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 50 Citations 6,764 117 World Ranking 1193 National Ranking 130

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Mathematical analysis
  • Algebra

Jinling Liang mainly investigates Control theory, Artificial neural network, Stochastic process, Discrete time and continuous time and Linear matrix inequality. His work on Lyapunov function as part of general Control theory research is frequently linked to Synchronization, thereby connecting diverse disciplines of science. His Artificial neural network research integrates issues from Finite time, Exponential stability, Simple, Bounded function and Function.

His studies examine the connections between Exponential stability and genetics, as well as such issues in Recurrent neural network, with regards to Matrix. His study explores the link between Linear matrix inequality and topics such as Lyapunov functional that cross with problems in Complex system, Topology, Bidirectional associative memory and Time delays. His Stability theory study, which is part of a larger body of work in Nonlinear system, is frequently linked to Regulation of gene expression, bridging the gap between disciplines.

His most cited work include:

  • Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays (425 citations)
  • Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays (290 citations)
  • Exponential stability of high-order bidirectional associative memory neural networks with time delays (195 citations)

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

Jinling Liang focuses on Control theory, Stochastic process, Artificial neural network, Nonlinear system and Exponential stability. Jinling Liang combines subjects such as Matrix and Mathematical optimization with his study of Control theory. His study on Stochastic process is intertwined with other disciplines of science such as Complex network, Probabilistic logic, Discrete time and continuous time, Upper and lower bounds and Bernoulli distribution.

His studies deal with areas such as Algorithm and Filter design as well as Upper and lower bounds. His Artificial neural network research incorporates elements of Equilibrium point, Linear matrix inequality and Measure. His research on Exponential stability often connects related areas such as Applied mathematics.

He most often published in these fields:

  • Control theory (75.13%)
  • Stochastic process (27.41%)
  • Artificial neural network (27.92%)

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

  • Control theory (75.13%)
  • Stochastic process (27.41%)
  • Lyapunov function (14.72%)

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

Control theory, Stochastic process, Lyapunov function, Artificial neural network and Filter are his primary areas of study. He performs multidisciplinary study in Control theory and Dwell time in his work. His work in Stochastic process incorporates the disciplines of Applied mathematics and Matrix.

His Matrix research is multidisciplinary, incorporating elements of Complex system, Lyapunov stability, Boolean function and Stability theory. In his work, Piecewise is strongly intertwined with Markovian switching, which is a subfield of Artificial neural network. His Filter study combines topics in areas such as Algorithm and Upper and lower bounds.

Between 2019 and 2021, his most popular works were:

  • Local Synchronization of Interconnected Boolean Networks With Stochastic Disturbances (16 citations)
  • Robust Finite-Horizon Filtering for 2-D Systems With Randomly Varying Sensor Delays (14 citations)
  • State Estimation for Stochastic Time-Varying Boolean Networks (10 citations)

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

  • Mathematical analysis
  • Control theory
  • Algebra

His scientific interests lie mostly in Upper and lower bounds, Algorithm, Stochastic process, Artificial neural network and Control theory. His work is dedicated to discovering how Algorithm, Filter are connected with Event triggered, Kronecker delta and Robustness and other disciplines. His Stochastic process study spans across into fields like Mathematical induction and Applied mathematics.

His Applied mathematics research is multidisciplinary, incorporating elements of Matrix and Boolean function. The concepts of his Artificial neural network study are interwoven with issues in Differential inequalities and Markovian switching. Jinling Liang undertakes multidisciplinary studies into Control theory and Dwell time in his work.

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

Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays

Yurong Liu;Zidong Wang;Jinling Liang;Xiaohui Liu.
systems man and cybernetics (2008)

471 Citations

Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays

Yurong Liu;Zidong Wang;Jinling Liang;Xiaohui Liu.
IEEE Transactions on Neural Networks (2009)

310 Citations

Exponential stability of high-order bidirectional associative memory neural networks with time delays

Jinde Cao;Jinling Liang;James Lam.
Physica D: Nonlinear Phenomena (2004)

301 Citations

State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case

Jinling Liang;Zidong Wang;Xiaohui Liu.
IEEE Transactions on Neural Networks (2009)

281 Citations

Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks

Jinling Liang;Zidong Wang;Yurong Liu;Xiaohui Liu.
IEEE Transactions on Neural Networks (2008)

270 Citations

Global Synchronization Control of General Delayed Discrete-Time Networks With Stochastic Coupling and Disturbances

Jinling Liang;Zidong Wang;Yurong Liu;Xiaohui Liu.
systems man and cybernetics (2008)

262 Citations

Global exponential stability of reaction–diffusion recurrent neural networks with time-varying delays

Jinling Liang;Jinde Cao.
Physics Letters A (2003)

255 Citations

Synchronization of Coupled Neutral-Type Neural Networks With Jumping-Mode-Dependent Discrete and Unbounded Distributed Delays

Yurong Liu;Zidong Wang;Jinling Liang;Xiaohui Liu.
IEEE Transactions on Systems, Man, and Cybernetics (2013)

244 Citations

A delay fractioning approach to global synchronization of delayed complex networks with stochastic disturbances

Yao Wang;Zidong Wang;Zidong Wang;Jinling Liang.
Physics Letters A (2008)

222 Citations

Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements

Jinling Liang;Zidong Wang;Xiaohui Liu.
IEEE Transactions on Neural Networks (2011)

211 Citations

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Best Scientists Citing Jinling Liang

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