations breakdown →
17.
Wu, Zheng‐Guang, Shanling Dong, Peng Shi, et al.. (2017). Fuzzy-Model-Based Nonfragile Guaranteed Cost Control of Nonlinear Markov Jump Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 47(8). 2388–2397. 176 indexed citations
18.
Wu, Yuanqing, Hongye Su, Renquan Lu, Zheng‐Guang Wu, & Zhan Shu. (2015). Passivity-based non-fragile control for Markovian jump systems with aperiodic sampling. Systems & Control Letters. 84. 35–43. 94 indexed citations
19.
Lu, Renquan, Yong Xu, Xiaodong Zhao, Dongliang Peng, & Anke Xue. (2009). Delay-dependent H ∞ filtering for nonlinear singular systems with network-induced delays. Asian Control Conference. 600–604. 1 indexed citations
20.
Lu, Renquan. (2004). New absolute stability and stabilization conditions for a class of Lur'e uncertain time-delay systems. Journal of Zhejiang University(Engineering Science). 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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