World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
87
Citations
22874
World Ranking
740
National Ranking
115

Overview

Yong Deng is affiliated with the University of Electronic Science and Technology of China. Their research primarily focuses on the field of Computer Science, with extensive work in Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics, Computational Theory and Mathematics, and Statistics and Probability.

The scientist's main research topics include:

  • Multi-Criteria Decision Making
  • Bayesian Modeling and Causal Inference
  • Rough Sets and Fuzzy Logic
  • Statistical Mechanics and Entropy
  • Neural Networks and Applications
  • Fuzzy Systems and Optimization
  • Complex Network Analysis Techniques

Yong Deng has authored multiple papers, some of which have gained significant citations. Examples include:

  • Uncertainty Measure in Evidence Theory, 2020, published in Science China Information Sciences
  • Information Volume of Mass Function, 2020, published in International Journal of Computers Communications & Control
  • Random Permutation Set, 2022, published in International Journal of Computers Communications & Control

Frequent co-authors in Yong Deng's research activities include Qianli Zhou, Kang Hao Cheong, Lipeng Pan, Zhen Li, and Xiaozhuan Gao. The collaboration with these researchers reflects a consistent engagement with peers contributing to similar or complementary specializations.

In terms of publication venues, Yong Deng has contributed extensively to:

  • arXiv (Cornell University)
  • Information Sciences
  • Engineering Applications of Artificial Intelligence
  • Applied Intelligence
  • Soft Computing

Yong Deng has also authored a book titled China's Strategic Opportunity published by Cambridge University Press in 2022.

Best Publications

  • An improved method to construct basic probability assignment based on the confusion matrix for classification problem

    Xinyang Deng;Qi Liu;Yong Deng;Sankaran Mahadevan

  • Supplier selection using AHP methodology extended by D numbers

    Xinyang Deng;Yong Hu;Yong Deng;Yong Deng;Sankaran Mahadevan

  • Short communication: Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment

    Yong Deng;Yuxin Chen;Yajuan Zhang;Sankaran Mahadevan

  • Uncertainty measure in evidence theory

    Yong Deng

  • A new fuzzy dempster MCDM method and its application in supplier selection

    Yong Deng;Felix T. S. Chan

  • Generalized evidence theory

    Yong Deng

  • Determine the Number of Unknown Targets in Open World Based on Elbow Method

    Fan Liu;Yong Deng

  • Dependent Evidence Combination Based on Shearman Coefficient and Pearson Coefficient

    Honghui Xu;Yong Deng

  • A Method of Converting Z-number to Classical Fuzzy Number

    Bingyi Kang;Daijun Wei;Ya Li;Yong Deng

  • Identifying influential nodes in weighted networks based on evidence theory

    Daijun Wei;Daijun Wei;Xinyang Deng;Xiaoge Zhang;Yong Deng;Yong Deng

  • Evidential Supplier Selection Based on DEMATEL and Game Theory

    Tianyu Liu;Tianyu Liu;Yong Deng;Yong Deng;Yong Deng;Felix T. S. Chan

  • A new method of identifying influential nodes in complex networks based on TOPSIS

    Yuxian Du;Cai Gao;Yong Hu;Sankaran Mahadevan

  • An Improved Genetic Algorithm with Initial Population Strategy for Symmetric TSP

    Yong Deng;Yang Liu;Deyun Zhou

  • Combining conflicting evidence using the DEMATEL method

    Weiquan Zhang;Yong Deng

  • An evidential DEMATEL method to identify critical success factors in emergency management

    Ya Li;Yong Hu;Xiaoge Zhang;Yong Deng;Yong Deng

  • Preparation of paraffin/expanded vermiculite with enhanced thermal conductivity by implanting network carbon in vermiculite layers

    Wei-min Guan;Jin-hong Li;Ting-ting Qian;Xiang Wang

  • Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP

    Xiaoyan Su;Sankaran Mahadevan;Peida Xu;Yong Deng

  • D-DEMATEL: a new method to identify critical success factors in emergency management

    Xinyi Zhou;Yangqiuyan Shi;Xinyang Deng;Yong Deng

  • Failure Mode and Effects Analysis Based on D Numbers and Topsis

    Tian Bian;Tian Bian;Haoyang Zheng;Likang Yin;Yong Deng;Yong Deng

  • Evaluating Sensor Reliability in Classification Problems Based on Evidence Theory

    Huawei Guo;Wenkang Shi;Yong Deng

  • Ranking fuzzy numbers with an area method using radius of gyration

    Yong Deng;Zhu Zhenfu;Liu Qi

Frequent Co-Authors

Sankaran Mahadevan
Sankaran Mahadevan Vanderbilt University
Xinyang Deng
Xinyang Deng Northwestern Polytechnical University
Rehan Sadiq
Rehan Sadiq University of British Columbia
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Wen Jiang
Wen Jiang Northwestern Polytechnical University
Andrew Adamatzky
Andrew Adamatzky University of the West of England
Hai Yang
Hai Yang Hong Kong University of Science and Technology
Xin-She Yang
Xin-She Yang Middlesex University
Kasun Hewage
Kasun Hewage University of British Columbia
Dong Wang
Dong Wang Peking University

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