World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11259
World Ranking
5828
National Ranking
771

Overview

Yi Peng is affiliated with the University of Electronic Science and Technology of China. Their research primarily spans the field of Computer Science, with considerable work focused on Management Science and Operations Research, Artificial Intelligence, Accounting, Economics and Econometrics, and Statistical and Nonlinear Physics.

The core topics Yi Peng addresses in their research include:

  • Multi-Criteria Decision Making
  • Financial Distress and Bankruptcy Prediction
  • Imbalanced Data Classification Techniques
  • Optimization and Mathematical Programming
  • Game Theory and Applications
  • Complex Network Analysis Techniques
  • Experimental Behavioral Economics Studies

Yi Peng has contributed research papers to several academic journals. Frequent venues of publication include:

  • Information Sciences
  • Journal of the Operational Research Society
  • Technological and Economic Development of Economy
  • European Journal of Operational Research
  • IEEE Transactions on Systems Man and Cybernetics Systems

Recent published papers authored or co-authored by Yi Peng include:

  • Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2020, Decision Support Systems)
  • Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion (2020, European Journal of Operational Research)
  • Consensus reaching process in large-scale group decision making based on bounded confidence and social network (2022, European Journal of Operational Research)
  • An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data (2021, IEEE Transactions on Cybernetics)
  • Heterogeneous Large-Scale Group Decision Making Using Fuzzy Cluster Analysis and Its Application to Emergency Response Plan Selection (2021, IEEE Transactions on Systems Man and Cybernetics Systems)

Yi Peng collaborates regularly with several researchers, including Gang Kou, Tie Li, Xiangrui Chao, Fawaz E. Alsaadi, and Philip S. Yu. This network of frequent coauthors reflects a multidisciplinary approach to the topics studied.

Best Publications

  • Evaluation of clustering algorithms for financial risk analysis using MCDM methods

    Gang Kou;Yi Peng;Guoxun Wang

  • EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION

    Gang Kou;Yanqun Lu;Yi Peng;Yong Shi

  • A descriptive framework for the field of data mining and knowledge discovery

    Yong Shi;Zhengxin Chen;Yi Peng

  • Soft consensus cost models for group decision making and economic interpretations

    Huanhuan Zhang;Gang Kou;Yi Peng

  • Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

    Gang Kou;Yong Xu;Yi Peng;Feng Shen

  • The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

    Daji Ergu;Gang Kou;Yi Peng;Yong Shi

  • Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods

    Gang Kou;Pei Yang;Yi Peng;Feng Xiao

  • Optimization Based Data Mining: Theory and Applications

    Yong Shi;Yingjie Tian;Gang Kou;Yi Peng

  • Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion

    Xiangrui Chao;Gang Kou;Yi Peng;Enrique Herrera Viedma;Enrique Herrera Viedma

  • A Group Decision Making Model for Integrating Heterogeneous Information

    Guangxu Li;Gang Kou;Yi Peng

  • Machine learning methods for systemic risk analysis in financial sectors

    Gang Kou;Xiangrui Chao;Yi Peng;Fawaz E. Alsaadi

  • A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP

    Daji Ergu;Daji Ergu;Gang Kou;Yi Peng;Yong Shi;Yong Shi

  • Understanding influence power of opinion leaders in e-commerce networks: An opinion dynamics theory perspective

    Yiyi Zhao;Gang Kou;Yi Peng;Yang Chen

  • FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms

    Yi Peng;Gang Kou;Guoxun Wang;Yong Shi

  • An incident information management framework based on data integration, data mining, and multi-criteria decision making

    Yi Peng;Yong Zhang;Yu Tang;Shiming Li

  • An empirical study of classification algorithm evaluation for financial risk prediction

    Yi Peng;Guoxun Wang;Gang Kou;Yong Shi

  • ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP-BASED EVALUATION METHOD

    Yi Peng;Gang Kou;Guoxun Wang;Wenshuai Wu

  • An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data.

    Tie Li;Gang Kou;Yi Peng;Philip S. Yu

  • Heterogeneous Large-Scale Group Decision Making Using Fuzzy Cluster Analysis and Its Application to Emergency Response Plan Selection

    Guangxu Li;Gang Kou;Yi Peng

  • DATA MINING VIA MULTIPLE CRITERIA LINEAR PROGRAMMING: APPLICATIONS IN CREDIT CARD PORTFOLIO MANAGEMENT

    Yong Shi;Yi Peng;Weixuan Xu;Xiaowo Tang

  • Network Intrusion Detection

    Yong Shi;Yong Shi;Yingjie Tian;Gang Kou;Yi Peng

  • Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning

    Min Peng;Yi Peng;Hong Chen

Frequent Co-Authors

Gang Kou
Gang Kou Southwestern University of Finance and Economics
Yong Shi
Yong Shi Chinese Academy of Sciences
Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Honggang Wang
Honggang Wang University of Massachusetts Dartmouth
Shouyang Wang
Shouyang Wang Chinese Academy of Sciences
Yucheng Dong
Yucheng Dong Sichuan University
Lean Yu
Lean Yu Academy of Mathematics and Systems Science
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University

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