World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
10110
World Ranking
3703
National Ranking
496

Kwong-Sak Leung 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 Kwong-Sak Leung 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: 345 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Kwong-Sak Leung 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 Kwong-Sak Leung 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Kwong-Sak Leung is affiliated with the Chinese University of Hong Kong in China and has an extensive publication record primarily in the fields of Medicine and Biochemistry, Genetics, and Molecular Biology. Their research spans several subfields including Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research, and Epidemiology.

Leung's recent publications cover a range of topics, with specific focus on cancer therapies, molecular pathways, and health impacts related to air quality. Notable papers include:

  • The impact of particulate matter air pollution (PM2.5) on atherosclerosis in modernizing China: a report from the CATHAY study (2020, International Journal of Epidemiology)
  • Discovery of a New CDK4/6 and PI3K/AKT Multiple Kinase Inhibitor Aminoquinol for the Treatment of Hepatocellular Carcinoma (2021, Frontiers in Pharmacology)
  • Improving bulk RNA-seq classification by transferring gene signature from single cells in acute myeloid leukemia (2022, Briefings in Bioinformatics)
  • A long non-coding RNA signature for diagnostic prediction of sepsis upon ICU admission (2020, Clinical and Translational Medicine)
  • A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics (2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics)

The scientist has frequently published in venues such as arXiv (Cornell University), Research Square, Frontiers in Pharmacology, International Journal of Epidemiology, and Briefings in Bioinformatics.

Main research topics addressed in their work include:

  • Advanced Breast Cancer Therapies
  • Cancer-related Molecular Pathways
  • Cancer-related Molecular Mechanisms Research
  • Cancer Treatment and Pharmacology
  • Air Quality and Health Impacts
  • Single-cell and Spatial Transcriptomics
  • Sepsis Diagnosis and Treatment

Leung frequently collaborates with several coauthors, including Lixin Cheng, Xubin Zheng, Man-Hon Wong, Zhong-Kun Xia, and Jian-Ge Qiu, with collaboration counts ranging from four to ten publications.

Best Publications

  • A Survey of Crowdsourcing Systems

    Man-Ching Yuen;Irwin King;Kwong-Sak Leung

  • A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems

    Wei Ying Yi;Kin Ming Lo;Terrence Mak;Kwong Sak Leung

  • Data Mining Using Grammar-Based Genetic Programming and Applications

    Man Leung Wong;Kwong Sak Leung

  • Improving AutoDock Vina Using Random Forest: The Growing Accuracy of Binding Affinity Prediction by the Effective Exploitation of Larger Data Sets.

    Hongjian Li;Kwong-Sak Leung;Man-Hon Wong;Pedro J. Ballester

  • Fuzzy concepts in expert systems

    K.S. Leung;W. Lam

  • Convergence analysis of cellular neural networks with unbounded delay

    Zhang Yi;Pheng Ann Heng;Kwong Sak Leung

  • An expanding self-organizing neural network for the traveling salesman problem

    Kwong-Sak Leung;Hui-Dong Jin;Zong-Ben Xu

  • Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.

    Yong Liang;Cheng Liu;Xin-Ze Luan;Kwong-Sak Leung

  • Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization

    Yong Liang;Kwong-Sak Leung

  • An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach

    Man Leung Wong;Kwong Sak Leung

  • Using evolutionary programming and minimum description length principle for data mining of Bayesian networks

    Man Leung Wong;Wai Lam;Kwong Sak Leung

  • Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network

    Pengfei Liu;Hongjian Li;Shuai Li;Kwong-Sak Leung

  • A genetic algorithm for determining nonadditive set functions in information fusion

    Zhenyuan Wang;Kwong-sak Leung;Jia Wang

  • idock: A multithreaded virtual screening tool for flexible ligand docking

    Hongjian Li;Kwong-Sak Leung;Man-Hon Wong

  • Classification by nonlinear integral projections

    Kebin Xu;Zhenyuan Wang;P.-A. Heng;Kwong-Sak Leung

  • istar: a web platform for large-scale protein-ligand docking.

    Hongjian Li;Kwong-Sak Leung;Pedro J. Ballester;Man-Hon Wong

  • An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem

    Hui-Dong Jin;Kwong-Sak Leung;Man-Leung Wong;Z.-B. Xu

  • Task recommendation in crowdsourcing systems

    Man-Ching Yuen;Irwin King;Kwong-Sak Leung

  • Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

    Hongjian Li;Kwong-Sak Leung;Man Hon Wong;Pedro J. Ballester;Pedro J. Ballester

  • Normalization Methods for the Analysis of Unbalanced Transcriptome Data: A Review.

    Xueyan Liu;Nan Li;Sheng Liu;Jun Wang

  • Task Matching in Crowdsourcing

    Man-Ching Yuen;Irwin King;Kwong-Sak Leung

Frequent Co-Authors

Yong Liang
Yong Liang Jianghan University
Yee Leung
Yee Leung Chinese University of Hong Kong
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Stephen Kwok-Wing Tsui
Stephen Kwok-Wing Tsui Chinese University of Hong Kong
Hsiang-Fu Kung
Hsiang-Fu Kung Chinese University of Hong Kong
Irwin King
Irwin King Chinese University of Hong Kong
Wai Lam
Wai Lam Chinese University of Hong Kong
Tony Mok
Tony Mok Chinese University of Hong Kong
Ling Qin
Ling Qin Chinese University of Hong Kong

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