World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
18069
World Ranking
2448
National Ranking
42

Limsoon Wong 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 Limsoon Wong 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: 381 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Limsoon Wong 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 Limsoon Wong 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: 65 D-Index — 83rd percentile

83% 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

  • 2013 - ACM Fellow For contributions to database theory and computational biology.

Overview

Limsoon Wong is affiliated with the National University of Singapore in Singapore. Their research primarily spans the field of Biochemistry, Genetics, and Molecular Biology, with 83 publications contributing to this domain.

The scientist's work covers several subfields including Molecular Biology, Artificial Intelligence, Statistics and Probability, Spectroscopy, and Biophysics. Research topics addressed include RNA and protein synthesis mechanisms, gene expression and cancer classification, advanced proteomics techniques and applications, genomics and phylogenetic studies, machine learning in bioinformatics, bioinformatics and genomic networks, and explainable artificial intelligence (XAI).

Limsoon Wong has contributed to multiple scientific journals and platforms. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Journal of Bioinformatics and Computational Biology
  • Patterns
  • Scientific Reports

Recent scholarly articles authored or co-authored by Limsoon Wong include:

  • Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability, 2020, Patterns
  • How to do quantile normalization correctly for gene expression data analyses, 2020, Scientific Reports
  • HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence, 2023, Molecular Cell
  • Are batch effects still relevant in the age of big data?, 2022, Trends in Biotechnology
  • π-HuB: the proteomic navigator of the human body, 2024, Nature

Among frequent collaborators are Wilson Wen Bin Goh, Chowdhury Rafeed Rahman, Weijia Kong, Anders J. Skanderup, and Tiannan Guo.

Limsoon Wong has also contributed to book publications, including a title published by World Scientific: "Computational Approaches in Molecular Interaction Analysis" (2024).

The scientist has been recognized with the ACM Fellow award in 2013 for contributions to database theory and computational biology.

Best Publications

  • Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling.

    Eng Juh Yeoh;Mary E. Ross;Sheila A. Shurtleff;W. Kent Williams

  • Exploiting indirect neighbours and topological weight to predict protein function from protein--protein interactions

    Hon Nian Chua;Wing-Kin Sung;Limsoon Wong

  • A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns.

    Huiqing Liu;Jinyan Li;Limsoon Wong

  • CAEP: Classification by Aggregating Emerging Patterns

    Guozhu Dong;Xiuzhen Zhang;Limsoon Wong;Jinyan Li

  • Complex discovery from weighted PPI networks

    Guimei Liu;Limsoon Wong;Hon Nian Chua

  • Accomplishments and challenges in literature data mining for biology

    Lynette Hirschman;Jong C. Park;Junichi Tsujii;Limsoon Wong

  • Why Batch Effects Matter in Omics Data, and How to Avoid Them

    Wilson Wen Bin Goh;Wilson Wen Bin Goh;Wei Wang;Limsoon Wong

  • Principles of programming with complex objects and collection types

    Peter Buneman;Shamim Naqvi;Val Tannen;Limsoon Wong

  • Comprehension syntax

    Peter Buneman;Leonid Libkin;Dan Suciu;Val Tannen

  • Naturally Embedded Query Languages

    Val Tannen;Peter Buneman;Limsoon Wong

  • Weighted complex network analysis of travel routes on the Singapore public transportation system

    Harold Soh;Sonja Lim;Tianyou Zhang;Xiuju Fu

  • Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns.

    Jinyan Li;Limsoon Wong

  • Optimal gene expression analysis by microarrays

    Lance D. Miller;Philip M. Long;Philip M. Long;Limsoon Wong;Sayan Mukherjee

  • Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability.

    Sung Yang Ho;Kimberly Phua;Limsoon Wong;Wilson Wen Bin Goh

  • Using indirect protein-protein interactions for protein complex predication.

    Hon Nian Chua;Kang Ning;Wing-Kin Sung;Hon Wai Leong

  • USING INDIRECT PROTEIN–PROTEIN INTERACTIONS FOR PROTEIN COMPLEX PREDICTION

    Hon Nian Chua;Kang Ning;Wing-Kin Sung;Hon Wai Leong

  • PLncDB: plant long non-coding RNA database.

    Jingjing Jin;Jun Liu;Huan Wang;Limsoon Wong

  • Kleisli, a functional query system

    Limsoon Wong

  • A Data Transformation System for Biological Data Sources

    Peter Buneman;Susan B. Davidson;Kyle Hart;G. Christian Overton

  • Relational expressive power of constraint query languages

    Michael Benedikt;Guozhu Dong;Leonid Libkin;Limsoon Wong

  • Database Theory — ICDT '92

    Val Tannen;Peter Buneman;Limsoon Wong

Frequent Co-Authors

Jinyan Li
Jinyan Li University of Technology Sydney
Leonid Libkin
Leonid Libkin University of Edinburgh
Guozhu Dong
Guozhu Dong Wright State University
See-Kiong Ng
See-Kiong Ng National University of Singapore
Wing-Kin Sung
Wing-Kin Sung Chinese University of Hong Kong
Gaoxi Xiao
Gaoxi Xiao Nanyang Technological University
Peter Buneman
Peter Buneman University of Edinburgh
Nam-Hai Chua
Nam-Hai Chua National University of Singapore
Chee Keong Kwoh
Chee Keong Kwoh Nanyang Technological University
Frank Eisenhaber
Frank Eisenhaber Agency for Science, Technology and Research

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