World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13059
World Ranking
4061
National Ranking
1933

Wang-Chiew Tan 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 Wang-Chiew Tan 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: 158 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Wang-Chiew Tan 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 Wang-Chiew Tan 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - ACM Fellow For contributions to data provenance and to the foundations of information integration.

Overview

Wang-Chiew Tan is affiliated with Facebook in the United States and has a research focus primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Molecular Biology.

Their research topics cover a diverse set of areas such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Data Quality and Management
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Web Data Mining and Analysis
  • Machine Learning and Data Classification

Wang-Chiew Tan has collaborated frequently with several researchers. Notable co-authors include:

  • Yuliang Li
  • Jinfeng Li
  • Yoshihiko Suhara
  • Xiaolan Wang
  • Çağatay Demiralp

Key recent publications by Wang-Chiew Tan's collaborators provide insight into their research impact and areas of focus. These include:

  • "Sato," 2020, published in Proceedings of the VLDB Endowment
  • "Annotating Columns with Pre-trained Language Models," 2022, Proceedings of the 2022 International Conference on Management of Data
  • "Deep Entity Matching," 2021, Journal of Data and Information Quality
  • "Effective entity matching with transformers," 2023, The VLDB Journal
  • "Data augmentation for ML-driven data preparation and integration," 2021, Proceedings of the VLDB Endowment

Wang-Chiew Tan has published extensively across various venues, with the most frequent appearances in:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM SIGMOD Record
  • The VLDB Journal
  • Proceedings of the 2022 International Conference on Management of Data

Among the recognitions received by Wang-Chiew Tan is the ACM Fellow award in 2015, given for contributions to data provenance and to the foundations of information integration.

Best Publications

  • Why and Where: A Characterization of Data Provenance

    Peter Buneman;Sanjeev Khanna;Wang Chiew Tan

  • Provenance in Databases: Why, How, and Where

    James Cheney;Laura Chiticariu;Wang-Chiew Tan

  • Keys for XML

    Peter Buneman;Susan B. Davidson;Wenfei Fan;Carmem S. Hara

  • Deep entity matching with pre-trained language models

    Yuliang Li;Jinfeng Li;Yoshihiko Suhara;AnHai Doan

  • SilkRoute: trading between relations and XML

    Mary Fernández;Wang-Chiew Tan;Dan Suciu

  • Composing schema mappings: second-order dependencies to the rescue

    Ronald Fagin;Phokion G. Kolaitis;Lucian Popa;Wang-Chiew Tan

  • An annotation management system for relational databases

    Deepavali Bhagwat;Laura Chiticariu;Wang-Chiew Tan;Gaurav Vijayvargiya

  • Data Provenance: Some Basic Issues

    Peter Buneman;Sanjeev Khanna;Wang Chiew Tan

  • Archiving scientific data

    Peter Buneman;Sanjeev Khanna;Keishi Tajima;Wang-Chiew Tan

  • Keys for XML

    Peter Buneman;Susan Davidson;Wenfei Fan;Carmem Hara

  • Reasoning about keys for XML

    Peter Buneman;Susan Davidson;Wenfei Fan;Carmem Hara

  • Reasoning about Keys for XML

    Peter Buneman;Susan B. Davidson;Wenfei Fan;Carmem S. Hara

  • On propagation of deletions and annotations through views

    Peter Buneman;Sanjeev Khanna;Wang-Chiew Tan

  • SilkRoute: A framework for publishing relational data in XML

    Mary Fernández;Yana Kadiyska;Dan Suciu;Atsuyuki Morishima

  • Provenance in Databases

    Peter Buneman;Wang-Chiew Tan

  • Method for converting relational data into XML

    Maria F. Fernandez;Atsuyuki Morishima;Dan Suciu;Wang-Chiew Tan

  • Provenance in Databases: Past, Current, and Future

    Wang Chiew Tan

  • Method for converting relational data into a structured document

    Maria F. Fernandez;Dan Suciu;Wang-Chiew Tan

  • DBNotes: a post-it system for relational databases based on provenance

    Laura Chiticariu;Wang-Chiew Tan;Gaurav Vijayvargiya

  • Peer data exchange

    Ariel Fuxman;Phokion G. Kolaitis;Renée J. Miller;Wang-Chiew Tan

  • FST TCS 2000: Foundations of Software Technology and Theoretical Computer Science

    Peter Buneman;Sanjeev Khanna;Wang-Chiew Tan

Frequent Co-Authors

Phokion G. Kolaitis
Phokion G. Kolaitis University of California, Santa Cruz
Peter Buneman
Peter Buneman University of Edinburgh
Balder ten Cate
Balder ten Cate University of Amsterdam
Lucian Popa
Lucian Popa IBM (United States)
Sanjeev Khanna
Sanjeev Khanna University of Pennsylvania
Peter J. Haas
Peter J. Haas University of Massachusetts Amherst
Wenfei Fan
Wenfei Fan University of Edinburgh
Ronald Fagin
Ronald Fagin IBM (United States)
Paul P. Maglio
Paul P. Maglio University of California, Merced
Dan Suciu
Dan Suciu University of Washington

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