H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 36 Citations 4,534 139 World Ranking 2282 National Ranking 254

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Mathematical analysis
  • Topology

Haijun Jiang focuses on Control theory, Artificial neural network, Synchronization, Intermittent control and Synchronization. His biological study focuses on Lyapunov function. His studies in Lyapunov function integrate themes in fields like Mathematical optimization, Control and Consensus, Multi-agent system.

His work deals with themes such as Reaction–diffusion system, Lyapunov functional, Exponential stability, Differential equation and Realization, which intersect with Artificial neural network. His Exponential stability research is multidisciplinary, incorporating perspectives in Equilibrium point, Cellular neural network and Applied mathematics. In his research on the topic of Intermittent control, Stability and Nonlinear system is strongly related with Exponential function.

His most cited work include:

  • Impulsive Control and Synchronization for Delayed Neural Networks With Reaction–Diffusion Terms (171 citations)
  • Finite-time synchronization for memristor-based neural networks with time-varying delays (143 citations)
  • Projective synchronization for fractional neural networks (140 citations)

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

The scientist’s investigation covers issues in Control theory, Artificial neural network, Synchronization, Exponential stability and Applied mathematics. Haijun Jiang brings together Control theory and Synchronization to produce work in his papers. Haijun Jiang has researched Artificial neural network in several fields, including Differential inclusion, Class and Adaptive control.

Synchronization overlaps with fields such as Topology, Complex network, Intermittent control, Finite time and Settling time in his research. His Exponential stability course of study focuses on Equilibrium point and Lyapunov stability and Stability. His Nonlinear system research integrates issues from Consensus and Multi-agent system.

He most often published in these fields:

  • Control theory (62.26%)
  • Artificial neural network (46.70%)
  • Synchronization (34.91%)

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

  • Artificial neural network (46.70%)
  • Synchronization (34.91%)
  • Control theory (62.26%)

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

Haijun Jiang focuses on Artificial neural network, Synchronization, Control theory, Topology and Lyapunov function. The study incorporates disciplines such as Fractional calculus and Interval in addition to Artificial neural network. His Interval research focuses on Exponential stability and how it connects with Matrix analysis, Range, Uniqueness and Cellular neural network.

He works mostly in the field of Control theory, limiting it down to topics relating to Control and, in certain cases, Master system. Haijun Jiang focuses mostly in the field of Topology, narrowing it down to matters related to Digraph and, in some cases, Bipartite graph. His Lyapunov function research includes elements of Optimal control, Partial differential equation and Applied mathematics.

Between 2019 and 2021, his most popular works were:

  • Synchronization of complex-valued dynamic networks with intermittently adaptive coupling: A direct error method (18 citations)
  • Exponential Stability of Fractional-Order Impulsive Control Systems With Applications in Synchronization (18 citations)
  • Edge-Based Fractional-Order Adaptive Strategies for Synchronization of Fractional-Order Coupled Networks With Reaction–Diffusion Terms (17 citations)

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

  • Mathematical analysis
  • Control theory
  • Artificial intelligence

His primary areas of investigation include Artificial neural network, Control theory, Synchronization, Synchronization and Control theory. His Artificial neural network study combines topics in areas such as Sign function, Fractional calculus, Lyapunov function and Topology. His work on Actuator as part of his general Control theory study is frequently connected to Encryption, thereby bridging the divide between different branches of science.

Other disciplines of study, such as Laplace transform, Adaptive control, Applied mathematics and Complex network, are mixed together with his Synchronization studies. His Laplace transform research incorporates elements of Differential equation, Exponential stability, Reduction and Dirac delta function. The Settling time research Haijun Jiang does as part of his general Control theory study is frequently linked to other disciplines of science, such as Sampling, Process and Diffusion, therefore creating a link between diverse domains of science.

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.

Top Publications

Finite-time synchronization for memristor-based neural networks with time-varying delays

Abdujelil Abdurahman;Haijun Jiang;Zhidong Teng.
Neural Networks (2015)

214 Citations

Impulsive Control and Synchronization for Delayed Neural Networks With Reaction–Diffusion Terms

Cheng Hu;Haijun Jiang;Zhidong Teng.
IEEE Transactions on Neural Networks (2010)

209 Citations

Projective synchronization for fractional neural networks

Juan Yu;Cheng Hu;Haijun Jiang;Xiaolin Fan.
Neural Networks (2014)

160 Citations

Adaptive synchronization in an array of linearly coupled neural networks with reaction–diffusion terms and time delays

Kai Wang;Zhidong Teng;Haijun Jiang.
Communications in Nonlinear Science and Numerical Simulation (2012)

144 Citations

α -stability and α -synchronization for fractional-order neural networks

Juan Yu;Cheng Hu;Haijun Jiang.
Neural Networks (2012)

144 Citations

Global eponential stability of cellular neural networks with time-varying coefficients and delays

Haijun Jiang;Zhidong Teng.
Neural Networks (2004)

135 Citations

Finite-time synchronization for fuzzy cellular neural networks with time-varying delays

Abdujelil Abdurahman;Haijun Jiang;Zhidong Teng.
Fuzzy Sets and Systems (2016)

135 Citations

Stability analysis in a class of discrete SIRS epidemic models

Zengyun Hu;Zengyun Hu;Zhidong Teng;Haijun Jiang.
Nonlinear Analysis-real World Applications (2012)

134 Citations

Exponential stabilization and synchronization of neural networks with time-varying delays via periodically intermittent control

Cheng Hu;Juan Yu;Haijun Jiang;Zhidong Teng.
Nonlinearity (2010)

132 Citations

Adaptive synchronization of neural networks with time-varying delay and distributed delay

Kai Wang;Zhidong Teng;Haijun Jiang.
Physica A-statistical Mechanics and Its Applications (2008)

127 Citations

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

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