World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
23596
World Ranking
6285
National Ranking
251

Bin Ma 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 Bin Ma 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Bin Ma 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 Bin Ma 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Bin Ma is affiliated with the University of Waterloo in Canada. Their research spans several interdisciplinary fields, primarily centered on Medicine, Chemistry, and Biochemistry, Genetics and Molecular Biology. Within these domains, Bin Ma has contributed particularly to Molecular Biology, Spectroscopy, Immunology, Hematology, and Radiology, Nuclear Medicine and Imaging.

The main research topics addressed by Bin Ma include:

  • Advanced Proteomics Techniques and Applications
  • Mass Spectrometry Techniques and Applications
  • Machine Learning in Bioinformatics
  • Monoclonal and Polyclonal Antibodies Research
  • Multiple Myeloma Research and Treatments
  • Immunotherapy and Immune Responses
  • Radioactive element chemistry and processing

Bin Ma has frequently published in scientific journals such as:

  • Journal of Proteome Research
  • Water Research
  • Nature Communications
  • Blood
  • Clinical Lymphoma Myeloma & Leukemia

Frequent collaborators of Bin Ma include Thierry Le Bihan, Zac McDonald, Qixin Liu, Shaokai Wang, and Mariya Liyasova.

Some recent publications by Bin Ma include:

  • A draft genome sequence of the elusive giant squid, Architeuthis dux, published in 2020 in GigaScience
  • Data Dependent-Independent Acquisition (DDIA) Proteomics, published in 2020 in Journal of Proteome Research
  • Preparation and Properties of Highly Transparent SiO2 Aerogels for Thermal Insulation, published in 2022 in Gels
  • Repeat-Preserving Decoy Database for False Discovery Rate Estimation in Peptide Identification, published in 2020 in Journal of Proteome Research
  • Phosphate and illite colloid pose a synergistic risk of enhanced uranium transport in groundwater: A challenge for phosphate immobilization remediation of uranium contaminated environmental water, published in 2024 in Water Research

Best Publications

  • Initial sequencing and comparative analysis of the mouse genome.

    Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers

  • PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry

    Bin Ma;Kaizhong Zhang;Christopher Hendrie;Chengzhi Liang

  • The similarity metric

    Ming Li;Xin Chen;Xin Li;Bin Ma

  • PEAKS DB: De Novo Sequencing Assisted Database Search for Sensitive and Accurate Peptide Identification

    Jing Zhang;Lei Xin;Baozhen Shan;Weiwu Chen

  • Clustering by compression

    Ming Li;Xin Chen;Xin Li;Bin Ma

  • PatternHunter: faster and more sensitive homology search

    Bin Ma;John Tromp;Ming Li

  • SPIDER: software for protein identification from sequence tags with de novo sequencing error.

    Yonghua Han;Bin Ma;Kaizhong Zhang

  • Ultrahigh-energy photons up to 1.4 petaelectronvolts from 12 γ-ray Galactic sources

    Zhen Cao;F A Aharonian;F A Aharonian;Q An;Axikegu

  • Distinguishing string selection problems

    J. Kevin Lanctot;Ming Li;Bin Ma;Shaojiu Wang

  • Patternhunter II: highly sensitive and fast homology search.

    Ming Li;Bin Ma;Derek Kisman;John Tromp

  • ZOOM! Zillions of oligos mapped

    Hao Lin;Zefeng Zhang;Michael Q. Zhang;Bin Ma

  • DNACompress: fast and effective DNA sequence compression.

    Xin Chen;Ming Li;Bin Ma;John Tromp

  • A general edit distance between RNA structures.

    Tao Jiang;Guohui Lin;Bin Ma;Kaizhong Zhang

  • On the closest string and substring problems

    Ming Li;Bin Ma;Lusheng Wang

  • Novor: real-time peptide de novo sequencing software.

    Bin Ma

  • De Novo sequencing and homology searching

    Bin Ma;Richard Johnson

  • From Gene Trees to Species Trees

    Bin Ma;Ming Li;Louxin Zhang

  • PeaksPTM: Mass spectrometry-based identification of peptides with unspecified modifications.

    Xi Han;Lin He;Lei Xin;Baozhen Shan

  • On spaced seeds for similarity search

    Uri Keich;Ming Li;Bin Ma;John Tromp

  • Finding similar regions in many strings

    Ming Li;Bin Ma;Lusheng Wang

Frequent Co-Authors

Kaizhong Zhang
Kaizhong Zhang University of Western Ontario
Lusheng Wang
Lusheng Wang City University of Hong Kong
Gilles A. Lajoie
Gilles A. Lajoie University of Western Ontario
Guohui Lin
Guohui Lin University of Alberta
Tao Jiang
Tao Jiang University of California, Riverside
Paul M. B. Vitányi
Paul M. B. Vitányi Centrum Wiskunde & Informatica
Dong Xuan
Dong Xuan The Ohio State University
Inna Dubchak
Inna Dubchak Lawrence Berkeley National Laboratory
John Douglas Mcpherson
John Douglas Mcpherson University of California, Davis
Edward M. Rubin
Edward M. Rubin Joint Genome Institute

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