World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
17433
World Ranking
2737
National Ranking
373

Ada Wai-Chee Fu 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 Ada Wai-Chee Fu 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: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Ada Wai-Chee Fu 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 Ada Wai-Chee Fu 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Ada Wai-Chee Fu is affiliated with the Chinese University of Hong Kong in China. Their research primarily spans the field of Computer Science, with a particular focus on Artificial Intelligence and Signal Processing alongside other subfields.

Their scholarly work covers several topics including:

  • Data Management and Algorithms
  • Geographic Information Systems Studies
  • Mobile Ad Hoc Networks
  • Algorithms and Data Compression
  • Advanced Image and Video Retrieval Techniques
  • Advanced Graph Neural Networks
  • Topic Modeling

Ada Wai-Chee Fu's publication record comprises various recent papers, notably:

  • "Optimal location query based on k nearest neighbours," 2021, Frontiers of Computer Science
  • "Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases," 2020, IEEE Transactions on Cloud Computing
  • "k-Pleased Querying," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "k-Pleased Querying (Extended Abstract)," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Their work has appeared in well-regarded publication venues, including:

  • Frontiers of Computer Science
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Cloud Computing
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Ada Wai-Chee Fu often collaborates with a consistent group of coauthors. Frequent coauthors include:

  • Zitong Chen
  • Cheng Long
  • Raymond Chi-Wing Wong
  • Yang Wu
  • Yubao Liu

Their research contributions engage with a variety of computational challenges, ranging from efficient query processing and database security to advanced querying techniques and geographic information systems. This multidisciplinary approach encompasses both theoretical algorithms and practical applications within computer science domains.

Best Publications

  • Efficient time series matching by wavelets

    Kin-Pong Chan;Ada Wai-Chee Fu

  • HOT SAX: efficiently finding the most unusual time series subsequence

    E. Keogh;J. Lin;A. Fu

  • Entropy-based subspace clustering for mining numerical data

    Chun-Hung Cheng;Ada Waichee Fu;Yi Zhang

  • A fast distributed algorithm for mining association rules

    D.W. Cheung;Jiawei Han;V.T. Ng;A.W. Fu

  • Enhancing Effectiveness of Outlier Detections for Low Density Patterns

    Jian Tang;Zhixiang Chen;Ada Wai-Chee Fu;David Wai-Lok Cheung

  • Mining association rules with weighted items

    C.H. Cai;A.W.C. Fu;C.H. Cheng;W.W. Kwong

  • Utility-based anonymization using local recoding

    Jian Xu;Wei Wang;Jian Pei;Xiaoyuan Wang

  • (α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing

    Raymond Chi-Wing Wong;Jiuyong Li;Ada Wai-Chee Fu;Ke Wang

  • Efficient mining of association rules in distributed databases

    D.W. Cheung;V.T. Ng;A.W. Fu;Yongjian Fu

  • K-isomorphism: privacy preserving network publication against structural attacks

    James Cheng;Ada Wai-chee Fu;Jia Liu

  • Minimality attack in privacy preserving data publishing

    Raymond Chi-Wing Wong;Ada Wai-Chee Fu;Ke Wang;Jian Pei

  • Haar wavelets for efficient similarity search of time-series: with and without time warping

    F.K.-P. Chan;A.W.-C. Fu;C. Yu

  • Enhanced nearest neighbour search on the R-tree

    King Lum Cheung;Ada Wai-Chee Fu

  • Discovering Temporal Patterns for Interval-Based Events

    Po-shan Kam;Ada Wai-Chee Fu

  • Anonymizing transaction databases for publication

    Yabo Xu;Ke Wang;Ada Wai-Chee Fu;Philip S. Yu

  • Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques

    Benjamin C.M. Fung;Ke Wang;Ada Wai-Chee Fu;Philip S. Yu

  • Scaling and time warping in time series querying

    Ada Wai-chee Fu;Eamonn Keogh;Leo Yung Hang Lau;Chotirat Ann Ratanamahatana

  • Efficient anomaly monitoring over moving object trajectory streams

    Yingyi Bu;Lei Chen;Ada Wai-Chee Fu;Dawei Liu

  • Query Expansion

    Unknown

  • Approximations to magic: finding unusual medical time series

    J. Lin;E. Keogh;Ada Fu;H. Van Herle

  • Mining frequent itemsets without support threshold: with and without item constraints

    Yin-Ling Cheung;Ada Wai-Chee Fu

Frequent Co-Authors

Raymond Chi-Wing Wong
Raymond Chi-Wing Wong Hong Kong University of Science and Technology
Ke Wang
Ke Wang Simon Fraser University
Jian Pei
Jian Pei Duke University
James Cheng
James Cheng Chinese University of Hong Kong
David W. Cheung
David W. Cheung University of Hong Kong
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Jiuyong Li
Jiuyong Li University of South Australia
Eamonn Keogh
Eamonn Keogh University of California, Riverside
Jeffrey Xu Yu
Jeffrey Xu Yu Chinese University of Hong Kong

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