World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5324
World Ranking
13037
National Ranking
392

Jey Han Lau 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 Jey Han Lau 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Jey Han Lau 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 Jey Han Lau 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Best Publications

  • Automatic Evaluation of Topic Coherence

    David Newman;Jey Han Lau;Karl Grieser;Timothy Baldwin

  • Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

    Jey Han Lau;David Newman;Timothy Baldwin

  • Automatic Labelling of Topic Models

    Jey Han Lau;Karl Grieser;David Newman;Timothy Baldwin

  • On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online

    Jey Han Lau;Nigel Collier;Timothy Baldwin

  • IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP

    Fajri Koto;Afshin Rahimi;Jey Han Lau;Timothy Baldwin

  • Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge

    Jey Han Lau;Jey Han Lau;Alexander Clark;Shalom Lappin;Shalom Lappin;Shalom Lappin

  • Word Sense Induction for Novel Sense Detection

    Jey Han Lau;Paul Cook;Diana McCarthy;David Newman

  • Automatic Detection and Language Identification of Multilingual Documents

    Marco Lui;Jey Han Lau;Timothy Baldwin

  • Best Topic Word Selection for Topic Labelling

    Jey Han Lau;David Newman;Sarvnaz Karimi;Timothy Baldwin

  • An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

    Jey Han Lau;Timothy Baldwin

  • On collocations and topic models

    Jey Han Lau;Timothy Baldwin;David Newman

  • Deep-speare: A joint neural model of poetic language, meter and rhyme

    Jey Han Lau;Trevor Cohn;Timothy Baldwin;Julian Brooke

  • IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization

    Fajri Koto;Jey Han Lau;Timothy Baldwin

  • IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization

    Fajri Koto;Jey Han Lau;Timothy Baldwin

  • A lexicographic appraisal of an automatic approach for detecting new word-senses

    Paul Cook;Jey Han Lau;Michael Rundell;Diana McCarthy

  • Early Rumour Detection

    Kaimin Zhou;Chang Shu;Binyang Li;Jey Han Lau

  • Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction

    David Newman;Nagendra Koilada;Jey Han Lau;Timothy Baldwin

  • Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models

    Jey Han Lau;Paul Cook;Diana McCarthy;Spandana Gella

  • Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules

    Wei Emma Zhang;Quan Z. Sheng;Jey Han Lau;Ermyas Abebe

  • Grey-box Adversarial Attack And Defence For Sentiment Classification

    Unknown

Frequent Co-Authors

Timothy Baldwin
Timothy Baldwin University of Melbourne
Trevor Cohn
Trevor Cohn University of Melbourne
Antonio Jimeno Yepes
Antonio Jimeno Yepes RMIT University
Karin Verspoor
Karin Verspoor RMIT University
Diana McCarthy
Diana McCarthy University of Cambridge
Mark Stevenson
Mark Stevenson University of Melbourne
Cécile Paris
Cécile Paris Commonwealth Scientific and Industrial Research Organisation
Yuji Matsumoto
Yuji Matsumoto Nara Institute of Science and Technology
Matthew Purver
Matthew Purver Queen Mary University of London
Mukesh K. Mohania
Mukesh K. Mohania Indraprastha Institute of Information Technology Delhi

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