H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 52 Citations 7,555 306 World Ranking 2635 National Ranking 68

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

The scientist’s investigation covers issues in Artificial intelligence, Artificial neural network, Fuzzy logic, Machine learning and Pattern recognition. The concepts of his Artificial intelligence study are interwoven with issues in Particle swarm optimization and Premature convergence. In general Artificial neural network study, his work on Time delay neural network, Probabilistic neural network, Hybrid neural network and Supervised learning often relates to the realm of Dissolution testing, thereby connecting several areas of interest.

The concepts of his Fuzzy logic study are interwoven with issues in Decision tree, Data mining, Data classification, Fault detection and isolation and Failure mode and effects analysis. His work deals with themes such as Keystroke dynamics and Condition monitoring, which intersect with Machine learning. His Pattern recognition research is multidisciplinary, incorporating elements of Image processing, Fuzzy set, Typing and Medical diagnosis.

His most cited work include:

  • Fuzzy FMEA with a guided rules reduction system for prioritization of failures (173 citations)
  • A hybrid intelligent system for medical data classification (156 citations)
  • A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition (141 citations)

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

His main research concerns Artificial intelligence, Artificial neural network, Fuzzy logic, Machine learning and Data mining. His work is dedicated to discovering how Artificial intelligence, Pattern recognition are connected with Particle swarm optimization and other disciplines. His Artificial neural network study which covers Fault detection and isolation that intersects with Induction motor.

His Fuzzy logic research is multidisciplinary, incorporating perspectives in Genetic algorithm, Mathematical optimization, Failure mode and effects analysis and Monotonic function. Chee Peng Lim has researched Machine learning in several fields, including Neuro-fuzzy, Decision support system and Data set. His research integrates issues of Fuzzy set operations and Fuzzy classification in his study of Data mining.

He most often published in these fields:

  • Artificial intelligence (54.07%)
  • Artificial neural network (40.99%)
  • Fuzzy logic (34.81%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial neural network (40.99%)
  • Artificial intelligence (54.07%)
  • Fuzzy logic (34.81%)

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

His primary areas of study are Artificial neural network, Artificial intelligence, Fuzzy logic, Applied mathematics and Pattern recognition. His Artificial neural network research integrates issues from Stability, Control theory and Exponential stability. He has included themes like Machine learning and Particle swarm optimization in his Artificial intelligence study.

His work on Supervised learning as part of general Machine learning research is frequently linked to Zero shot learning, bridging the gap between disciplines. The various areas that Chee Peng Lim examines in his Fuzzy logic study include Motion and Interval. His Pattern recognition research includes elements of Outlier and Cluster analysis.

Between 2018 and 2021, his most popular works were:

  • Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization (35 citations)
  • Feature selection based on brain storm optimization for data classification (31 citations)
  • An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem (29 citations)

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

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

Artificial intelligence, Artificial neural network, Pattern recognition, Feature selection and Particle swarm optimization are his primary areas of study. His study in Data classification, Fuzzy logic, Benchmark, Reinforcement learning and Local optimum are all subfields of Artificial intelligence. His biological study spans a wide range of topics, including Incremental learning, Genetic algorithm, Machine learning and Swarm intelligence.

The study incorporates disciplines such as Stability, Exponential stability and Applied mathematics in addition to Artificial neural network. His Pattern recognition study combines topics in areas such as Outlier, Cluster analysis and Medical imaging. Chee Peng Lim combines subjects such as Feature and Curse of dimensionality with his study of Feature selection.

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

Fuzzy FMEA with a guided rules reduction system for prioritization of failures

Kai Meng Tay;Chee Peng Lim.
International Journal of Quality & Reliability Management (2006)

293 Citations

A hybrid intelligent system for medical data classification

Manjeevan Seera;Chee Peng Lim.
Expert Systems With Applications (2014)

272 Citations

A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition

Kamlesh Mistry;Li Zhang;Siew Chin Neoh;Chee Peng Lim.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

197 Citations

Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM–CART Model

M. Seera;Chee Peng Lim;D. Ishak;H. Singh.
IEEE Transactions on Neural Networks (2012)

177 Citations

Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

Shanmugam Lakshmanan;Mani Prakash;Chee Peng Lim;Rajan Rakkiyappan.
IEEE Transactions on Neural Networks (2018)

155 Citations

A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification

Anas Quteishat;Chee Peng Lim.
soft computing (2008)

153 Citations

Credit Card Fraud Detection Using AdaBoost and Majority Voting

Kuldeep Randhawa;Chu Kiong Loo;Manjeevan Seera;Chee Peng Lim.
IEEE Access (2018)

119 Citations

An incremental adaptive network for on-line supervised learning and probability estimation

Chee Peng Lim;Robert F. Harrison.
Neural Networks (1997)

116 Citations

Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models

Manjeevan Seera;Chee Peng Lim;Saeid Nahavandi;Chu Kiong Loo.
Expert Systems With Applications (2014)

111 Citations

A Modified Fuzzy Min–Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification

Anas Quteishat;Chee Peng Lim;Kay Sin Tan.
systems man and cybernetics (2010)

101 Citations

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Best Scientists Citing Chee Peng Lim

Saeid Nahavandi

Saeid Nahavandi

Deakin University

Publications: 48

Hu-Chen Liu

Hu-Chen Liu

Tongji University

Publications: 24

Jinde Cao

Jinde Cao

Southeast University

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Abbas Khosravi

Abbas Khosravi

Deakin University

Publications: 17

Edwin Lughofer

Edwin Lughofer

Johannes Kepler University of Linz

Publications: 15

Jian-Xin You

Jian-Xin You

Tongji University

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Robert Sabourin

Robert Sabourin

École de Technologie Supérieure

Publications: 13

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 12

Ali Asghar Heidari

Ali Asghar Heidari

National University of Singapore

Publications: 10

Kim Hua Tan

Kim Hua Tan

University of Nottingham

Publications: 9

Cesare Alippi

Cesare Alippi

Politecnico di Milano

Publications: 8

Robi Polikar

Robi Polikar

Rowan University

Publications: 8

Mohamed Benbouzid

Mohamed Benbouzid

Centre national de la recherche scientifique, CNRS

Publications: 7

Tingwen Huang

Tingwen Huang

Texas A&M University at Qatar

Publications: 7

U. Rajendra Acharya

U. Rajendra Acharya

Ngee Ann Polytechnic

Publications: 7

Mohamed Abd Elaziz

Mohamed Abd Elaziz

Zagazig University

Publications: 7

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