World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
23604
World Ranking
1946
National Ranking
35

Ee-Peng Lim 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 Ee-Peng Lim 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: 582 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Ee-Peng Lim 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 Ee-Peng Lim 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: 69 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

Ee-Peng Lim is affiliated with Singapore Management University in Singapore. Their research primarily focuses on computer science, with significant contributions in artificial intelligence, information systems, computer vision and pattern recognition, statistical and nonlinear physics, and management science and operations research.

The scientist's work spans various topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Complex Network Analysis Techniques
  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Opinion Dynamics and Social Influence

Recent papers authored under Ee-Peng Lim's research include:

  • "Characterizing Silent Users in Social Media Communities," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Explanation Guided Contrastive Learning for Sequential Recommendation," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • "Virality and Susceptibility in Information Diffusions," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism," 2021, IEEE Transactions on Multimedia
  • "Understanding Continuance Intention toward Crowdsourcing Games: A Longitudinal Investigation," 2020, International Journal of Human-Computer Interaction

Ee-Peng Lim's frequent co-authors include:

  • Palakorn Achananuparp (11 joint publications)
  • Pei-Chi Lo (9 joint publications)
  • Lei Wang (8 joint publications)
  • Gary Ang (8 joint publications)
  • Roy Ka-Wei Lee (6 joint publications)

The scientist has published predominantly in venues such as:

  • arXiv (Cornell University) with 35 publications
  • Proceedings of the International AAAI Conference on Web and Social Media with 6 publications
  • IEEE Transactions on Multimedia with 3 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 2 publications
  • ACM Transactions on Management Information Systems with 2 publications

In addition to journal and conference work, Ee-Peng Lim has contributed to book publications published by Springer Science+Business Media, including multiple editions of "Advances in Knowledge Discovery and Data Mining" and "Database Systems for Advanced Applications" published between 2020 and 2022.

Best Publications

  • TwitterRank: finding topic-sensitive influential twitterers

    Jianshu Weng;Ee-Peng Lim;Jing Jiang;Qi He

  • Comparing twitter and traditional media using topic models

    Wayne Xin Zhao;Jing Jiang;Jianshu Weng;Jing He

  • Detecting product review spammers using rating behaviors

    Ee-Peng Lim;Viet-An Nguyen;Nitin Jindal;Bing Liu

  • Mobile Commerce: Promises, Challenges and Research Agenda

    Keng Siau;Ee-Peng Lim;Zixing Shen

  • Hierarchical text classification and evaluation

    Aixin Sun;Ee-Peng Lim

  • Finding unusual review patterns using unexpected rules

    Nitin Jindal;Bing Liu;Ee-Peng Lim

  • Research Issues in Web Data Mining

    Sanjay Kumar Madria;Sourav S. Bhowmick;Wee Keong Ng;Ee-Peng Lim

  • Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

    Ee-Peng Lim;Marianne Winslett;Mark Sanderson;Ada Fu

  • Measuring article quality in wikipedia: models and evaluation

    Meiqun Hu;Ee-Peng Lim;Aixin Sun;Hady Wirawan Lauw

  • Finding Bursty Topics from Microblogs

    Qiming Diao;Jing Jiang;Feida Zhu;Ee-Peng Lim

  • Topical Keyphrase Extraction from Twitter

    Xin Zhao;Jing Jiang;Jing He;Yang Song

  • Web classification using support vector machine

    Aixin Sun;Ee-Peng Lim;Wee-Keong Ng

  • TopicSketch: Real-Time Bursty Topic Detection from Twitter

    Wei Xie;Feida Zhu;Jing Jiang;Ee-Peng Lim

  • On strategies for imbalanced text classification using SVM: A comparative study

    Aixin Sun;Ee-Peng Lim;Ying Liu

  • Analyzing feature trajectories for event detection

    Qi He;Kuiyu Chang;Ee-Peng Lim

  • TopicSketch: Real-Time Bursty Topic Detection from Twitter

    Wei Xie;Feida Zhu;Jing Jiang;Ee-Peng Lim

  • Entity identification in database integration

    Ee-Peng Lim;Jaideep Srivastava;Satya Prabhakar;James Richardson

  • Dynamic Web Service Selection for Reliable Web Service Composition

    San-Yih Hwang;Ee-Peng Lim;Chien-Hsiang Lee;Cheng-Hung Chen

  • Business Intelligence and Analytics: Research Directions

    Ee-Peng Lim;Hsinchun Chen;Guoqing Chen

  • Predicting trusts among users of online communities: an epinions case study

    Haifeng Liu;Ee-Peng Lim;Hady W. Lauw;Minh-Tam Le

  • Extracting link chains of relationship instances from a Web site

    Myo-Myo Naing;Ee-Peng Lim;Roger H. L. Chiang

Frequent Co-Authors

Wee Keong Ng
Wee Keong Ng Nanyang Technological University
Aixin Sun
Aixin Sun Nanyang Technological University
Dion Hoe-Lian Goh
Dion Hoe-Lian Goh Nanyang Technological University
Feida Zhu
Feida Zhu Singapore Management University
Yin-Leng Theng
Yin-Leng Theng Nanyang Technological University
David Lo
David Lo Singapore Management University
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Jing Jiang
Jing Jiang Singapore Management University
Sourav S. Bhowmick
Sourav S. Bhowmick Nanyang Technological University
Sanjay Kumar Madria
Sanjay Kumar Madria Missouri University of Science and Technology

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