World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
23185
World Ranking
1094
National Ranking
20

Kian-Lee 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 Kian-Lee 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: 484 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Kian-Lee 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 Kian-Lee 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: 80 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Kian-Lee Tan is affiliated with the National University of Singapore in Singapore. Their research output spans multiple aspects of computer science, with a particular focus on data management, algorithms, and graph theory.

The scientist's publications cover several subfields within computer science, including:

  • Signal Processing
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems

Their main fields of study are concentrated in computer science, with a notable emphasis on the following research topics:

  • Data Management and Algorithms
  • Graph Theory and Algorithms
  • Anomaly Detection Techniques and Applications
  • Human Mobility and Location-Based Analysis
  • Complex Network Analysis Techniques
  • Caching and Content Delivery
  • Advanced Data Storage Technologies

Kian-Lee Tan's recent papers demonstrate contributions to areas such as graph computations, clustering techniques, and outlier detection. Selected publications include:

  • "Exploiting Reuse for GPU Subgraph Enumeration" (2020) in IEEE Transactions on Knowledge and Data Engineering
  • "Continuous Trajectory Similarity Search for Online Outlier Detection" (2020) in IEEE Transactions on Knowledge and Data Engineering
  • "Distributed Density Peaks Clustering Revisited" (2020) in IEEE Transactions on Knowledge and Data Engineering
  • "Distributed Approaches to Butterfly Analysis on Large Dynamic Bipartite Graphs" (2022) in IEEE Transactions on Parallel and Distributed Systems
  • "TopoX: Topology Refactorization for Minimizing Network Communication in Graph Computations" (2020) in IEEE/ACM Transactions on Networking

The scientist has worked frequently with several co-authors, including:

  • Dongxiang Zhang
  • Gang Chen
  • Yuchen Li
  • Dongsheng Li
  • Yijun Bei

Their work has appeared repeatedly in several publication venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • IEEE Transactions on Parallel and Distributed Systems

Best Publications

  • Private queries in location based services: anonymizers are not necessary

    Gabriel Ghinita;Panos Kalnis;Ali Khoshgozaran;Cyrus Shahabi

  • Efficient Progressive Skyline Computation

    Kian-Lee Tan;Pin-Kwang Eng;Beng Chin Ooi

  • BLOCKBENCH: A Framework for Analyzing Private Blockchains

    Tien Tuan Anh Dinh;Ji Wang;Gang Chen;Rui Liu

  • iDistance: An adaptive B+-tree based indexing method for nearest neighbor search

    H. V. Jagadish;Beng Chin Ooi;Kian-Lee Tan;Cui Yu

  • Influence Maximization on Social Graphs: A Survey

    Yuchen Li;Ju Fan;Yanhao Wang;Kian-Lee Tan

  • Finding k-dominant skylines in high dimensional space

    Chee-Yong Chan;H. V. Jagadish;Kian-Lee Tan;Anthony K. H. Tung

  • In-Memory Big Data Management and Processing: A Survey

    Hao Zhang;Gang Chen;Beng Chin Ooi;Kian-Lee Tan

  • PeerDB: a P2P-based system for distributed data sharing

    W.S. Ng;B.C. Ooi;K.-L. Tan;Aoying Zhou

  • Indexing the Distance: An Efficient Method to KNN Processing

    Cui Yu;Beng Chin Ooi;Kian-Lee Tan;H. V. Jagadish

  • Verifying completeness of relational query results in data publishing

    HweeHwa Pang;Arpit Jain;Krithi Ramamritham;Kian-Lee Tan

  • On high dimensional skylines

    Chee-Yong Chan;H. V. Jagadish;Kian-Lee Tan;Anthony K. H. Tung

  • Authenticating query results in edge computing

    H.H. Pang;K.-L. Tan

  • Online topic-aware influence maximization

    Shuo Chen;Ju Fan;Guoliang Li;Jianhua Feng

  • iCrowd: An Adaptive Crowdsourcing Framework

    Ju Fan;Guoliang Li;Beng Chin Ooi;Kian-lee Tan

  • Stratified computation of skylines with partially-ordered domains

    Chee-Yong Chan;Pin-Kwang Eng;Kian-Lee Tan

  • Real-time targeted influence maximization for online advertisements

    Yuchen Li;Dongxiang Zhang;Kian-Lee Tan

  • Supporting multi-dimensional range queries in peer-to-peer systems

    Yanfeng Shu;Beng Chin Ooi;Kian-Lee Tan;Aoying Zhou

  • Efficient location-aware influence maximization

    Guoliang Li;Shuo Chen;Jianhua Feng;Kian-lee Tan

  • Indexing Techniques for Advanced Database Systems

    Elisa Bertino;Beng Chin Ooi;Ron Sacks-Davis;Kian-Lee Tan

  • Giving meanings to WWW images

    Heng Tao Shen;Beng Chin Ooi;Kian-Lee Tan

Frequent Co-Authors

Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Dongxiang Zhang
Dongxiang Zhang Zhejiang University
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore
Stéphane Bressan
Stéphane Bressan National University of Singapore
Bin Cui
Bin Cui Peking University
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Gao Cong
Gao Cong Nanyang Technological University
Aoying Zhou
Aoying Zhou East China Normal University
Jialie Shen
Jialie Shen City, University of London
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re interested in Computer Science, there are several related online degrees and career options to consider. For example, pursuing an online degree in mechanical engineering can open doors to roles in robotics, product design, and automation, complementing skills learned in computer science.

Another option is earning an online physics degree. This pathway is valuable for those interested in simulation, modeling, and computational research, all of which are in high demand within technology industries.

Data Science is also closely tied to computer science, and finding the cheapest data science masters in usa can help you acquire expertise in analytics, artificial intelligence, and big data, further enhancing your career prospects.

For those interested in hardware and control systems, consider comparing electrical engineering online tuition costs to find a program that fits your budget and academic goals.

Exploring these online degrees lets you build specialized skills and expand your career opportunities across industries connected to computer science.

Best Scientists Citing Kian-Lee Tan

Trending Scientists

Recently Published Articles