World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6899
World Ranking
8860
National Ranking
1142

Hareton 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 Hareton 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Hareton 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 Hareton 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Hareton Leung is affiliated with the Hong Kong Polytechnic University in China and conducts research in the field of computer science. Their work primarily focuses on topics related to software engineering research, advanced software engineering methodologies, and the logic, programming, and type systems domain.

Their research spans several subfields of computer science, including artificial intelligence and information systems. This interdisciplinary approach supports their exploration of complex problems within software engineering and programming languages.

Hareton Leung has published research in the following venues:

  • ACM Transactions on Software Engineering and Methodology

Among their recent publications is a paper titled "How C++ Templates Are Used for Generic Programming", published in 2020 in the ACM Transactions on Software Engineering and Methodology.

Their frequent co-authors include:

  • Lin Chen
  • Di Wu
  • Wanwangying Ma
  • Yuming Zhou
  • Baowen Xu

These collaborations indicate a network of researchers working in related areas of software engineering, programming languages, and systems design.

Hareton Leung's contributions to their main fields of computer science reflect a combination of theoretical and applied work, with a clear emphasis on methodologies that enhance software development and programming techniques.

Best Publications

  • A survey of combinatorial testing

    Unknown

  • Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults

    Yuming Zhou;Hareton Leung

  • Predicting object-oriented software maintainability using multivariate adaptive regression splines

    Yuming Zhou;Hareton Leung

  • A survey of code‐based change impact analysis techniques

    Bixin Li;Bixin Li;Xiaobing Sun;Xiaobing Sun;Hareton Leung;Sai Zhang

  • Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models

    Yibiao Yang;Yuming Zhou;Jinping Liu;Yangyang Zhao

  • Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

    Xin Luo;MengChu Zhou;Shuai Li;YunNi Xia

  • A study of integration testing and software regression at the integration level

    Unknown

  • Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering

    Zhiwen Yu;Peinan Luo;Jane You;Hau-San Wong

  • Insights into regression testing (software testing)

    Unknown

  • A cost model to compare regression test strategies

    Unknown

  • On the ability of complexity metrics to predict fault-prone classes in object-oriented systems

    Yuming Zhou;Baowen Xu;Hareton Leung

  • Examining the Potentially Confounding Effect of Class Size on the Associations between Object-Oriented Metrics and Change-Proneness

    Yuming Zhou;H. Leung;Baowen Xu

  • A firewall concept for both control-flow and data-flow in regression integration testing

    Unknown

  • Quality metrics for intranet applications

    Hareton K.N. Leung

  • Hybrid $k$ -Nearest Neighbor Classifier

    Zhiwen Yu;Hantao Chen;Jiming Liuxs;Jane You

  • An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering

    Xin Luo;MengChu Zhou;Hareton Leung;Yunni Xia

  • The ability of object-oriented metrics to predict change-proneness: a meta-analysis

    Hongmin Lu;Yuming Zhou;Baowen Xu;Hareton Leung

  • A Risk Management Methodology for Project Risk Dependencies

    Unknown

  • An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems

    Xin Luo;Mengchu Zhou;Shuai Li;Yunni Xia

  • A Discrete Particle Swarm Optimization for Covering Array Generation

    Huayao Wu;Changhai Nie;Fei-Ching Kuo;Hareton Leung

  • Short-Term Rainfall Forecasting Using Multi-Layer Perceptron

    Pengcheng Zhang;Yangyang Jia;Jerry Gao;Wei Song

  • An in-depth study of the potentially confounding effect of class size in fault prediction

    Yuming Zhou;Baowen Xu;Hareton Leung;Lin Chen

  • A Highly Efficient Approach to Protein Interactome Mapping Based on Collaborative Filtering Framework

    Xin Luo;Xin Luo;Zhuhong You;Mengchu Zhou;Shuai Li

  • MSR4SM: Using topic models to effectively mining software repositories for software maintenance tasks

    Xiaobing Sun;Xiaobing Sun;Bixin Li;Hareton K. N. Leung;Bin Li

  • On the efficiency of domain-based COTS product selection method

    Karl R.P.H Leung;Hareton K.N Leung

  • Incremental semi-supervised clustering ensemble for high dimensional data clustering

    Zhiwen Yu;Peinan Luo;Si Wu;Guoqiang Han

Frequent Co-Authors

Xiaobing Sun
Xiaobing Sun Yangzhou University
Baowen Xu
Baowen Xu Nanjing University
Jerry Gao
Jerry Gao San Jose State University
Xin Luo
Xin Luo Chinese Academy of Sciences
Yunni Xia
Yunni Xia Indiana University
Qingsheng Zhu
Qingsheng Zhu Chongqing University
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
Zhu-Hong You
Zhu-Hong You Chinese Academy of Sciences
Shuai Li
Shuai Li University of Oulu

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 opens doors to a wide range of in-demand online degrees and rewarding career paths. For those interested in related disciplines, the best online electrical engineering programs USA offer flexible options that blend well with tech-focused careers and can boost your industry credentials.

If you’re seeking quicker ways to enter the workforce, consider short certificate programs that pay well. These programs are designed to help you upskill fast and often lead to lucrative entry-level roles in IT, data analysis, or networking.

For those aiming for advanced qualifications in less time, explore the fastest online master's degree opportunities. These accelerated paths can help you move up in your current career or switch to a new specialization within a year.

Additionally, some of the most useful masters degrees are designed to match the needs of a tech-driven job market. Pursuing one of these valuable programs could give you a competitive edge and open up diverse job possibilities.

Best Scientists Citing Hareton Leung

Trending Scientists

Recently Published Articles