World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9591
World Ranking
6454
National Ranking
860

Ben Kao 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 Ben Kao 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Ben Kao 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 Ben Kao 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Ben Kao is affiliated with the University of Hong Kong in China and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their work covers a variety of topics, including topic modeling, natural language processing techniques, advanced graph neural networks, and applications of artificial intelligence in law.

The scientist's main fields of study include:

  • Computer Science

Within computer science, their research spans subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Political Science and International Relations
  • Computer Networks and Communications
  • Information Systems

Their research topics are diverse and focus on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Artificial Intelligence in Law
  • Data Quality and Management
  • Speech and dialogue systems
  • Intelligent Tutoring Systems and Adaptive Learning

Ben Kao has published in numerous venues, with frequent appearances in:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the VLDB Endowment
  • Information Sciences
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Notable recent papers include:

  • "SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Distributed PageRank computation with improved round complexities," 2022, Information Sciences
  • "Automatic Meta-Path Discovery for Effective Graph-Based Recommendation," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • "ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model," 2024, Proceedings of the VLDB Endowment
  • "Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT," 2020, arXiv (Cornell University)

Frequent collaborators accompanying Ben Kao's research efforts include:

  • Tien-Hsuan Wu
  • Reynold Cheng
  • Yongxi Chen
  • Guowen Yuan
  • Deliang Wang

The scope of Ben Kao's research reflects a broad engagement with computational methods applicable to intelligent systems, data analysis, and machine learning techniques across both theoretical and applied dimensions.

Best Publications

  • Secure kNN computation on encrypted databases

    Wai Kit Wong;David Wai-lok Cheung;Ben Kao;Nikos Mamoulis

  • A General Incremental Technique for Maintaining Discovered Association Rules

    David Wai-Lok Cheung;Sau Dan Lee;Ben Kao

  • Mining frequent itemsets from uncertain data

    Chun-Kit Chui;Ben Kao;Edward Hung

  • Decision Trees for Uncertain Data

    Smith Tsang;Ben Kao;Kevin Y Yip;Wai-Shing Ho

  • Indexing multi-dimensional uncertain data with arbitrary probability density functions

    Yufei Tao;Reynold Cheng;Xiaokui Xiao;Wang Kay Ngai

  • An overview of real-time database systems

    Ben Kao;Ben Kao;Héctor García-Molina

  • Efficient Clustering of Uncertain Data

    Wang Ngai;Ben Kao;Chun Chui;Reynold Cheng

  • Deadline assignment in a distributed soft real-time system

    H. Kao;H. Garcia-Molina

  • Uncertain data mining: an example in clustering location data

    Michael Chau;Reynold Cheng;Ben Kao;Jackey Ng

  • Naive Bayes Classification of Uncertain Data

    Jiangtao Ren;Sau Dan Lee;Xianlu Chen;Ben Kao

  • Deadline assignment in a distributed soft real-time system

    B. Kao;H. Garcia-Molina

  • Applying update streams in a soft real-time database system

    B. Adelberg;H. Garcia-Molina;B. Kao

  • Mining periodic patterns with gap requirement from sequences

    Minghua Zhang;Ben Kao;David W. Cheung;Kevin Y. Yip

  • Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

    Zhiyong Wu;Yun Chen;Ben Kao;Qun Liu

  • A decremental approach for mining frequent itemsets from uncertain data

    Chun-Kit Chui;Ben Kao

  • Security in outsourcing of association rule mining

    W. K. Wong;David W. Cheung;Edward Hung;Ben Kao

  • On querying historical evolving graph sequences

    Chenghui Ren;Eric Lo;Ben Kao;Xinjie Zhu

  • Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index

    Ben Kao;Sau Dan Lee;Foris K F Lee;David W Cheung

  • Neural enquirer: learning to query tables in natural language

    Pengcheng Yin;Zhengdong Lu;Hang Li;Ben Kao

  • Modeling splice sites with Bayes networks

    Deyou Cai;Arthur L. Delcher;Ben Kao;Simon Kasif

Frequent Co-Authors

David W. Cheung
David W. Cheung University of Hong Kong
Reynold Cheng
Reynold Cheng University of Hong Kong
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Kevin Y. Yip
Kevin Y. Yip Chinese University of Hong Kong
Nikos Mamoulis
Nikos Mamoulis University of Ioannina
Martin Ester
Martin Ester Simon Fraser University
Michael Chau
Michael Chau University of Hong Kong
Sunil Prabhakar
Sunil Prabhakar Purdue University West Lafayette
Daniel Barbará
Daniel Barbará George Mason University
Xiaokui Xiao
Xiaokui Xiao National University of Singapore

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