World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
13045
World Ranking
10970
National Ranking
1355

Kevin Y. Yip 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 Kevin Y. Yip 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: 96 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.

Kevin Y. Yip 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 Kevin Y. Yip 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Kevin Y. Yip is affiliated with the Chinese University of Hong Kong in China. Their research spans several fields within biochemistry, genetics, and molecular biology, with a focus on molecular biology, oncology, cancer research, immunology, and genetics.

The primary topics covered in their work include:

  • Genomics and Phylogenetic Studies
  • Epigenetics and DNA Methylation
  • Genomics and Chromatin Dynamics
  • RNA modifications and cancer
  • Cancer Immunotherapy and Biomarkers
  • Cancer Genomics and Diagnostics
  • RNA Research and Splicing

Kevin Y. Yip's frequent publication venues indicate a focus on biomedical and genomic research. These venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature
  • Gigabyte
  • Nature Communications
  • Genome Biology

Collaboration is a consistent feature of their research, with frequent co-authors including Ting-Fung Chan, Qin Cao, Wenyan Nong, Jerome H. L. Hui, and Siu Gin Cheung.

Representative recent papers authored or co-authored by Kevin Y. Yip, highlighting the scope and focus of their research, include:

  • "An integrative ENCODE resource for cancer genomics," 2020, Nature Communications
  • "A selective HDAC8 inhibitor potentiates antitumor immunity and efficacy of immune checkpoint blockade in hepatocellular carcinoma," 2021, Science Translational Medicine
  • "Whole-genome profiling of nasopharyngeal carcinoma reveals viral-host co-operation in inflammatory NF-κB activation and immune escape," 2021, Nature Communications
  • "Supervised enhancer prediction with epigenetic pattern recognition and targeted validation," 2020, Nature Methods
  • "Jellyfish genomes reveal distinct homeobox gene clusters and conservation of small RNA processing," 2020, Nature Communications

Their work demonstrates engagement with cancer genomics, immune mechanisms in oncology, epigenetics, and genome-wide investigations in molecular biology. The combination of topics and publication history reflects a multidisciplinary approach to understanding genomic and immunological processes at the molecular level within biomedical contexts.

Best Publications

  • An integrated encyclopedia of DNA elements in the human genome

    Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins

  • Architecture of the human regulatory network derived from ENCODE data

    Mark B Gerstein;Anshul Kundaje;Manoj Hariharan;Stephen G Landt

  • A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

    Richard M. Myers;John Stamatoyannopoulos;Michael Snyder;Ian Dunham

  • Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project

    Mark B. Gerstein;Zhi John Lu;Eric L. Van Nostrand;Chao Cheng

  • Decision Trees for Uncertain Data

    Smith Tsang;Ben Kao;Kevin Y Yip;Wai-Shing Ho

  • FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer.

    Yao Fu;Zhu Liu;Shaoke Lou;Jason Bedford

  • Efficient Clustering of Uncertain Data

    Wang Ngai;Ben Kao;Chun Chui;Reynold Cheng

  • Comparative analysis of the transcriptome across distant species

    Mark B. Gerstein;Joel Rozowsky;Koon Kiu Yan;Daifeng Wang

  • Classification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factors.

    Kevin Y. Yip;Chao Cheng;Nitin Bhardwaj;James B. Brown

  • Reconstruction of enhancer–target networks in 935 samples of human primary cells, tissues and cell lines

    Qin Cao;Christine Anyansi;Christine Anyansi;Xihao Hu;Liangliang Xu

  • HARP: a practical projected clustering algorithm

    K.Y. Yip;D.W. Cheung;M.K. Ng

  • Understanding transcriptional regulation by integrative analysis of transcription factor binding data

    Chao Cheng;Roger Alexander;Rengqiang Min;Jing Leng

  • Mining periodic patterns with gap requirement from sequences

    Minghua Zhang;Ben Kao;David W. Cheung;Kevin Y. Yip

  • An integrative ENCODE resource for cancer genomics

    Jing Zhang;Donghoon Lee;Vineet Dhiman;Peng Jiang;Peng Jiang

  • A statistical framework for modeling gene expression using chromatin features and application to modENCODE datasets

    Chao Cheng;Koon-Kiu Yan;Kevin Y Yip;Kevin Y Yip;Joel Rozowsky

  • YeastHub: a semantic web use case for integrating data in the life sciences domain

    Kei-Hoi Cheung;Kevin Y. Yip;Andrew Smith;Remko Deknikker

  • Genome-Wide Structural Variation Detection by Genome Mapping on Nanochannel Arrays.

    Angel C. Y. Mak;Yvonne Y. Y. Lai;Ernest T. Lam;Tsz-Piu Kwok

  • Improved reconstruction of in silico gene regulatory networks by integrating knockout and perturbation data.

    Kevin Y. Yip;Roger P. Alexander;Koon-Kiu Yan;Mark Gerstein

  • Machine learning and genome annotation: a match meant to be?

    Kevin Y Yip;Chao Cheng;Mark Gerstein

  • An integrated system for studying residue coevolution in proteins

    Kevin Y. Yip;Prianka Patel;Philip M. Kim;Donald M. Engelman

  • An integrative ENCODE resource for cancer genomics

    Jing Zhang;Donghoon Lee;Vineet Dhiman;Peng Jiang

Frequent Co-Authors

Mark Gerstein
Mark Gerstein Yale University
Chao Cheng
Chao Cheng Baylor College of Medicine
Kwok Wai Lo
Kwok Wai Lo Chinese University of Hong Kong
David W. Cheung
David W. Cheung University of Hong Kong
Ka-Fai To
Ka-Fai To Chinese University of Hong Kong
Joel Rozowsky
Joel Rozowsky Yale University
Michael Snyder
Michael Snyder Stanford University
Ben Kao
Ben Kao University of Hong Kong
Kei-Hoi Cheung
Kei-Hoi Cheung Yale University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University

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