World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
26438
World Ranking
2265
National Ranking
1131

Wen-tau Yih 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 Wen-tau Yih 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.

Wen-tau Yih 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 Wen-tau Yih 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Wen-tau Yih is a researcher affiliated with Facebook in the United States. Their academic contributions span primarily across the field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Software, and Molecular Biology.

Their research extensively covers a variety of topics, incorporating:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Text Readability and Simplification
  • Software Engineering Research

Wen-tau Yih has published numerous papers in established venues, including:

  • Contextual Personal Intelligence: A New Paradigm for AI That Evolves With You, 2025, arXiv (Cornell University)
  • Rule Learning over Knowledge Graphs: A Review, 2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • InCoder: A Generative Model for Code Infilling and Synthesis, 2022, arXiv (Cornell University)
  • REPLUG: Retrieval-Augmented Black-Box Language Models, 2023, arXiv (Cornell University)
  • Autoregressive Search Engines: Generating Substrings as Document Identifiers, 2022, arXiv (Cornell University)

The venues where Wen-tau Yih frequently publishes include:

  • arXiv (Cornell University) with 55 publications
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl) with 1 publication
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 1 publication

Notable frequent coauthors collaborating with Wen-tau Yih are:

  • Barlas Oğuz (15 joint publications)
  • Luke Zettlemoyer (14 joint publications)
  • Xilun Chen (13 joint publications)
  • Yashar Mehdad (12 joint publications)
  • Patrick Lewis (9 joint publications)

Best Publications

  • Linguistic Regularities in Continuous Space Word Representations

    Tomas Mikolov;Wen-tau Yih;Geoffrey Zweig

  • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

    Patrick S. H. Lewis;Ethan Perez;Aleksandra Piktus;Fabio Petroni

  • Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Bishan Yang;Wen-tau Yih;Xiaodong He;Jianfeng Gao

  • Dense Passage Retrieval for Open-Domain Question Answering

    Vladimir Karpukhin;Barlas Oguz;Sewon Min;Patrick S. H. Lewis

  • WikiQA: A Challenge Dataset for Open-Domain Question Answering

    Yi Yang;Wen-tau Yih;Christopher Meek

  • Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

    Wen-tau Yih;Ming-Wei Chang;Xiaodong He;Jianfeng Gao

  • QuAC: Question Answering in Context

    Eunsol Choi;He He;Mohit Iyyer;Mohit Iyyer;Mark Yatskar

  • Dissecting Contextual Word Embeddings: Architecture and Representation

    Matthew E. Peters;Mark Neumann;Luke Zettlemoyer;Wen-tau Yih

  • Cross-Sentence N-ary Relation Extraction with Graph LSTMs

    Nanyun Peng;Hoifung Poon;Chris Quirk;Kristina Toutanova

  • The importance of syntactic parsing and inference in semantic role labeling

    Vasin Punyakanok;Vasin Punyakanok;Vasin Punyakanok;Dan Roth;Dan Roth;Dan Roth;Wen-tau Yih;Wen-tau Yih;Wen-tau Yih

  • A Knowledge-Grounded Neural Conversation Model

    Marjan Ghazvininejad;Chris Brockett;Ming-Wei Chang;Bill Dolan

  • A Linear Programming Formulation for Global Inference in Natural Language Tasks

    Dan Roth;Wen-tau Yih

  • Semantic Parsing for Single-Relation Question Answering

    Wen-tau Yih;Xiaodong He;Christopher Meek

  • TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

    Pengcheng Yin;Graham Neubig;Wen-tau Yih;Sebastian Riedel

  • The Value of Semantic Parse Labeling for Knowledge Base Question Answering

    Wen-tau Yih;Matthew Richardson;Christopher Meek;Ming-Wei Chang

  • Finding advertising keywords on web pages

    Wen-tau Yih;Joshua Goodman;Vitor R. Carvalho

  • Question Answering Using Enhanced Lexical Semantic Models

    Wen-tau Yih;Ming-Wei Chang;Christopher Meek;Andrzej Pastusiak

  • Learning Discriminative Projections for Text Similarity Measures

    Wen-tau Yih;Kristina Toutanova;John C. Platt;Christopher Meek

  • Integer linear programming inference for conditional random fields

    Dan Roth;Wen-tau Yih

  • Semantic role labeling via integer linear programming inference

    Vasin Punyakanok;Dan Roth;Wen-tau Yih;Dav Zimak

  • Abductive Commonsense Reasoning

    Chandra Bhagavatula;Ronan Le Bras;Chaitanya Malaviya;Keisuke Sakaguchi

Frequent Co-Authors

Dan Roth
Dan Roth University of Pennsylvania
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Ming-Wei Chang
Ming-Wei Chang Google (United States)
Kristina Toutanova
Kristina Toutanova Google (United States)
Li Deng
Li Deng Citadel
Hao Ma
Hao Ma Facebook (United States)
Sebastian Riedel
Sebastian Riedel University College London
Chris Quirk
Chris Quirk Microsoft (United States)
Geoffrey Zweig
Geoffrey Zweig Facebook (United States)
Hoifung Poon
Hoifung Poon Microsoft (United States)

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