World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
18991
World Ranking
1880
National Ranking
33

Chew Lim 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 Chew Lim 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: 425 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Chew Lim 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 Chew Lim 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: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Chew Lim Tan is affiliated with the National University of Singapore in Singapore. Their research primarily focuses on the field of Computer Science, with particular emphasis on Artificial Intelligence.

The scientist's work encompasses several key topics within their field, including:

  • Sentiment Analysis and Opinion Mining
  • Topic Modeling
  • Advanced Text Analysis Techniques

Chew Lim Tan has contributed to the academic community through publications in recognized venues. Recent publication history includes:

  • "Sense Sentiment Similarity: An Analysis" (2021), Proceedings of the AAAI Conference on Artificial Intelligence

Their collaborative efforts feature frequent co-authors such as:

  • Mitra Mohtarami
  • Hadi Amiri
  • Man Lan
  • Thanh Phu Tran

Among the publication venues, the Proceedings of the AAAI Conference on Artificial Intelligence is noted as a frequent venue for their work.

Best Publications

  • Discretization: An Enabling Technique

    Huan Liu;Farhad Hussain;Chew Lim Tan;Manoranjan Dash

  • Supervised and Traditional Term Weighting Methods for Automatic Text Categorization

    Man Lan;Chew Lim Tan;Jian Su;Yue Lu

  • A case study on using neural networks to perform technical forecasting of forex

    Jingtao Yao;Chew Lim Tan

  • A robust arbitrary text detection system for natural scene images

    Anhar Risnumawan;Palaiahankote Shivakumara;Chee Seng Chan;Chew Lim Tan

  • Recognizing Text with Perspective Distortion in Natural Scenes

    Trung Quy Phan;Palaiahnakote Shivakumara;Shangxuan Tian;Chew Lim Tan

  • Robust Document Image Binarization Technique for Degraded Document Images

    Bolan Su;Shijian Lu;Chew Lim Tan

  • A Laplacian Approach to Multi-Oriented Text Detection in Video

    P Shivakumara;Trung Quy Phan;Chew Lim Tan

  • Binarization of historical document images using the local maximum and minimum

    Bolan Su;Shijian Lu;Chew Lim Tan

  • Recognizing names in biomedical texts: a machine learning approach

    Guodong Zhou;Jie Zhang;Jian Su;Dan Shen

  • Document image binarization using background estimation and stroke edges

    Shijian Lu;Bolan Su;Chew Lim Tan

  • Option price forecasting using neural networks

    Jingtao Yao;Yili Li;Chew Lim Tan

  • NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI

    Jingtao Yao;Chew Lim Tan;Hean-Lee Poh

  • Multi-Criteria-based Active Learning for Named Entity Recognition

    Dan Shen;Jie Zhang;Jian Su;Guodong Zhou

  • Text Flow: A Unified Text Detection System in Natural Scene Images

    Shangxuan Tian;Yifeng Pan;Chang Huang;Shijian Lu

  • Coreference Resolution Using Competition Learning Approach

    Xiaofeng Yang;Guodong Zhou;Jian Su;Chew Lim Tan

  • Blurred image region detection and classification

    Bolan Su;Shijian Lu;Chew Lim Tan

  • A comprehensive comparative study on term weighting schemes for text categorization with support vector machines

    Man Lan;Chew-Lim Tan;Hwee-Boon Low;Sam-Yuan Sung

  • Initialization of cluster refinement algorithms: a review and comparative study

    Ji He;Man Lan;Chew-Lim Tan;Sam-Yuan Sung

  • Effective Adaptation of Hidden Markov Model-based Named Entity Recognizer for Biomedical Domain

    Dan Shen;Jie Zhang;Guodong Zhou;Jian Su

  • On Quantitative Evaluation of Clustering Systems.

    Ji He;Ah-Hwee Tan;Chew Lim Tan;Sam Yuan Sung

Frequent Co-Authors

Palaiahnakote Shivakumara
Palaiahnakote Shivakumara University of Salford
Shijian Lu
Shijian Lu Nanyang Technological University
Jian Su
Jian Su Institute for Infocomm Research
Tong Lu
Tong Lu Nanjing University
Umapada Pal
Umapada Pal Indian Statistical Institute
Guodong Zhou
Guodong Zhou Soochow University
Donghong Ji
Donghong Ji Wuhan University
Ashraf A. Kassim
Ashraf A. Kassim National University of Singapore
Qi Tian
Qi Tian Huawei Technologies (China)
Terence Sim
Terence Sim National University of Singapore

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