D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 57 Citations 9,626 157 World Ranking 720 National Ranking 84

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Statistics

Jianquan Lu mainly investigates Control theory, Synchronization, Artificial neural network, Complex network and Interval. Jianquan Lu has included themes like Structure, Algebraic number and Differential equation in his Control theory study. His Synchronization research includes themes of Chaotic, Small-world network, Lyapunov stability and Stability.

His Artificial neural network study integrates concerns from other disciplines, such as Decomposition method, Quaternion, Random variable and Constant. His work in Complex network tackles topics such as Topology which are related to areas like Boolean circuit, Boolean network, Circuit minimization for Boolean functions, State and And-inverter graph. His Interval research integrates issues from Stochastic process, Sequence, Fraction and Lyapunov function.

His most cited work include:

  • Adaptive synchronization of neural networks with or without time-varying delay. (333 citations)
  • Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy (319 citations)
  • Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances (289 citations)

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

Jianquan Lu focuses on Control theory, Topology, Synchronization, Artificial neural network and Product. The concepts of his Control theory study are interwoven with issues in Interval, Stability and Complex network. His study in Topology is interdisciplinary in nature, drawing from both Matrix, Multi-agent system, Boolean network and Bipartite graph.

The various areas that Jianquan Lu examines in his Synchronization study include Structure, Stochastic process, Chaotic, Simple and Sequence. The study incorporates disciplines such as Impulse and Stability in addition to Artificial neural network. His Product study combines topics in areas such as Control, State, Controllability and Algebraic number.

He most often published in these fields:

  • Control theory (66.67%)
  • Topology (24.60%)
  • Synchronization (23.81%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (66.67%)
  • Topology (24.60%)
  • Artificial neural network (24.21%)

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

Jianquan Lu spends much of his time researching Control theory, Topology, Artificial neural network, Probabilistic logic and Control theory. His work deals with themes such as Control, Interval, Stability and Synchronization, which intersect with Control theory. Jianquan Lu focuses mostly in the field of Topology, narrowing it down to topics relating to Bipartite graph and, in certain cases, Multi-agent system.

His work in Artificial neural network addresses subjects such as Impulse, which are connected to disciplines such as Logarithm. His studies deal with areas such as Time complexity, Algorithm, Finite time and Product as well as Probabilistic logic. His research in Control theory intersects with topics in Computational complexity theory, Banach fixed-point theorem, Fuzzy cellular neural networks, Leakage and Exponential function.

Between 2019 and 2021, his most popular works were:

  • Stabilization of probabilistic Boolean networks via pinning control strategy (43 citations)
  • Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach (33 citations)
  • Asymptotical Stability of Probabilistic Boolean Networks With State Delays (26 citations)

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

  • Control theory
  • Artificial intelligence
  • Statistics

The scientist’s investigation covers issues in Control theory, Topology, Probabilistic logic, Artificial neural network and Synchronization. His research integrates issues of Sequence and Invariant in his study of Control theory. He has researched Topology in several fields, including Digraph and Boolean function.

His Probabilistic logic research incorporates themes from Finite time, Stability, Control, Vertex and Product. Jianquan Lu interconnects Synchronizing, Differential inequalities and Interval in the investigation of issues within Artificial neural network. His Interval research is multidisciplinary, incorporating perspectives in Order and Nonlinear system.

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

Adaptive synchronization of neural networks with or without time-varying delay.

Jinde Cao;Jianquan Lu.
Chaos (2006)

376 Citations

Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy

Jianquan Lu;J. Kurths;Jinde Cao;Nariman Mahdavi.
IEEE Transactions on Neural Networks (2012)

342 Citations

Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances

Jianquan Lu;D W C Ho;Jinde Cao;J Kurths.
IEEE Transactions on Neural Networks (2011)

305 Citations

Stochastic Synchronization of Complex Networks With Nonidentical Nodes Via Hybrid Adaptive and Impulsive Control

Xinsong Yang;Jinde Cao;Jianquan Lu.
IEEE Transactions on Circuits and Systems I-regular Papers (2012)

231 Citations

Adaptive complete synchronization of two identical or different chaotic (hyperchaotic) systems with fully unknown parameters.

Jianquan Lu;Jinde Cao.
Chaos (2005)

211 Citations

Pinning Stabilization of Linearly Coupled Stochastic Neural Networks via Minimum Number of Controllers

Jianquan Lu;D.W.C. Ho;Zidong Wang.
IEEE Transactions on Neural Networks (2009)

195 Citations

Globally Exponential Synchronization and Synchronizability for General Dynamical Networks

Jianquan Lu;D.W.C. Ho.
systems man and cybernetics (2010)

189 Citations

Adaptive synchronization of uncertain dynamical networks with delayed coupling

Jianquan Lu;Jianquan Lu;Jinde Cao.
Nonlinear Dynamics (2008)

189 Citations

On Pinning Controllability of Boolean Control Networks

Jianquan Lu;Jie Zhong;Chi Huang;Jinde Cao.
IEEE Transactions on Automatic Control (2016)

184 Citations

Single impulsive controller for globally exponential synchronization of dynamical networks

Jianquan Lu;Jianquan Lu;Daniel W.C. Ho;Jinde Cao;Jürgen Kurths;Jürgen Kurths;Jürgen Kurths.
Nonlinear Analysis-real World Applications (2013)

182 Citations

Best Scientists Citing Jianquan Lu

Jinde Cao

Jinde Cao

Southeast University

Publications: 306

Tingwen Huang

Tingwen Huang

Texas A&M University at Qatar

Publications: 97

Zidong Wang

Zidong Wang

Brunel University London

Publications: 73

Fuad E. Alsaadi

Fuad E. Alsaadi

King Abdulaziz University

Publications: 67

Chuandong Li

Chuandong Li

Southwest University

Publications: 59

Ju H. Park

Ju H. Park

Yeungnam University

Publications: 57

Shouming Zhong

Shouming Zhong

University of Electronic Science and Technology of China

Publications: 52

Yang Tang

Yang Tang

East China University of Science and Technology

Publications: 51

Daniel W. C. Ho

Daniel W. C. Ho

City University of Hong Kong

Publications: 50

Yang Liu

Yang Liu

Zhejiang Normal University

Publications: 46

Jinling Liang

Jinling Liang

Southeast University

Publications: 42

Wenwu Yu

Wenwu Yu

Southeast University

Publications: 40

Xiaodi Li

Xiaodi Li

Shandong Normal University

Publications: 39

Haijun Jiang

Haijun Jiang

Xinjiang University

Publications: 38

Jürgen Kurths

Jürgen Kurths

Potsdam Institute for Climate Impact Research

Publications: 34

Guanrong Chen

Guanrong Chen

City University of Hong Kong

Publications: 33

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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