H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 37 Citations 5,172 167 World Ranking 5206 National Ranking 491

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Quantum mechanics
  • Computer network

His scientific interests lie mostly in Control theory, Mathematical optimization, Memristor, Economic dispatch and Synchronization. His research in Control theory intersects with topics in Chaotic ant swarm and Identification. Many of his studies on Mathematical optimization involve topics that are commonly interrelated, such as Chaotic.

His Memristor research is multidisciplinary, incorporating perspectives in Artificial neural network and Lyapunov functional. His Artificial neural network study combines topics from a wide range of disciplines, such as Differential inclusion, Type and Synchronization. Lixiang Li has included themes like Evolutionary algorithm, Chaotic particle swarm optimization and Fuzzy control system in his Economic dispatch study.

His most cited work include:

  • CHAOTIC PARTICLE SWARM OPTIMIZATION FOR ECONOMIC DISPATCH CONSIDERING THE GENERATOR CONSTRAINTS (228 citations)
  • A multi-objective chaotic particle swarm optimization for environmental/economic dispatch (159 citations)
  • Parameters identification of chaotic systems via chaotic ant swarm (116 citations)

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

Lixiang Li mainly focuses on Control theory, Synchronization, Artificial neural network, Chaotic and Memristor. He works mostly in the field of Control theory, limiting it down to topics relating to Synchronization and, in certain cases, Lyapunov stability, as a part of the same area of interest. Lixiang Li combines subjects such as Stability, Lag and Settling time with his study of Artificial neural network.

As part of the same scientific family, Lixiang Li usually focuses on Chaotic, concentrating on Mathematical optimization and intersecting with Economic dispatch. Lixiang Li works mostly in the field of Memristor, limiting it down to topics relating to Differential inclusion and, in certain cases, Computational intelligence. His work in Optimization problem covers topics such as Swarm intelligence which are related to areas like Artificial intelligence.

He most often published in these fields:

  • Control theory (25.20%)
  • Synchronization (17.32%)
  • Artificial neural network (16.54%)

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

  • Artificial neural network (16.54%)
  • Control theory (25.20%)
  • Synchronization (17.32%)

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

His primary areas of investigation include Artificial neural network, Control theory, Synchronization, Memristor and Encryption. His work deals with themes such as Leakage, Lag and Synchronization, which intersect with Artificial neural network. As a member of one scientific family, he mostly works in the field of Synchronization, focusing on Control theory and, on occasion, Linear matrix inequality.

His research investigates the link between Control theory and topics such as Correctness that cross with problems in Verifiable secret sharing. He has researched Memristor in several fields, including Finite time, Projective synchronization, Cellular neural network, Fuzzy logic and Topology. His Encryption study also includes

  • Compressed sensing which intersects with area such as Secure transmission, Matrix multiplication and Matrix,
  • Real-time computing which connect with Data transmission, Key space, Overhead, Hash function and Chaotic.

Between 2017 and 2021, his most popular works were:

  • Propagation analysis and prediction of the COVID-19 (90 citations)
  • Particle swarm optimizer with crossover operation (56 citations)
  • Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks (55 citations)

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

  • Artificial intelligence
  • Quantum mechanics
  • Computer network

Lixiang Li mostly deals with Control theory, Synchronization, Artificial neural network, Memristor and Settling time. His work on Stability as part of general Control theory research is frequently linked to Simple, bridging the gap between disciplines. Many of his Synchronization research pursuits overlap with Lyapunov function and Nonlinear system.

His biological study spans a wide range of topics, including Correctness, Algebraic number and Linear matrix. The concepts of his Memristor study are interwoven with issues in Finite time, Exponential synchronization, System parameters, Cellular neural network and Fuzzy logic. His studies in Settling time integrate themes in fields like Upper and lower bounds and Synchronization.

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

CHAOTIC PARTICLE SWARM OPTIMIZATION FOR ECONOMIC DISPATCH CONSIDERING THE GENERATOR CONSTRAINTS

Jiejin Cai;Xiaoqian Ma;Lixiang Li;Peng Haipeng.
Energy Conversion and Management (2007)

318 Citations

A multi-objective chaotic particle swarm optimization for environmental/economic dispatch

Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li.
Energy Conversion and Management (2009)

204 Citations

Optimum design of fractional order PIλDµ controller for AVR system using chaotic ant swarm

Yinggan Tang;Mingyong Cui;Changchun Hua;Lixiang Li.
Expert Systems With Applications (2012)

163 Citations

Parameters identification of chaotic systems via chaotic ant swarm

Lixiang Li;Yixian Yang;Haipeng Peng;Xiangdong Wang.
Chaos Solitons & Fractals (2006)

158 Citations

Propagation analysis and prediction of the COVID-19

Lixiang Li;Zihang Yang;Zhongkai Dang;Cui Meng.
Infectious Disease Modelling (2020)

146 Citations

Chaotic ant swarm optimization to economic dispatch

Jiejin Cai;Xiaoqian Ma;Lixiang Li;Yixian Yang.
Electric Power Systems Research (2007)

133 Citations

A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects

Jiejin Cai;Qiong Li;Lixiang Li;Haipeng Peng.
Energy Conversion and Management (2012)

133 Citations

A multi-objective chaotic ant swarm optimization for environmental/economic dispatch

Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li.
International Journal of Electrical Power & Energy Systems (2010)

131 Citations

Multiple routes transmitted epidemics on multiplex networks

Dawei Zhao;Lixiang Li;Haipeng Peng;Qun Luo.
Physics Letters A (2014)

121 Citations

Complex networks-based energy-efficient evolution model for wireless sensor networks

Hailin Zhu;Hong Luo;Haipeng Peng;Lixiang Li.
Chaos Solitons & Fractals (2009)

111 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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