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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
15013
World Ranking
2006
National Ranking
61

Chee Peng Lim publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chee Peng Lim sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 420 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chee Peng Lim D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chee Peng Lim sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Chee Peng Lim is affiliated with Deakin University in Australia, with a research focus spanning the fields of Computer Science and Engineering. Their work also encompasses several subfields including Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The scientist's recent research contributions include several papers with a variety of publication venues and years:

  • "A Review of Generalized Zero-Shot Learning Methods," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer," 2020, IEEE Access
  • "An intelligent payment card fraud detection system," 2021, Annals of Operations Research
  • "A multi-objective deep reinforcement learning framework," 2020, Engineering Applications of Artificial Intelligence
  • "Global Mittag-Leffler Stability and Stabilization Analysis of Fractional-Order Quaternion-Valued Memristive Neural Networks," 2020, Mathematics

Lim has collaborated frequently with several co-authors, including:

  • Saeid Nahavandi
  • Houshyar Asadi
  • Grienggrai Rajchakit
  • Mohammad Reza Chalak Qazani
  • Li Zhang

Their publication record is distributed across multiple venues, illustrating a broad engagement with various scientific audiences. These venues include:

  • arXiv (Cornell University)
  • IEEE Access
  • SSRN Electronic Journal
  • Neural Computing and Applications
  • Mathematics

Lim's contributions to book publications are primarily through Springer Nature, with five titles focusing on artificial intelligence and healthcare among other topics. Some notable book titles include:

  • Handbook of Artificial Intelligence in Healthcare (2021)
  • Artificial Intelligence and Environmental Sustainability (2022)
  • Artificial Intelligence and Machine Learning for Healthcare (2022)
  • Advances in Smart Healthcare Paradigms and Applications (2023)

Their main research themes focus on applied and theoretical aspects of neural networks and control systems. Key topics in Lim's portfolio include:

  • Neural Networks Stability and Synchronization
  • Distributed Control Multi-Agent Systems
  • Aerospace and Aviation Technology
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Stability and Control of Uncertain Systems
  • Nonlinear Dynamics and Pattern Formation

Best Publications

  • Credit Card Fraud Detection Using AdaBoost and Majority Voting

    Kuldeep Randhawa;Chu Kiong Loo;Manjeevan Seera;Chee Peng Lim

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

    Kamlesh Mistry;Li Zhang;Siew Chin Neoh;Chee Peng Lim

  • A hybrid intelligent system for medical data classification

    Manjeevan Seera;Chee Peng Lim

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

    Kai Meng Tay;Chee Peng Lim

  • 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

  • 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

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

    Anas Quteishat;Chee Peng Lim

  • A Review of Situation Awareness Assessment Approaches in Aviation Environments

    Thanh Nguyen;Chee Peng Lim;Ngoc Duy Nguyen;Lee Gordon-Brown

  • Improving K-means clustering with enhanced Firefly Algorithms

    Hailun Xie;Li Zhang;Chee Peng Lim;Yonghong Yu

  • An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images.

    Siew Chin Neoh;Worawut Srisukkham;Li Zhang;Stephen Todryk

  • A new Reinforcement Learning-based Memetic Particle Swarm Optimizer

    Hussein Samma;Chee Peng Lim;Junita Mohamad Saleh

  • An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem

    Shin Siang Choong;Li-Pei Wong;Chee Peng Lim

  • Feature selection using firefly optimization for classification and regression models

    Li Zhang;Kamlesh Mistry;Chee Peng Lim;Siew Chin Neoh

  • 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

  • Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer

    Hailun Xie;Li Zhang;Chee Peng Lim

  • Intelligent facial emotion recognition using moth-firefly optimization

    Li Zhang;Kamlesh Mistry;Siew Chin Neoh;Chee Peng Lim

  • A review of artificial fish swarm algorithms: recent advances and applications

    Unknown

  • Medical image analysis using wavelet transform and deep belief networks

    Amin Khatami;Abbas Khosravi;Thanh Nguyen;Chee Peng Lim

  • Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models

    Teck Yan Tan;Li Zhang;Chee Peng Lim

  • Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization

    Worawut Srisukkham;Li Zhang;Siew Chin Neoh;Stephen Todryk

  • Application of Particle Swarm Optimization to uniform and variable strength covering array construction

    Bestoun S. Ahmed;Kamal Z. Zamli;Chee Peng Lim

  • An Enhanced Fuzzy Min–Max Neural Network for Pattern Classification

    Mohammed Falah Mohammed;Chee Peng Lim

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

    Chee Peng Lim;Robert F. Harrison

  • Handbook on Decision Making

    Lakhmi C. Jain;Chee Peng Lim

  • A Review of Generalized Zero-Shot Learning Methods.

    Farhad Pourpanah;Moloud Abdar;Yuxuan Luo;Xinlei Zhou

Frequent Co-Authors

Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Houshyar Asadi
Houshyar Asadi Deakin University
Abbas Khosravi
Abbas Khosravi Deakin University
Junzo Watada
Junzo Watada Waseda University
Pagavathigounder Balasubramaniam
Pagavathigounder Balasubramaniam Gandhigram Rural Institute
Chen Change Loy
Chen Change Loy Nanyang Technological University
Rajan Rakkiyappan
Rajan Rakkiyappan Bharathiar University
Joshua Ignatius
Joshua Ignatius University of Exeter
Mahardhika Pratama
Mahardhika Pratama University of South Australia

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