World's Best Scientists 2026 revealed!
Alan Wee-Chung Liew

Alan Wee-Chung Liew

D-Index & Metrics

Computer Science

D-Index
46
Citations
7341
World Ranking
6920
National Ranking
220

Alan Wee-Chung Liew 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 Alan Wee-Chung Liew 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: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Alan Wee-Chung Liew 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 Alan Wee-Chung Liew 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Alan Wee-Chung Liew is affiliated with Griffith University in Australia and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research covers various subfields including computer vision and pattern recognition, electrical and electronic engineering, information systems, as well as management science and operations research.

Their work encompasses several key research topics such as data stream mining techniques, recommender systems and techniques, privacy-preserving technologies in data, anomaly detection techniques and applications, topic modeling, energy load and power forecasting, and advanced graph neural networks.

Alan Wee-Chung Liew has published in a range of venues, frequently contributing to:

  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Fuzzy Systems
  • IEEE Access

Their recent papers include:

  • A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast, 2021, IEEE Access
  • Preventing DeepFake Attacks on Speaker Authentication by Dynamic Lip Movement Analysis, 2020, IEEE Transactions on Information Forensics and Security
  • A Survey of Machine Unlearning, 2022, arXiv (Cornell University)
  • LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification, 2024, IEEE Transactions on Geoscience and Remote Sensing
  • An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification, 2023, IEEE Transactions on Neural Networks and Learning Systems

The scientist collaborates with several frequent coauthors, including:

  • Tien Thanh Nguyen
  • Shirui Pan
  • Shilin Wang
  • John McCall
  • Hui Tian

The range of their scientific contributions spans 123 publications in computer science, with 75 focusing specifically on artificial intelligence. Their interdisciplinary research bridges theoretical development and practical applications in multiple domains aligned with evolving technological advancements.

Best Publications

  • An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation

    A.W.C. Liew;Hong Yan

  • General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling

    Benson S Y Lam;Yongsheng Gao;Alan Wee-Chung Liew

  • Fuzzy image clustering incorporating spatial continuity

    Alan Wee-Chung Liew;Shu Hung Leung;Wing Hong Lau

  • Missing value imputation for gene expression data: computational techniques to recover missing data from available information

    AlanWee Chung Liew;Ngai Fong Law;Hong Yan

  • Segmentation of color lip images by spatial fuzzy clustering

    A.W.-C. Liew;Shu Hung Leung;Wing Hong Lau

  • Blocking artifacts suppression in block-coded images using overcomplete wavelet representation

    A.W.-C. Liew;Hong Yan

  • Current Methods in the Automatic Tissue Segmentation of 3D Magnetic Resonance Brain Images

    Alan Wee-Chung Liew;Hong Yan

  • Pattern recognition techniques for the emerging field of bioinformatics: A review

    Alan Wee-Chung Liew;Hong Yan;Mengsu Yang

  • Cluster analysis of gene expression data based on self-splitting and merging competitive learning

    Shuanhu Wu;A.W.-C. Liew;Hong Yan;Mengsu Yang

  • Sequence-based prediction of protein-peptide binding sites using support vector machine.

    Ghazaleh Taherzadeh;Yuedong Yang;Tuo Zhang;Alan Wee-Chung Liew

  • A Survey of Machine Unlearning

    Unknown

  • Discovering biclusters in gene expression data based on high-dimensional linear geometries

    Xiangchao Gan;Alan Wee-Chung Liew;Hong Yan;Hong Yan

  • Missing value imputation for the analysis of incomplete traffic accident data

    Rupam Deb;Alan Wee-Chung Liew

  • Microarray missing data imputation based on a set theoretic framework and biological knowledge

    Xiangchao Gan;Alan Wee-Chung Liew;Hong Yan

  • Image segmentation based on adaptive cluster prototype estimation

    A.W.-C. Liew;Hong Yan;N.F. Law

  • Structure-based prediction of protein- peptide binding regions using Random Forest.

    Ghazaleh Taherzadeh;Yaoqi Zhou;Alan Wee-Chung Liew;Yuedong Yang;Yuedong Yang

  • Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization

    Kin-on Cheng;Ngai-fong Bonnie Law;Wan-chi Siu;Alan Wee-chung Liew

  • DB-Curve: a novel 2D method of DNA sequence visualization and representation

    Yonghui Wu;Alan Wee-Chung Liew;Hong Yan;Hong Yan;Mengsu Yang

  • Lip Contour Extraction from Color Images Using a Deformable Model

    Alan Wee-Chung Liew;Shu Hung Leung;Wing Hong Lau

  • Robust adaptive spot segmentation of DNA microarray images

    Alan Wee-Chung Liew;Hong Yan;Mengsu Yang

  • Gene expression data clustering and visualization based on a binary hierarchical clustering framework

    Lap Keung Szeto;Alan Wee-Chung Liew;Hong Yan;Hong Yan;Sy-sen Tang

  • Visual Speech Recognition: Lip Segmentation and Mapping

    Alan Wee-Chung Liew;Shilin Wang

  • Spectral estimation in unevenly sampled space of periodically expressed microarray time series data

    Alan Wee-Chung Liew;Jun Xian;Jun Xian;Shuanhu Wu;Shuanhu Wu;David Keith Smith

  • Multiconstrained gene clustering based on generalized projections

    Jia Zeng;Jia Zeng;Shanfeng Zhu;Alan Wee-Chung Liew;Hong Yan;Hong Yan

  • General Retinal Vessel Segmentation UsingRegularization-Based Multiconcavity Modeling

    Benson Lam;Yongsheng Gao;Alan Wee-Chung Liew

Frequent Co-Authors

Hong Yan
Hong Yan City University of Hong Kong
Mengsu Yang
Mengsu Yang City University of Hong Kong
Jun Zhou
Jun Zhou Griffith University
Yuedong Yang
Yuedong Yang Sun Yat-sen University
Yaoqi Zhou
Yaoqi Zhou Griffith University
Witold Pedrycz
Witold Pedrycz University of Alberta
Xiuping Jia
Xiuping Jia University of New South Wales
Wan-Chi Siu
Wan-Chi Siu Hong Kong Polytechnic University
Qinghua Huang
Qinghua Huang Northwestern Polytechnical University
Chang-Tsun Li
Chang-Tsun Li Deakin University

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