World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
28344
World Ranking
2144
National Ranking
293

Chin-Yew Lin 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 Chin-Yew Lin 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: 214 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Chin-Yew Lin 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 Chin-Yew Lin 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Chin-Yew Lin is affiliated with Microsoft Research Asia in China and has contributed extensively to the field of computer science, with a strong focus on artificial intelligence. Their research portfolio includes 67 publications, predominantly in artificial intelligence, with additional work in computer vision and pattern recognition, management science and operations research, information systems, and computer graphics and computer-aided design.

The scientist's recent work spans multiple domains, focusing particularly on natural language processing techniques and topic modeling. Their research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Data Quality and Management
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques
  • Speech and Dialogue Systems
  • Text Readability and Simplification

Chin-Yew Lin's publication record features contributions to various prominent venues, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Journal of Web Semantics

Notable recent papers authored by or involving Chin-Yew Lin include:

  • "Decomposed Meta-Learning for Few-Shot Named Entity Recognition," 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • "Improving Entity Linking by Modeling Latent Entity Type Information," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Participation Maximization Based on Social Influence in Online Discussion Forums," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression," 2023, arXiv (Cornell University)

The scientist frequently collaborates with a consistent group of coauthors, including Huiqiang Jiang, Qianhui Wu, Tingting Ma, Börje F. Karlsson, and Lili Qiu. These collaborations reflect ongoing joint research efforts in related areas of artificial intelligence and natural language processing.

Best Publications

  • ROUGE: A Package for Automatic Evaluation of Summaries

    Chin-Yew Lin

  • Automatic evaluation of summaries using N-gram co-occurrence statistics

    Chin-Yew Lin;Eduard Hovy

  • Automated Text Summarization in SUMMARIST

    Eduard Hovy;Chin-Yew Lin

  • Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics

    Chin-Yew Lin;Franz Josef Och

  • AUTOMATED TEXT SUMMARIZATION AND THE SUMMARIST SYSTEM

    Eduard Hovy;Chin-Yew Lin

  • The automated acquisition of topic signatures for text summarization

    Chin-Yew Lin;Eduard Hovy

  • Low-Quality Product Review Detection in Opinion Summarization

    Jingjing Liu;Yunbo Cao;Chin-Yew Lin;Yalou Huang

  • Identifying Topics by Position

    Chin-Yew Lin;Eduard Hovy

  • Question Answering in Webclopedia.

    Eduard H. Hovy;Laurie Gerber;Ulf Hermjakob;Michael Junk

  • ORANGE: a method for evaluating automatic evaluation metrics for machine translation

    Chin-Yew Lin;Franz Josef Och

  • Joint Entity Recognition and Disambiguation

    Gang Luo;Xiaojiang Huang;Chin-Yew Lin;Zaiqing Nie

  • From Single to Multi-document Summarization

    Chin-Yew Lin;Eduard Hovy

  • Finding question-answer pairs from online forums

    Gao Cong;Long Wang;Chin-Yew Lin;Young-In Song

  • What's in a name?: an unsupervised approach to link users across communities

    Jing Liu;Fan Zhang;Xinying Song;Young-In Song

  • Manual and automatic evaluation of summaries

    Chin-Yew Lin;Eduard Hovy

  • Training a selection function for extraction

    Chin-Yew Lin

  • Toward semantics-based answer pinpointing

    Eduard Hovy;Laurie Gerber;Ulf Hermjakob;Chin-Yew Lin

  • Automated Text Summarization

    Chin-Yew Lin

  • Automated Summarization Evaluation with Basic Elements.

    Eduard H. Hovy;Chin-Yew Lin;Liang Zhou;Junichi Fukumoto

  • COM: a generative model for group recommendation

    Quan Yuan;Gao Cong;Chin-Yew Lin

  • Joint Named Entity Recognition and Disambiguation

    Gang Luo;Xiaojiang Huang;Chin-Yew Lin;Zaiqing Nie

Frequent Co-Authors

Eduard Hovy
Eduard Hovy Carnegie Mellon University
Tetsuya Sakai
Tetsuya Sakai Waseda University
Gao Cong
Gao Cong Nanyang Technological University
Shuming Shi
Shuming Shi Tencent (China)
Ming Zhou
Ming Zhou Langboat Technology
Yong Yu
Yong Yu Shanghai Jiao Tong University
Noriko Kando
Noriko Kando National Institute of Informatics
Miles Osborne
Miles Osborne Bloomberg LP
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign

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