World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6330
World Ranking
12947
National Ranking
496

S. K. M. 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 S. K. M. 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: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

S. K. M. 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 S. K. M. 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

S. K. M. Wong is affiliated with the University of Regina in Canada, focusing primarily on research within the fields of Biochemistry, Genetics, and Molecular Biology. Their subfields of study include Molecular Biology, Insect Science, Social Psychology, Ecology, and Artificial Intelligence. The main research topics explored by Wong involve Insect Resistance and Genetics, Insect and Pesticide Research, CRISPR and Genetic Engineering, Counseling Practices and Supervision, DNA and Nucleic Acid Chemistry, RNA and protein synthesis mechanisms, and Bacteriophages and microbial interactions.

Wong has contributed to various scientific publications, with recent papers covering diverse topics. These include:

  • "More than 10 years after commercialization, Vip3A-expressing MIR162 remains highly efficacious in controlling major Lepidopteran maize pests: laboratory resistance selection versus field reality," published in 2023 in Pesticide Biochemistry and Physiology
  • "Self-protective strategies used by Asian and Black psychology and counselor education faculty who teach multicultural competence courses," published in 2022 in Training and Education in Professional Psychology
  • "Bridging health and society," published in 2025 in Canadian Family Physician
  • "Synthesis and base-pairing properties of pyrazine nucleic acids," published in 2020 in Nucleosides Nucleotides & Nucleic Acids
  • "An enhancement of Boolean retrieval systems based on term co-occurrence frequencies / Un amélioration des systèmes d'information basé sur la cooccurrence de termes," published in 2022 in Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI

Frequent co-authors collaborating with Wong include:

  • Matthew Bramlett
  • Jessica Middlemis Maher
  • Oswin Chang
  • Paul J. Zwack
  • Yuexuan Wu

Wong's scholarly articles frequently appear in the following publication venues:

  • Pesticide Biochemistry and Physiology
  • Canadian Family Physician
  • Training and Education in Professional Psychology
  • Nucleosides Nucleotides & Nucleic Acids
  • Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI

Best Publications

  • A decision theoretic framework for approximating concepts

    Y. Y. Yao;S. K. M. Wong

  • Rough sets: probabilistic versus deterministic approach

    Z. Pawlak;S. K. M. Wong;W. Ziarko

  • A critical analysis of vector space model for information retrieval

    Vijay V. Raghavan;S. K. M. Wong

  • Generalized vector spaces model in information retrieval

    S. K. M. Wong;Wojciech Ziarko;Patrick C. N. Wong

  • Variance‐based color image quantization for frame buffer display

    S. J. Wan;P. Prusinkiewicz;S. K. M. Wong

  • On modeling of information retrieval concepts in vector spaces

    S. K.M. Wong;W. Ziarko;V. V. Raghavan;P. C.N. Wong

  • On modeling information retrieval with probabilistic inference

    S. K. M. Wong;Y. Y. Yao

  • Comparison of the probabilistic approximate classification and the fuzzy set model

    S. K. M Wong;Wojciech Ziarko

  • A Review of Rough Set Models

    Y. Y. Yao;S. K. M. Wong;T. Y. Lin

  • An algorithm for multidimensional data clustering

    S. J. Wan;S. K. M. Wong;P. Prusinkiewicz

  • Comparison of rough-set and statistical methods in inductive learning

    S K Wong;W Ziarko;R Li Ye

  • Vector space model of information retrieval: a reevaluation

    S. K. M. Wong;Vijay V. Raghavan

  • On the implication problem for probabilistic conditional independency

    Unknown

  • Axiomatization of qualitative belief structure

    S.K.M. Wong;Y.Y. Yao;P. Bollmann;H.C. Burger

  • A NON-NUMERIC APPROACH TO UNCERTAIN REASONING

    Y.Y. Yao;S.K.M. Wong;L.S. Wang

  • ON MODELING UNCERTAINTY WITH INTERVAL STRUCTURES

    S. K. M. Wong;L. S. Wang;Y Y. Yao

  • A “Microscopic” Study of Minimum Entropy Search in Learning Decomposable Markov Networks

    Y. Xiang;S. K. M. Wong;N. Cercone

  • A NEW DIRECTED DIVERGENCE MEASURE AND ITS CHARACTERIZATION

    J. Lin;S. K. M. Wong

  • Linear structure in information retrieval

    S. K.M. Wong;Y. Y. Yao

  • Computation of term associations by a neural network

    S. K. M. Wong;Y. J. Cai;Y. Y. Yao

  • On Information-Theoretic Measures of Attribute Importance

    Y. Y. Yao;S. K. Michael Wong;Cory J. Butz

Frequent Co-Authors

Yiyu Yao
Yiyu Yao University of Regina
Wojciech Ziarko
Wojciech Ziarko University of Regina
Vijay V. Raghavan
Vijay V. Raghavan University of Louisiana at Lafayette
Zdzisław Pawlak
Zdzisław Pawlak Polish Academy of Sciences
Pawan Lingras
Pawan Lingras Saint Mary's University
Chris Buckley
Chris Buckley Cornell University
Gerard Salton
Gerard Salton Cornell University
Lusheng Wang
Lusheng Wang City University of Hong Kong
Przemyslaw Prusinkiewicz
Przemyslaw Prusinkiewicz University of Calgary
Nick Cercone
Nick Cercone York University

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Best Scientists Citing S. K. M. Wong