World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6661
World Ranking
8885
National Ranking
355

Overview

JingTao Yao is affiliated with the University of Regina in Canada and has contributed extensively to the field of computer science, focusing on areas such as artificial intelligence, computational theory and mathematics, computer vision and pattern recognition, electrical and electronic engineering, and management science and operations research.

The scientist's research primarily encompasses core topics including rough sets and fuzzy logic, imbalanced data classification techniques, anomaly detection techniques and applications, text and document classification technologies, data mining algorithms and applications, and computational drug discovery methods.

Yao's publication record includes multiple papers across various journals and conferences. Recent papers include:

  • A three-way density peak clustering method based on evidence theory, 2020, Knowledge-Based Systems
  • Online pricing of demand response based on long short-term memory and reinforcement learning, 2020, Applied Energy
  • A three-way clustering approach for novelty detection, 2021, Information Sciences
  • Influence of Individual-technology-task-environment Fit on University Student Online Learning Performance: The Mediating Role of Behavioral, Emotional, and Cognitive Engagement, 2023, Education and Information Technologies
  • Formal concept analysis, rough sets, and three-way decisions, 2021, International Journal of Approximate Reasoning

The venues where Yao frequently publishes include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • International Journal of Approximate Reasoning
  • Knowledge-Based Systems
  • Applied Energy

Several coauthors have frequently collaborated with Yao, notably Nouman Azam, Yiyu Yao, Hui Yu, Anwar Shah, and Bahar Ali.

In addition to journal publications, Yao has contributed to book literature with a publication under Springer Science+Business Media. The book titled "Rough Sets" was published in 2022.

Best Publications

  • Granular Computing: Perspectives and Challenges

    Jing Tao Yao;Athanasios V. Vasilakos;Witold Pedrycz

  • A case study on using neural networks to perform technical forecasting of forex

    Jingtao Yao;Chew Lim Tan

  • Option price forecasting using neural networks

    Jingtao Yao;Yili Li;Chew Lim Tan

  • NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI

    Jingtao Yao;Chew Lim Tan;Hean-Lee Poh

  • Game-Theoretic Rough Sets

    Joseph P. Herbert;Jingtao Yao

  • Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets

    JingTao Yao;Nouman Azam

  • Comparison of term frequency and document frequency based feature selection metrics in text categorization

    Nouman Azam;JingTao Yao

  • Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets

    Nouman Azam;Jingtao Yao

  • Induction of Classification Rules by Granular Computing

    J. T. Yao;Y. Y. Yao

  • A Ten-year Review of Granular Computing

    JingTao Yao

  • Modelling Multi-agent Three-way Decisions with Decision-theoretic Rough Sets

    Xiaoping Yang;Jingtao Yao

  • A three-way clustering approach for handling missing data using GTRS

    Mohammad Khan Afridi;Nouman Azam;JingTao Yao;Eisa Alanazi

  • Granular Computing as a Basis for Consistent Classification Problems

    Y.Y. Yao;J.T. Yao

  • Game theoretic approach to shadowed sets: A three-way tradeoff perspective

    Yan Zhang;JingTao Yao

  • Information granulation and granular relationships

    J.T. Yao

  • A study on fuzzy intrusion detection

    Jingtao Yao;Songlun Zhao;Lawrence V. Saxton

  • A New Improved K-Means Algorithm with Penalized Term

    Zejin Ding;Jian Yu;Yan-Qing Zhang

  • A three-way density peak clustering method based on evidence theory

    Hui Yu;LuYuan Chen;JingTao Yao

  • Forecasting and Analysis of Marketing Data Using Neural Networks

    Jingtao Yao;Nicholas Teng;Hean-Lee Poh;Chew Lim Tan

  • A rough sets based approach to feature selection

    M. Zhang;J.T. Yao

  • Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation

    JingTao Yao

Frequent Co-Authors

Yiyu Yao
Yiyu Yao University of Regina
Chew Lim Tan
Chew Lim Tan National University of Singapore
Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Vijay V. Raghavan
Vijay V. Raghavan University of Louisiana at Lafayette
Pawan Lingras
Pawan Lingras Saint Mary's University
Dun Liu
Dun Liu Southwest Jiaotong University
Duoqian Miao
Duoqian Miao Tongji University
Wojciech Ziarko
Wojciech Ziarko University of Regina
Nick Cercone
Nick Cercone York University
Witold Pedrycz
Witold Pedrycz University of Alberta

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