Guoqiang Hu

15.3k total citations · 9 hit papers
329 papers, 11.4k citations indexed

About

Guoqiang Hu is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Guoqiang Hu has authored 329 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Computer Networks and Communications, 142 papers in Control and Systems Engineering and 71 papers in Electrical and Electronic Engineering. Recurrent topics in Guoqiang Hu's work include Distributed Control Multi-Agent Systems (124 papers), Neural Networks Stability and Synchronization (59 papers) and Adaptive Control of Nonlinear Systems (37 papers). Guoqiang Hu is often cited by papers focused on Distributed Control Multi-Agent Systems (124 papers), Neural Networks Stability and Synchronization (59 papers) and Adaptive Control of Nonlinear Systems (37 papers). Guoqiang Hu collaborates with scholars based in Singapore, China and United States. Guoqiang Hu's co-authors include Maojiao Ye, Zhi Feng, Xiwang Dong, Costas J. Spanos, Guanghui Wen, Warren E. Dixon, He Cai, Chao Sun, Bo Chen and Yu Wang and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

In The Last Decade

Guoqiang Hu

307 papers receiving 11.2k citations

Hit Papers

Can the green credit poli... 2011 2026 2016 2021 2021 2017 2016 2016 2012 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China
    2021 590 citations Guoqiang Hu et al. profile →
  2. Time-Varying Formation Tracking for Linear Multiagent Systems With Multiple Leaders
    2017 438 citations Xiwang Dong, Guoqiang Hu IEEE Transactions on Automatic Control profile →
  3. Time-varying formation control for general linear multi-agent systems with switching directed topologies
    2016 407 citations Xiwang Dong, Guoqiang Hu Automatica profile →
  4. The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems
    2016 338 citations Guoqiang Hu et al. Automatica profile →
  5. Cloud robotics: architecture, challenges and applications
    2012 337 citations Guoqiang Hu et al. profile →
  6. Distributed Nash Equilibrium Seeking by a Consensus Based Approach
    2017 320 citations Maojiao Ye, Guoqiang Hu IEEE Transactions on Automatic Control profile →
  7. Robust consensus tracking of a class of second-order multi-agent dynamic systems
    2011 275 citations Guoqiang Hu profile →
  8. Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks
    2019 273 citations Zhi Feng, Guoqiang Hu profile →
  9. Secure Fusion Estimation for Bandwidth Constrained Cyber-Physical Systems Under Replay Attacks
    2017 263 citations Bo Chen, Daniel W. C. Ho et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoqiang Hu Singapore 56 6.6k 5.9k 2.0k 1.1k 1.1k 329 11.4k
Jeff S. Shamma United States 39 2.1k 0.3× 4.8k 0.8× 946 0.5× 1.3k 1.1× 971 0.9× 201 8.7k
Hao Shen China 70 9.6k 1.5× 10.9k 1.9× 2.3k 1.1× 311 0.3× 2.0k 1.8× 559 16.4k
John Lygeros Switzerland 59 2.1k 0.3× 6.3k 1.1× 2.9k 1.5× 1.7k 1.5× 1.3k 1.1× 523 13.5k
Jiangping Hu China 39 5.4k 0.8× 3.1k 0.5× 1.2k 0.6× 374 0.3× 598 0.5× 183 7.5k
Christos G. Cassandras United States 46 3.1k 0.5× 3.5k 0.6× 1.4k 0.7× 544 0.5× 801 0.7× 395 9.9k
Jiming Chen China 67 9.8k 1.5× 4.4k 0.7× 9.0k 4.6× 1.2k 1.1× 2.4k 2.2× 609 18.4k
Kimon P. Valavanis United States 42 1.3k 0.2× 2.6k 0.4× 784 0.4× 3.0k 2.7× 1.1k 1.0× 332 7.8k
Jie Cao China 44 1.7k 0.3× 1.3k 0.2× 694 0.4× 484 0.4× 1.9k 1.7× 298 6.3k
Jean‐Pierre Hubaux Switzerland 66 14.6k 2.2× 894 0.2× 10.5k 5.3× 349 0.3× 5.8k 5.2× 301 20.9k
Chengzhong Xu China 55 6.0k 0.9× 889 0.2× 1.7k 0.9× 387 0.3× 2.1k 1.9× 574 11.1k

