World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
6395
World Ranking
8086
National Ranking
1061

Overview

Jacky Keung is affiliated with City University of Hong Kong in China and focuses on research within the field of Computer Science. Their work primarily intersects with subfields such as Artificial Intelligence, Information Systems, Software, Computer Networks and Communications, and Signal Processing.

The scientist's main research topics include:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Topic Modeling
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection

Keung has published extensively, with a strong presence in notable academic journals and platforms. Frequent publication venues include:

  • Information and Software Technology
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Software Engineering
  • Journal of Systems and Software

Recent papers demonstrate a focus on software defect prediction, class imbalance issues, scheduling for cloud platforms, and software system optimization:

  • "Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction" (2021, Information and Software Technology)
  • "COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction" (2020, Information and Software Technology)
  • "A systematic review of scheduling approaches on multi-tenancy cloud platforms" (2020, Information and Software Technology)
  • "Predicting the precise number of software defects: Are we there yet?" (2022, Information and Software Technology)
  • "Improving the undersampling technique by optimizing the termination condition for software defect prediction" (2023, Expert Systems with Applications)

Their collaborative network features several frequent co-authors, including:

  • Xiao Yu
  • Zhen Yang
  • Xiaoxue Ma
  • Yan Xiao
  • Fengji Zhang

Best Publications

  • Empirical prediction models for adaptive resource provisioning in the cloud

    Sadeka Islam;Jacky Keung;Kevin Lee;Anna Liu

  • On the Value of Ensemble Effort Estimation

    E. Kocaguneli;T. Menzies;J. W. Keung

  • Robust Statistical Methods for Empirical Software Engineering

    Barbara Kitchenham;Lech Madeyski;David Budgen;Jacky Keung

  • Exploiting the Essential Assumptions of Analogy-Based Effort Estimation

    E. Kocaguneli;T. Menzies;A. Bener;J. W. Keung

  • MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction

    Kwabena Ebo Bennin;Jacky Keung;Passakorn Phannachitta;Akito Monden

  • Systematic literature review and empirical investigation of barriers to process improvement in global software development

    Arif Ali Khan;Jacky Keung;Mahmood Niazi;Shahid Hussain

  • Analogy-X: Providing Statistical Inference to Analogy-Based Software Cost Estimation

    J.W. Keung;B.A. Kitchenham;D.R. Jeffery

  • Evaluating guidelines for reporting empirical software engineering studies

    Barbara Kitchenham;Hiyam Al-Khilidar;Muhammed Ali Babar;Mike Berry

  • Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction

    Shuo Feng;Jacky Keung;Xiao Yu;Yan Xiao

  • Systematic review of success factors and barriers for software process improvement in global software development

    Arif Ali Khan;Jacky Keung

  • COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction

    Shuo Feng;Jacky Keung;Xiao Yu;Yan Xiao

  • Application migration to cloud: a taxonomy of critical factors

    Van Tran;Jacky Keung;Anna Liu;Alan Fekete

  • Active learning and effort estimation: Finding the essential content of software effort estimation data

    E. Kocaguneli;T. Menzies;J. Keung;D. Cok

  • Improving bug localization with word embedding and enhanced convolutional neural networks

    Yan Xiao;Jacky Keung;Kwabena Ebo Bennin;Qing Mi

  • On the relative value of data resampling approaches for software defect prediction

    Kwabena Ebo Bennin;Jacky W. Keung;Akito Monden

  • SPIIMM: Toward a Model for Software Process Improvement Implementation and Management in Global Software Development

    Arif Ali Khan;Jacky W. Keung;Fazal-E-Amin;M. Abdullah-Al-Wadud

  • Finding conclusion stability for selecting the best effort predictor in software effort estimation

    Jacky Keung;Ekrem Kocaguneli;Tim Menzies

  • Software design patterns classification and selection using text categorization approach

    Shahid Hussain;Jacky Keung;Arif Ali Khan

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

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

  • Software Development Cost Estimation Using Analogy: A Review

    Jacky Keung

Frequent Co-Authors

Tim Menzies
Tim Menzies North Carolina State University
Kenichi Matsumoto
Kenichi Matsumoto Nara Institute of Science and Technology
Barbara Kitchenham
Barbara Kitchenham Keele University
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
John Grundy
John Grundy Monash University
Mahmood Niazi
Mahmood Niazi King Fahd University of Petroleum and Minerals
Yun Yang
Yun Yang Swinburne University of Technology
W. K. Chan
W. K. Chan City University of Hong Kong
Yasutaka Kamei
Yasutaka Kamei Kyushu University
Stephen G. MacDonell
Stephen G. MacDonell Victoria University of Wellington

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 can open doors to other in-demand fields through online education. Many students consider expanding their expertise by enrolling in interdisciplinary programs or specialized degrees that complement their tech skills.

For those interested in environmental sustainability, environmental engineering schools online offer flexible paths to careers designing eco-friendly solutions. Similarly, an online degree in mechanical engineering can lead to roles in robotics, manufacturing, or product design.

If you're curious about the underlying principles behind technology, pursuing the best online physics degree could provide a strong analytical foundation for research or advanced engineering positions. Data-driven careers are also rising in popularity; many seek what is the cheapest data science course in the us? to gain expertise in AI, analytics, or business intelligence.

Each of these related pathways offers online, affordable options, making it easier to tailor your education and career to your evolving interests in technology and science.

Best Scientists Citing Jacky Keung

Trending Scientists

Recently Published Articles