World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
6017
World Ranking
6955
National Ranking
278

Ying Zou 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 Zou 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Ying Zou 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 Zou 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Ying Zou is affiliated with Queen's University in Canada and has an extensive research portfolio primarily in the field of Medicine, with a focus on Dermatology. Their work covers subfields including Dermatology, Immunology and Allergy, Molecular Biology, and Rheumatology.

The scientist's research topics span various aspects of dermatological and immunological conditions. These main topics include:

  • Dermatology and Skin Diseases
  • Allergic Rhinitis and Sensitization
  • Contact Dermatitis and Allergies
  • Asthma and respiratory diseases
  • Skin Protection and Aging
  • Urticaria and Related Conditions
  • Food Allergy and Anaphylaxis Research

Ying Zou has contributed to multiple research papers, with recent publications highlighting different areas of dermatology and immunology. Selected papers include:

  • "Efficacy and Safety of Dupilumab in Moderate-to-Severe Bullous Pemphigoid" (2021), published in Frontiers in Immunology
  • "Portable Handheld Slit-Lamp Based on a Smartphone Camera for Cataract Screening" (2020), published in Journal of Ophthalmology
  • "Guidelines for Diagnosis and Treatment of Atopic Dermatitis in China (2020)" (2021), published in International Journal of Dermatology and Venereology
  • "Expert consensus on the use of omalizumab in chronic urticaria in China" (2021), published in World Allergy Organization Journal
  • "Air Pollution and Weather Conditions Are Associated with Daily Outpatient Visits of Atopic Dermatitis in Shanghai, China" (2022), published in Dermatology

The venues where Ying Zou frequently publishes reflect a concentrated focus on dermatology and immunology. These include:

  • Journal of Cosmetic Dermatology
  • Frontiers in Immunology
  • International Journal of Dermatology and Venereology
  • Journal of the European Academy of Dermatology and Venereology
  • Journal of the American Academy of Dermatology

Collaborations have been a significant part of Ying Zou's research, with co-authors who have frequently appeared in their publications. These frequent co-authors are:

  • Yimei Tan
  • Ting Cao
  • Chao Ji
  • Ting Xiao
  • Maja Kovacevic

Best Publications

  • Cross-project defect prediction using a connectivity-based unsupervised classifier

    Feng Zhang;Quan Zheng;Ying Zou;Ahmed E. Hassan

  • Methods for Generating Auxiliary Data Operations for a Role Based Personalized Business User Workplace

    Jennifer Hawkins;Ross McKegney;Tack Tong;Qi Zhang

  • Do faster releases improve software quality?: an empirical case study of Mozilla Firefox

    Foutse Khomh;Tejinder Dhaliwal;Ying Zou;Bram Adams

  • An Empirical Study on Inconsistent Changes to Code Clones at Release Level

    Nicolas Bettenburg;Weyi Shang;Walid Ibrahim;Bram Adams

  • An empirical study on inconsistent changes to code clones at the release level

    Nicolas Bettenburg;Weiyi Shang;Walid M. Ibrahim;Bram Adams

  • Towards building a universal defect prediction model

    Feng Zhang;Audris Mockus;Iman Keivanloo;Ying Zou

  • Spotting working code examples

    Iman Keivanloo;Juergen Rilling;Ying Zou

  • Studying the fix-time for bugs in large open source projects

    Lionel Marks;Ying Zou;Ahmed E. Hassan

  • An Empirical Study of Game Reviews on the Steam Platform

    Dayi Lin;Cor-Paul Bezemer;Ying Zou;Ahmed E. Hassan

  • Towards building a universal defect prediction model with rank transformed predictors

    Feng Zhang;Audris Mockus;Iman Keivanloo;Ying Zou

  • Late propagation in software clones

    Liliane Barbour;Foutse Khomh;Ying Zou

  • Mining Performance Regression Testing Repositories for Automated Performance Analysis

    King Chun Foo;Zhen Ming Jiang;Bram Adams;Ahmed E. Hassan

  • An Empirical Study on Factors Impacting Bug Fixing Time

    Feng Zhang;Foutse Khomh;Ying Zou;Ahmed E. Hassan

  • Predicting Bugs Using Antipatterns

    Seyyed Ehsan Salamati Taba;Foutse Khomh;Ying Zou;Ahmed E. Hassan

  • Studying the Impact of Clones on Software Defects

    Gehan M.K. Selim;Liliane Barbour;Weiyi Shang;Bram Adams

  • Learning to rank code examples for code search engines

    Haoran Niu;Iman Keivanloo;Ying Zou

  • An Approach for Context-Aware Service Discovery and Recommendation

    Hua Xiao;Ying Zou;Joanna Ng;Leho Nigul

  • Towards just-in-time suggestions for log changes

    Heng Li;Weiyi Shang;Ying Zou;Ahmed E. Hassan

  • The Use of Summation to Aggregate Software Metrics Hinders the Performance of Defect Prediction Models

    Feng Zhang;Ahmed E. Hassan;Shane McIntosh;Ying Zou

  • Migration of SOAP-based services to RESTful services

    Bipin Upadhyaya;Ying Zou;Hua Xiao;Joanna Ng

Frequent Co-Authors

Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Foutse Khomh
Foutse Khomh Polytechnique Montréal
Kostas Kontogiannis
Kostas Kontogiannis York University
Bram Adams
Bram Adams Queen's University
Weiyi Shang
Weiyi Shang University of Waterloo
Zhen Ming Jiang
Zhen Ming Jiang York University
Xin Xia
Xin Xia Huawei Technologies (China)
David Lo
David Lo Singapore Management University
Audris Mockus
Audris Mockus University of Tennessee at Knoxville
Shane McIntosh
Shane McIntosh McGill University

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