Countries citing papers authored by Guoqiang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Guoqiang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqiang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiang Hu. A scholar is included among the top collaborators of Guoqiang Hu 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 Guoqiang Hu. Guoqiang Hu 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.
Zhang, Wentao, Zhiqiang Zuo, Rui Zhao, et al.. (2025). When Shannon Meets Nonstochastic Information: Communication and Estimation. IEEE Transactions on Automatic Control. 70(8). 5444–5451. 1 indexed citations
2.
Hu, Guoqiang, et al.. (2024). Scalable Learning for Multiagent Route Planning: Adapting to Diverse Task Scales. IEEE Transactions on Artificial Intelligence. 5(10). 4996–5011. 1 indexed citations
3.
Xing, Xueyan, et al.. (2024). Activator-Based Economical Distributed Fault-Tolerant Control Against Possible Actuator Outages With Guaranteed Performance. IEEE Transactions on Automation Science and Engineering. 22. 6503–6517.
4.
Hu, Guoqiang, et al.. (2024). Duality-Based Distributed Optimization With Communication Delays in Multicluster Networks. IEEE Transactions on Automatic Control. 70(3). 1867–1874. 1 indexed citations
5.
Duan, Lingjie, Jun Luo, C. M. Wong, et al.. (2023). August 2023 Conference Calendar [Conference Calendar]. IEEE Control Systems. 43(4). C3–C3.
6.
Feng, Zhi, Guoqiang Hu, Xiwang Dong, & Jinhu Lü. (2023). Discrete-time adaptive distributed output observer for time-varying formation tracking of heterogeneous multi-agent systems. Automatica. 160. 111400–111400. 17 indexed citations
7.
Sun, Chao, et al.. (2023). A Distributed Optimization Approach for Collaborative Object Lifting Using Multiple Aerial Robots. Unmanned Systems. 12(2). 305–321.
8.
Feng, Zhi, Guoqiang Hu, Xiwang Dong, & Jinhu Lü. (2023). Settling-Time Estimation for Finite-Time Connectivity-Preserving Rendezvous of Networked Uncertain Euler-Lagrange Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 54(3). 1527–1540. 6 indexed citations
9.
Feng, Zhi, Guoqiang Hu, Xiwang Dong, & Jinhu Lü. (2023). Adaptively Distributed Nash Equilibrium Seeking of Noncooperative Games for Uncertain Heterogeneous Linear Multi-Agent Systems. IEEE Transactions on Network Science and Engineering. 1–10. 19 indexed citations
10.
Hu, Guoqiang, et al.. (2023). Composite Optimization With Coupling Constraints via Penalized Proximal Gradient Method in Asynchronous Networks. IEEE Transactions on Automatic Control. 69(1). 69–84. 4 indexed citations
11.
Dong, Xiwang, Yangfan Li, Chuang Lu, et al.. (2018). Time-Varying Formation Tracking for UAV Swarm Systems With Switching Directed Topologies. IEEE Transactions on Neural Networks and Learning Systems. 30(12). 3674–3685. 164 indexed citations
12.
Chen, Bo, Daniel W. C. Ho, Guoqiang Hu, & Li Yu. (2018). Delay-Dependent Distributed Kalman Fusion Estimation with Dimensionality Reduction in Cyber-Physical Systems. arXiv (Cornell University). 26 indexed citations
13.
Jiang, Yaling, et al.. (2018). Discovery of vanadium complexes bearing tridentate schiff base ligands as novel LSD1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 29(4). 681–683. 9 indexed citations
14.
Nguyen, Linh, Guoqiang Hu, & Costas J. Spanos. (2018). Efficient Sensor Deployments for Spatio-Temporal Environmental Monitoring. IEEE Transactions on Systems Man and Cybernetics Systems. 50(12). 5306–5316. 28 indexed citations
15.
16.
Wen, Guanghui, Ying Wan, Wenwu Yu, & Guoqiang Hu. (2014). Node-to-node consensus tracking of multi-agent systems with sampled-data communication. 1231–1235. 5 indexed citations
17.
Wen, Guanghui, et al.. (2013). Distributed node-to-node consensus of multi-agent systems with Lur'e node dynamics. Chinese Control Conference. 7314–7319. 9 indexed citations
18.
Hu, Guoqiang, et al.. (2012). Vision-based triangular formation control of mobile robots. Chinese Control Conference. 5146–5151. 3 indexed citations
19.
Hu, Guoqiang, et al.. (2012). Cooperative state estimation in vision-based robot formation control via a consensus method. Chinese Control Conference. 6461–6466. 4 indexed citations
20.
Hu, Guoqiang. (2005). MULTIOBJECTIVE OPTIMIZATION TRANSACTION MODEL INCORPORATING LOAD STATIC VOLTAGE CHARACTERISTICS. Proceedings of the Csee.

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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