World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
14241
World Ranking
2782
National Ranking
48

Min-Yen Kan 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 Min-Yen Kan 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: 254 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Min-Yen Kan 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 Min-Yen Kan 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: 63 D-Index — 81st percentile

81% 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

  • 2009 - ACM Senior Member

Overview

Min-Yen Kan is affiliated with the National University of Singapore in Singapore. Their research primarily focuses on computer science, with a significant emphasis on artificial intelligence. Other specialized areas of interest include computer vision and pattern recognition, information systems, pharmacology, and sociology and political science.

Their work covers a broad range of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Recommender Systems and Techniques
  • Speech Recognition and Synthesis
  • Antibiotics Pharmacokinetics and Efficacy

Min-Yen Kan has contributed extensively to academic literature, with 182 publications in computer science-related fields. Frequent venues for these publications are:

  • arXiv (Cornell University)
  • Scientific Reports
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Findings of the Association for Computational Linguistics: ACL 2022
  • British Journal of Clinical Pharmacology

Recent papers authored by Min-Yen Kan or those closely associated include:

  • "GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "FANG," 2022, Communications of the ACM
  • "Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy," 2024, Digital Government Research and Practice
  • "On the radar: Predicting near-future surges in skills' hiring demand to provide early warning to educators," 2021, Computers and Education Artificial Intelligence
  • "So Different Yet So Alike! Constrained Unsupervised Text Style Transfer," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Key frequent coauthors in Min-Yen Kan's research collaborations include:

  • Wei Zhao
  • Liangming Pan
  • Yi Zheng
  • Nancy F. Chen

Min-Yen Kan was recognized as an ACM Senior Member in 2009.

Best Publications

  • Fast Matrix Factorization for Online Recommendation with Implicit Feedback

    Xiangnan He;Hanwang Zhang;Min-Yen Kan;Tat-Seng Chua

  • TriRank: Review-aware Explainable Recommendation by Modeling Aspects

    Xiangnan He;Tao Chen;Min-Yen Kan;Xiao Chen

  • SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles

    Su Nam Kim;Olena Medelyan;Min-Yen Kan;Timothy Baldwin

  • Keyphrase extraction in scientific publications

    Thuy Dung Nguyen;Min-Yen Kan

  • ParsCit: an Open-source CRF Reference String Parsing Package

    Isaac G. Councill;C. Lee Giles;Min Yen Kan

  • A PDTB-Styled End-to-End Discourse Parser

    Ziheng Lin;Hwee Tou Ng;Min-Yen Kan

  • Fast webpage classification using URL features

    Min-Yen Kan;Hoang Oanh Nguyen Thi

  • Recognizing Implicit Discourse Relations in the Penn Discourse Treebank

    Ziheng Lin;Min-Yen Kan;Hwee Tou Ng

  • Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures

    Wenqiang Lei;Xisen Jin;Min-Yen Kan;Zhaochun Ren

  • Question answering passage retrieval using dependency relations

    Hang Cui;Renxu Sun;Keya Li;Min-Yen Kan

  • The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics

    Steven Bird;Robert Dale;Bonnie J. Dorr;Bryan R. Gibson

  • SIMFINDER: A Flexible Clustering Tool for Summarization

    Vasileios Hatzivassiloglou;Judith L Klavans;Melissa L Holcombe;Regina Barzilay

  • Scholarly paper recommendation via user's recent research interests

    Kazunari Sugiyama;Min-Yen Kan

  • Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

    Wenqiang Lei;Xiangnan He;Yisong Miao;Qingyun Wu

  • Addressing cold-start in app recommendation: latent user models constructed from twitter followers

    Jovian Lin;Kazunari Sugiyama;Min-Yen Kan;Tat-Seng Chua

  • FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

    Van-Hoang Nguyen;Kazunari Sugiyama;Preslav Nakov;Min-Yen Kan

  • Adaptive sorted neighborhood methods for efficient record linkage

    Su Yan;Dongwon Lee;Min-Yen Kan;Lee C. Giles

  • Linear Segmentation and Segment Significance

    Min-Yen Kan;Judith L. Klavans;Kathleen R. McKeown

  • Automatically Evaluating Text Coherence Using Discourse Relations

    Ziheng Lin;Hwee Tou Ng;Min-Yen Kan

  • BiRank: Towards Ranking on Bipartite Graphs

    Xiangnan He;Ming Gao;Min-Yen Kan;Dingxian Wang

  • Creating a live, public short message service corpus: the NUS SMS corpus

    Tao Chen;Min-Yen Kan

Frequent Co-Authors

Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Xiangnan He
Xiangnan He University of Science and Technology of China
Hwee Tou Ng
Hwee Tou Ng National University of Singapore
Dragomir R. Radev
Dragomir R. Radev Yale University
Timothy Baldwin
Timothy Baldwin University of Melbourne
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Shafiq Joty
Shafiq Joty Salesforce (United States)
Minh-Thang Luong
Minh-Thang Luong Google (United States)

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