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
Computer Science D-index 32 Citations 5,306 102 World Ranking 7114 National Ranking 671

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Machine learning

Xingyi Zhang spends much of his time researching Evolutionary algorithm, Evolutionary computation, Multi-objective optimization, Mathematical optimization and Optimization problem. His Evolutionary algorithm study is focused on Machine learning and Artificial intelligence. His work in the fields of Machine learning, such as Test functions for optimization, intersects with other areas such as Source code, Software and Test suite.

His Evolutionary computation research incorporates themes from Time complexity, Algorithm, Sorting, Sorting algorithm and Point. His Inverted generational distance and Pareto principle study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Adaptation and Electronic mail, bridging the gap between disciplines. The various areas that Xingyi Zhang examines in his Optimization problem study include Artificial neural network, Small number, Linear programming and Computational complexity theory.

His most cited work include:

  • A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization (370 citations)
  • PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum] (333 citations)
  • An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization (240 citations)

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

His primary areas of investigation include Evolutionary algorithm, Mathematical optimization, Multi-objective optimization, Optimization problem and Artificial intelligence. His Evolutionary algorithm research focuses on subjects like Algorithm, which are linked to Theoretical computer science. His studies in Mathematical optimization integrate themes in fields like Convergence and Vehicle routing problem.

His research is interdisciplinary, bridging the disciplines of Particle swarm optimization and Multi-objective optimization. Optimization problem is often connected to Tree in his work. Xingyi Zhang has researched Artificial intelligence in several fields, including Machine learning, Pattern recognition and Complex network.

He most often published in these fields:

  • Evolutionary algorithm (55.56%)
  • Mathematical optimization (37.78%)
  • Multi-objective optimization (26.67%)

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

  • Evolutionary algorithm (55.56%)
  • Mathematical optimization (37.78%)
  • Multi-objective optimization (26.67%)

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

His scientific interests lie mostly in Evolutionary algorithm, Mathematical optimization, Multi-objective optimization, Optimization problem and Benchmark. The concepts of his Evolutionary algorithm study are interwoven with issues in Evolutionary computation, Scale, Artificial neural network and Curse of dimensionality. His work deals with themes such as Routing and Vehicle routing problem, which intersect with Mathematical optimization.

His studies deal with areas such as Node and Convergence as well as Multi-objective optimization. Xingyi Zhang combines subjects such as Sorting, Machine learning, Tree and Artificial intelligence with his study of Optimization problem. The various areas that Xingyi Zhang examines in his Benchmark study include Algorithm, Selection, Multiobjective optimization problem and Complex network.

Between 2019 and 2021, his most popular works were:

  • Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer (34 citations)
  • An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems (29 citations)
  • A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks (21 citations)

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

  • Artificial intelligence
  • Algorithm
  • Machine learning

Xingyi Zhang focuses on Evolutionary algorithm, Benchmark, Mathematical optimization, Multi-objective optimization and Selection. His Evolutionary algorithm research is multidisciplinary, incorporating perspectives in Evolutionary computation, Optimization problem and Artificial neural network. His research investigates the connection between Evolutionary computation and topics such as Convergence that intersect with problems in Multiobjective optimization problem and Range.

In his study, Curse of dimensionality and Subspace topology is strongly linked to Algorithm, which falls under the umbrella field of Benchmark. His study on Swarm behaviour is often connected to Diversity as part of broader study in Mathematical optimization. His work carried out in the field of Multi-objective optimization brings together such families of science as Division, Particle swarm optimization, Estimation of distribution algorithm and Cluster analysis.

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

A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

Xingyi Zhang;Ye Tian;Yaochu Jin.
IEEE Transactions on Evolutionary Computation (2015)

383 Citations

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin.
IEEE Computational Intelligence Magazine (2017)

351 Citations

An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization

Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin.
IEEE Transactions on Evolutionary Computation (2015)

296 Citations

An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility

Ye Tian;Ran Cheng;Xingyi Zhang;Fan Cheng.
IEEE Transactions on Evolutionary Computation (2018)

233 Citations

A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization

Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin.
IEEE Transactions on Evolutionary Computation (2018)

220 Citations

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization.

Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin.
arXiv: Neural and Evolutionary Computing (2017)

168 Citations

On the Universality of Axon P Systems

Xingyi Zhang;Linqiang Pan;Andrei Paun.
IEEE Transactions on Neural Networks (2015)

167 Citations

A benchmark test suite for evolutionary many-objective optimization

Ran Cheng;Miqing Li;Ye Tian;Xingyi Zhang.
Complex & Intelligent Systems (2017)

151 Citations

Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources

Tseren-Onolt Ishdorj;Alberto Leporati;Linqiang Pan;Xiangxiang Zeng.
Theoretical Computer Science (2010)

142 Citations

Spiking neural p systems with thresholds

Xiangxiang Zeng;Xingyi Zhang;Tao Song;Linqiang Pan.
Neural Computation (2014)

115 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Xingyi Zhang

Linqiang Pan

Linqiang Pan

Huazhong University of Science and Technology

Publications: 71

Hisao Ishibuchi

Hisao Ishibuchi

Southern University of Science and Technology

Publications: 49

Yaochu Jin

Yaochu Jin

University of Surrey

Publications: 49

Xiangxiang Zeng

Xiangxiang Zeng

Hunan University

Publications: 38

Mario J. Pérez-Jiménez

Mario J. Pérez-Jiménez

University of Seville

Publications: 35

Carlos A. Coello Coello

Carlos A. Coello Coello

CINVESTAV

Publications: 31

Shengxiang Yang

Shengxiang Yang

De Montfort University

Publications: 27

Dunwei Gong

Dunwei Gong

China University of Mining and Technology

Publications: 24

Gary G. Yen

Gary G. Yen

Oklahoma State University

Publications: 21

Quan Zou

Quan Zou

University of Electronic Science and Technology of China

Publications: 17

Xin Yao

Xin Yao

Southern University of Science and Technology

Publications: 17

Jun Zhang

Jun Zhang

Chinese Academy of Sciences

Publications: 15

Kalyanmoy Deb

Kalyanmoy Deb

Michigan State University

Publications: 14

Mohamed Abd Elaziz

Mohamed Abd Elaziz

Zagazig University

Publications: 12

Qingfu Zhang

Qingfu Zhang

City University of Hong Kong

Publications: 12

Liang Gao

Liang Gao

Huazhong University of Science and Technology

Publications: 12

Something went wrong. Please try again later.