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Computer Science
Australia
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 69 2006 1943 61 60 420 15013

Chee Peng Lim publications per year

The chart shows the history of publications by Chee Peng Lim between 1978 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chee Peng Lim published across 48 years, from 1978 to 2025, averaging 12.5 papers a year. Output peaked at 47 publications in 2025. 90 of the 599 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1978 to 2025. Vertical axis: number of publications, 0 to 47. Peak 47 publications in 2025. 1978: 1 publication 1979: 0 publications 1980: 1 publication 1981: 0 publications 1982: 1 publication 1983: 0 publications 1984: 1 publication 1985: 2 publications 1986: 1 publication 1987: 1 publication 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 1 publication 1995: 3 publications 1996: 2 publications 1997: 5 publications 1998: 0 publications 1999: 3 publications 2000: 11 publications 2001: 4 publications 2002: 3 publications 2003: 7 publications 2004: 7 publications 2005: 8 publications 2006: 22 publications 2007: 15 publications 2008: 15 publications 2009: 21 publications 2010: 21 publications 2011: 16 publications 2012: 9 publications 2013: 19 publications 2014: 38 publications 2015: 28 publications 2016: 23 publications 2017: 33 publications 2018: 26 publications 2019: 30 publications 2020: 26 publications 2021: 36 publications 2022: 32 publications 2023: 37 publications 2024: 43 publications 2025: 47 publications
1978 2025

599 publications in total across all disciplines

View publications per year as a table
Chee Peng Lim: publications per year, 1978 to 2025
Year Publications
1978 1
1979 0
1980 1
1981 0
1982 1
1983 0
1984 1
1985 2
1986 1
1987 1
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 1
1995 3
1996 2
1997 5
1998 0
1999 3
2000 11
2001 4
2002 3
2003 7
2004 7
2005 8
2006 22
2007 15
2008 15
2009 21
2010 21
2011 16
2012 9
2013 19
2014 38
2015 28
2016 23
2017 33
2018 26
2019 30
2020 26
2021 36
2022 32
2023 37
2024 43
2025 47
Total 599
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 412–421 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94 420
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 68–69 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213 69
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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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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