World's Best Scientists 2026 revealed!
Carson Kai-Sang Leung

Carson Kai-Sang Leung

D-Index & Metrics

Computer Science

D-Index
62
Citations
10177
World Ranking
2971
National Ranking
113

Carson Kai-Sang Leung 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 Carson Kai-Sang Leung 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: 412 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Carson Kai-Sang Leung 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 Carson Kai-Sang Leung 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - ACM Senior Member

Overview

Carson Kai-Sang Leung is affiliated with the University of Manitoba in Canada and has contributed extensively to the field of Computer Science, with a total of 193 publications. Their research spans multiple subfields, including Artificial Intelligence, Information Systems, Signal Processing, Molecular Biology, and Computational Theory and Mathematics.

The scientist has explored numerous research topics, focusing predominantly on Data Mining Algorithms and Applications, Data Management and Algorithms, Anomaly Detection Techniques and Applications, Traffic Prediction and Management Techniques, Rough Sets and Fuzzy Logic, COVID-19 diagnosis using AI, and Data Stream Mining Techniques.

Notable recent publications include:

  • Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19, 2021, Journal of Translational Medicine
  • Predictive analytics on open big data for supporting smart transportation services, 2020, Procedia Computer Science
  • A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images, 2020, IEEE Access
  • Big Data Visualization and Visual Analytics of COVID-19 Data, 2020, 2020 24th International Conference Information Visualisation (IV)
  • A New Approach for Mining Correlated Frequent Subgraphs, 2021, ACM Transactions on Management Information Systems

Their frequent co-authors include Alfredo Cuzzocrea, Chowdhury Farhan Ahmed, Pingzhao Hu, Md. Tanvir Alam, and Anifat M. Olawoyin.

The main publication venues where this scientist's work appears regularly are arXiv (Cornell University), Procedia Computer Science, Applied Intelligence, 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), and the 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Carson Kai-Sang Leung has been recognized as an ACM Senior Member since 2017, reflecting their standing in the field of computing.

Best Publications

  • A tree-based approach for frequent pattern mining from uncertain data

    Carson Kai-Sang Leung;Mark Anthony F. Mateo;Dale A. Brajczuk

  • DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams

    Carson Leung;Quamrul Khan

  • CanTree: a canonical-order tree for incremental frequent-pattern mining

    Carson Kai-Sang Leung;Quamrul I. Khan;Zhan Li;Tariqul Hoque

  • CanTree: a tree structure for efficient incremental mining of frequent patterns

    C.K.-S. Leung;Q.I. Khan;T. Hoque

  • Efficient Mining of Frequent Patterns from Uncertain Data

    C.K.-S. Leung;C.L. Carmichael;Boyu Hao

  • Mining of Frequent Itemsets from Streams of Uncertain Data

    Carson Kai-Sang Leung;Boyu Hao

  • Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing

    Anna Kobusinska;Carson Kai-Sang Leung;Ching-Hsien Hsu;S Raghavendra

  • Sports Data Mining: Predicting Results for the College Football Games

    Carson Kai-Sang Leung;Kyle W. Joseph

  • A machine learning approach for stock price prediction

    Carson Kai-Sang Leung;Richard Kyle MacKinnon;Yang Wang

  • Mining constrained frequent itemsets from distributed uncertain data

    Alfredo Cuzzocrea;Carson Kai-Sang Leung;Richard Kyle MacKinnon

  • Efficient dynamic mining of constrained frequent sets

    Laks V. S. Lakshmanan;Carson Kai-Sang Leung;Raymond T. Ng

  • Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19.

    Daryl L. X. Fung;Qian Liu;Judah Zammit;Carson Kai-Sang Leung

  • Efficient Mining of Frequent Patterns from Uncertain Data

    Unknown

  • Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data

    Carson Kai-Sang Leung;Richard Kyle MacKinnon;Fan Jiang

  • Exploiting succinct constraints using FP-trees

    Carson Kai-Sang Leung;Laks V. S. Lakshmanan;Raymond T. Ng

  • Interactive Mining of Strong Friends from Social Networks and Its Applications in E-Commerce

    Syed Khairuzzaman Tanbeer;Carson Kai-Sang Leung;Juan J. Cameron

  • Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models

    Carson Kai-Sang Leung;Alfredo Cuzzocrea;Fan Jiang

  • Predictive analytics on open big data for supporting smart transportation services.

    Paul Patrick F. Balbin;Jackson C.R. Barker;Carson K. Leung;Marvin Tran

  • PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data

    Carson Kai-Sang Leung;Syed Khairuzzaman Tanbeer

  • Interactive discovery of influential friends from social networks

    Carson Kai-Sang Leung;Syed Khairuzzaman Tanbeer;Juan J. Cameron

  • FIsViz: a frequent itemset visualizer

    Carson Kai-Sang Leung;Pourang P. Irani;Christopher L. Carmichael

  • Finding Strong Groups of Friends among Friends in Social Networks

    Juan J. Cameron;Carson Kai-Sang Leung;Syed K. Tanbeer

  • An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics

    Joglas Souza;Carson K. Leung;Alfredo Cuzzocrea

  • A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments

    Seokjin Ahn;Stefan V. Couture;Alfredo Cuzzocrea;Kevin Dam

  • A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images

    Qian Liu;Carson K. Leung;Pingzhao Hu

  • Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data

    Kyle J. Morris;Sean D. Egan;Jorell L. Linsangan;Carson K. Leung

Frequent Co-Authors

Alfredo Cuzzocrea
Alfredo Cuzzocrea University of Calabria
Raymond T. Ng
Raymond T. Ng University of British Columbia
Laks V. S. Lakshmanan
Laks V. S. Lakshmanan University of British Columbia
Pourang Irani
Pourang Irani University of Manitoba
Heikki Mannila
Heikki Mannila Aalto University
Longbing Cao
Longbing Cao University of Technology Sydney
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Victor Chang
Victor Chang Aston University
Young-Koo Lee
Young-Koo Lee Kyung Hee University
Henry Shu-Hung Chung
Henry Shu-Hung Chung City University of Hong Kong

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