World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
14220
World Ranking
3088
National Ranking
1508

Ying Ding 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 Ying Ding 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: 299 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Ying Ding 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 Ying Ding 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Ying Ding is affiliated with The University of Texas at Austin in the United States. Their research spans multiple areas within medicine and biochemistry, genetics, and molecular biology.

The scientist has contributed extensively to several fields of study, including:

  • Medicine
  • Biochemistry, Genetics and Molecular Biology

Within these broader domains, their work also focuses on several subfields such as:

  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Statistics and Probability
  • Ophthalmology
  • Pulmonary and Respiratory Medicine

Ying Ding's research encompasses a variety of main topics, reflecting an interdisciplinary approach to medical science and bioinformatics:

  • Retinal Diseases and Treatments
  • Statistical Methods and Inference
  • Neuroscience and Neuropharmacology Research
  • Retinal Imaging and Analysis
  • Bioinformatics and Genomic Networks
  • Radiomics and Machine Learning in Medical Imaging
  • Genetic Associations and Epidemiology

Their output includes a number of recent papers published in respected journals. Selected recent publications are:

  • "Treg cell-derived osteopontin promotes microglia-mediated white matter repair after ischemic stroke," 2021, Immunity
  • "Viral Dynamics and Immune Correlates of Coronavirus Disease 2019 (COVID-19) Severity," 2020, Clinical Infectious Diseases
  • "Deep-learning-based prediction of late age-related macular degeneration progression," 2020, Nature Machine Intelligence
  • "Persistent Symptoms and Association With Inflammatory Cytokine Signatures in Recovered Coronavirus Disease 2019 Patients," 2021, Open Forum Infectious Diseases
  • "BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data," 2020, Nucleic Acids Research

The scientist collaborates frequently with numerous co-authors, with frequent collaborators including:

  • Wei Chen
  • Robert A. Sweet
  • Yue Wei
  • Heng Huang
  • Sohail Z. Husain

Ying Ding's publications often appear in venues known for multidisciplinary and biomedical research. Prominent publication platforms include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SSRN Electronic Journal
  • PubMed
  • Statistics in Medicine

Best Publications

  • Bibliometric cartography of information retrieval research by using co-word analysis

    Ying Ding;Gobinda G. Chowdhury;Schubert Foo

  • Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks.

    Ying Ding

  • PageRank for ranking authors in co-citation networks

    Ying Ding;Erjia Yan;Arthur Frazho;James Caverlee

  • Applying centrality measures to impact analysis: A coauthorship network analysis

    Erjia Yan;Ying Ding

  • Ontology Research and Development. Part 1-A Review of Ontology Generation.

    Ying Ding;Schubert Foo

  • Popular and/or prestigious? Measures of scholarly esteem

    Ying Ding;Blaise Cronin

  • Content-Based Citation Analysis: The Next Generation of Citation Analysis

    Ying Ding;Guo Zhang;Tamy Chambers;Min Song

  • The semantic web: yet another hip?

    Ying Ding;Dieter Fensel;Michel Klein;Borys Omelayenko

  • Measuring Scholarly Impact: Methods and Practice

    Ying Ding;Ronald Rousseau;Dietmar Wolfram

  • Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data

    Bin Chen;Xiao Dong;Dazhi Jiao;Huijun Wang

  • Product data integration in B2B e-commerce

    D. Fensel;Ying Ding;B. Omelayenko;E. Schulten

  • The cognitive structure of Library and Information Science: Analysis of article title words

    Staša Milojević;Cassidy R. Sugimoto;Erjia Yan;Ying Ding

  • Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other

    Erjia Yan;Ying Ding

  • Ontology research and development. Part 2 - a review of ontology mapping and evolving

    Ying Ding;Schubert Foo

  • Content-based author co-citation analysis

    Yoo Kyung Jeong;Min Song;Ying Ding

  • Discovering author impact: A PageRank perspective

    Erjia Yan;Ying Ding

  • Ontology library systems: the key to successful ontology re-use

    Ying Ding;Dieter Fensel

  • Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content

    Guo Zhang;Ying Ding;Staša Milojević

  • Assessing Drug Target Association Using Semantic Linked Data

    Bin Chen;Ying Ding;David J. Wild

  • The distribution of references across texts: Some implications for citation analysis

    Ying Ding;Xiaozhong Liu;Chun Guo;Blaise Cronin

  • Applying centrality measures to impact analysis: A coauthorship network analysis

    Erjia Yan;Ying Ding

Frequent Co-Authors

Erjia Yan
Erjia Yan Drexel University
Min Song
Min Song Yonsei University
Dieter Fensel
Dieter Fensel University of Innsbruck
Jie Tang
Jie Tang Tsinghua University
Schubert Foo
Schubert Foo Nanyang Technological University
Cassidy R. Sugimoto
Cassidy R. Sugimoto Indiana University
Michel C. A. Klein
Michel C. A. Klein Vrije Universiteit Amsterdam
Katy Börner
Katy Börner Indiana University
Vincent Larivière
Vincent Larivière University of Montreal
Jerome R. Busemeyer
Jerome R. Busemeyer Indiana University

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