H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 128 Citations 72,784 802 World Ranking 11 National Ranking 2

Research.com Recognitions

Awards & Achievements

2015 - Fellow, The World Academy of Sciences

2014 - Member of Academia Europaea

1997 - IEEE Fellow For fundamental contributions to the theory and applications of chaos control and bifurcation analysis.

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Quantum mechanics
  • Artificial intelligence

His primary scientific interests are in Control theory, Chaotic, Topology, Complex network and Synchronization. His Control theory study combines topics in areas such as Synchronization of chaos, CHAOS and Multi-agent system. His research integrates issues of Autonomous system, Attractor and Applied mathematics in his study of Chaotic.

Guanrong Chen combines subjects such as Node, Matrix and Exponential stability with his study of Topology. His Complex network research is multidisciplinary, incorporating elements of Linear matrix inequality, Mathematical optimization, Synchronization networks, Eigenvalues and eigenvectors and Robustness. His work carried out in the field of Synchronization brings together such families of science as Dynamical systems theory, Coupling and Bounded function.

His most cited work include:

  • YET ANOTHER CHAOTIC ATTRACTOR (2067 citations)
  • Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint (1643 citations)
  • A symmetric image encryption scheme based on 3D chaotic cat maps (1541 citations)

What are the main themes of his work throughout his whole career to date?

Guanrong Chen mainly focuses on Control theory, Chaotic, Topology, Nonlinear system and Complex network. His Control theory research is multidisciplinary, relying on both Synchronization of chaos, Synchronization and CHAOS. His Chaotic study integrates concerns from other disciplines, such as Attractor, Applied mathematics and Bifurcation.

His Topology study incorporates themes from Node and Network topology. In his work, Topology and Distributed computing is strongly intertwined with Multi-agent system, which is a subfield of Network topology. His Complex network study frequently draws connections between adjacent fields such as Synchronization networks.

He most often published in these fields:

  • Control theory (40.73%)
  • Chaotic (20.51%)
  • Topology (14.11%)

What were the highlights of his more recent work (between 2017-2021)?

  • Topology (14.11%)
  • Complex network (10.77%)
  • Control theory (40.73%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Topology, Complex network, Control theory, Chaotic and Network topology. The study incorporates disciplines such as Node and Network model in addition to Topology. In his research on the topic of Complex network, Network controllability, Controllability and Algorithm is strongly related with Robustness.

His Control theory study often links to related topics such as Artificial neural network. His Chaotic research focuses on subjects like Attractor, which are linked to Multistability, Memristor and Bifurcation. His study looks at the intersection of Nonlinear system and topics like Multi-agent system with Topology.

Between 2017 and 2021, his most popular works were:

  • Dynamic Analysis of Digital Chaotic Maps via State-Mapping Networks (94 citations)
  • Designing Distributed Specified-Time Consensus Protocols for Linear Multiagent Systems Over Directed Graphs (79 citations)
  • Appointed-time consensus: Accurate and practical designs (75 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Artificial intelligence
  • Mathematical analysis

Guanrong Chen mainly investigates Topology, Control theory, Complex network, Attractor and Chaotic. His Topology research also works with subjects such as

  • Network model and related Robustness, Network controllability, Controllability and Theoretical computer science,
  • Topology which is related to area like Convergence. As a member of one scientific family, Guanrong Chen mostly works in the field of Control theory, focusing on Artificial neural network and, on occasion, Interval and Matrix.

His research in Complex network intersects with topics in Control engineering and Artificial intelligence. Guanrong Chen combines subjects such as Nonlinear dynamical systems and Encryption with his study of Chaotic. His research investigates the connection between Nonlinear system and topics such as Multi-agent system that intersect with problems in Distributed computing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

YET ANOTHER CHAOTIC ATTRACTOR

Guanrong Chen;Tetsushi Ueta.
International Journal of Bifurcation and Chaos (1999)

2993 Citations

A NEW CHAOTIC ATTRACTOR COINED

Jinhu Lü;Guanrong Chen.
International Journal of Bifurcation and Chaos (2002)

2184 Citations

A symmetric image encryption scheme based on 3D chaotic cat maps

Guanrong Chen;Yaobin Mao;Charles K. Chui;Charles K. Chui.
Chaos Solitons & Fractals (2004)

2142 Citations

From Chaos To Order Methodologies, Perspectives and Applications

Guanrong Chen;Xiaoning Dong.
(1998)

1918 Citations

Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint

Zhongkui Li;Zhisheng Duan;Guanrong Chen;Lin Huang.
IEEE Transactions on Circuits and Systems (2010)

1908 Citations

An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination

Yongcan Cao;Wenwu Yu;Wei Ren;Guanrong Chen.
IEEE Transactions on Industrial Informatics (2013)

1676 Citations

Complex networks: small-world, scale-free and beyond

Xiao Fan Wang;Guanrong Chen.
IEEE Circuits and Systems Magazine (2003)

1575 Citations

Brief paper: Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems

Wenwu Yu;Guanrong Chen;Ming Cao.
Automatica (2010)

1455 Citations

Technical communique: Distributed observers design for leader-following control of multi-agent networks

Yiguang Hong;Guanrong Chen;Linda Bushnell.
Automatica (2008)

1375 Citations

Synchronization in scale-free dynamical networks: robustness and fragility

Xiao Fan Wang;Guanrong Chen.
IEEE Transactions on Circuits and Systems I-regular Papers (2002)

1299 Citations

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