World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6031
World Ranking
9804
National Ranking
1228

W. K. Chan 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 W. K. Chan 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 177 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

W. K. Chan 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 W. K. Chan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

W. K. Chan is affiliated with the City University of Hong Kong in China. Their research primarily falls within the field of Computer Science, with a strong focus on various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Software, and Signal Processing.

The scientist's work covers several key topics, which include:

  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Software Testing and Debugging Techniques
  • Blockchain Technology Applications and Security
  • Advanced Image and Video Retrieval Techniques
  • Software Engineering Research

Chan has contributed to numerous papers, with recent notable publications as follows:

  • "GasFuzzer: Fuzzing Ethereum Smart Contract Binaries to Expose Gas-Oriented Exception Security Vulnerabilities," 2020, IEEE Access
  • "WANA: Symbolic Execution of Wasm Bytecode for Extensible Smart Contract Vulnerability Detection," 2021, 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
  • "FoodMask: Real-time food instance counting, segmentation and recognition," 2023, Pattern Recognition
  • "Learning From Web Recipe-Image Pairs for Food Recognition: Problem, Baselines and Performance," 2021, IEEE Transactions on Multimedia
  • "Improving Fault-Localization Accuracy by Referencing Debugging History to Alleviate Structure Bias in Code Suspiciousness," 2020, IEEE Transactions on Reliability

Chan's work appears frequently in publication venues including:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Reliability
  • IEEE Access
  • 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)

In their collaborative research efforts, Chan has worked extensively with several frequent coauthors, such as:

  • Enrique Herrera-Viedma
  • Sam Kwong
  • Karen Panetta
  • Giancarlo Fortino
  • Róbert Kozma

Best Publications

  • ContractFuzzer: fuzzing smart contracts for vulnerability detection

    Bo Jiang;Ye Liu;W. K. Chan

  • A Tale of Clouds: Paradigm Comparisons and Some Thoughts on Research Issues

    Lijun Mei;W.K. Chan;T.H. Tse

  • Adaptive Random Test Case Prioritization

    Bo Jiang;Zhenyu Zhang;W. K. Chan;T. H. Tse

  • Taming coincidental correctness: Coverage refinement with context patterns to improve fault localization

    Xinming Wang;S. C. Cheung;W. K. Chan;Zhenyu Zhang

  • A Metamorphic Testing Approach for Online Testing of Service-Oriented Software Applications

    Wing Kwong Chan;S.C. Cheung;Karl R.P.H. Leung

  • Capturing propagation of infected program states

    Zhenyu Zhang;W. K. Chan;T. H. Tse;Bo Jiang

  • Testing context-sensitive middleware-based software applications

    T.H. Tse;S.S. Yau

  • Data flow testing of service-oriented workflow applications

    Lijun Mei;W.K. Chan;T.H. Tse

  • Incremental consistency checking for pervasive context

    Chang Xu;S. C. Cheung;W. K. Chan

  • Detecting atomic-set serializability violations in multithreaded programs through active randomized testing

    Zhifeng Lai;S. C. Cheung;W. K. Chan

  • Test case prioritization for regression testing of service-oriented business applications

    Lijun Mei;Zhenyu Zhang;W. K. Chan;T. H. Tse

  • Testing context-aware middleware-centric programs: a data flow approach and an RFID-based experimentation

    Heng Lu;W. K. Chan;T. H. Tse

  • Modeling and testing of cloud applications

    W.K. Chan;Lijun Mei;Zhenyu Zhang

  • Fault-based testing of database application programs with conceptual data model

    W.K. Chan;S.C. Cheung;T.H. Tse

  • MagicFuzzer: scalable deadlock detection for large-scale applications

    Yan Cai;W. K. Chan

  • Partial constraint checking for context consistency in pervasive computing

    Chang Xu;S. C. Cheung;W. K. Chan;Chunyang Ye

  • Prioritizing Test Cases for Regression Testing of Location-Based Services: Metrics, Techniques, and Case Study

    Ke Zhai;Bo Jiang;W. K. Chan

  • Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study

    Jianglin Huang;Jacky Wai Keung;Federica Sarro;Yan-Fu Li

  • Testing pervasive software in the presence of context inconsistency resolution services

    Heng Lu;W.K. Chan;T.H. Tse

  • Integration testing of context-sensitive middleware-based applications: A metamorphic approach

    W. K. Chan;Tsong Yueh Chen;Heng Lu;T. H. Tse

  • An Adaptive Service Selection Approach to Service Composition

    Lijun Mei;W.K. Chan;T.H. Tse

Frequent Co-Authors

T. H. Tse
T. H. Tse University of Hong Kong
Shing-Chi Cheung
Shing-Chi Cheung Hong Kong University of Science and Technology
Tsong Yueh Chen
Tsong Yueh Chen Swinburne University of Technology
Jacky Keung
Jacky Keung City University of Hong Kong
Stephen S. Yau
Stephen S. Yau Arizona State University
Yan-Fu Li
Yan-Fu Li Tsinghua University
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)
W. Eric Wong
W. Eric Wong The University of Texas at Dallas
Zongwei Luo
Zongwei Luo Southern University of Science and Technology
Francis C. M. Lau
Francis C. M. Lau Hong Kong Polytechnic University

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

Exploring Computer Science studies in the USA opens doors to a variety of related online degrees and career options. Many students find value in interdisciplinary fields like engineering, physics, and data science, which can strengthen their expertise and job prospects.

For those interested in sustainability, pursuing an environmental engineering bachelor's degree online combines technology and environmental stewardship. Similarly, understanding mechanical engineering degree cost is crucial for students who want to expand into engineering fields while managing tuition expenses.

Prospective students often ask, can you get a physics degree online? Innovative programs now allow this, providing flexible options for those with demanding schedules. In today’s data-driven landscape, students also benefit from exploring data science programs that blend computer science with analytical skills highly valued by employers.

With these related degrees and online pathways, students can tailor their education and career direction, ensuring they remain adaptable in a rapidly evolving technological world.

Best Scientists Citing W. K. Chan

Trending Scientists

Recently Published Articles