World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
11145
World Ranking
3689
National Ranking
493

Overview

Zhi-Ping Fan is affiliated with Northeastern University in China and has a significant body of research in the areas of business, management, and engineering. Their work addresses various topics such as supply chain and inventory management, consumer market behavior, pricing strategies, and the application of blockchain technology.

Their research contributions span several subfields, including marketing, management information systems, strategy and management, automotive engineering, as well as sociology and political science.

Key topics covered by their research include:

  • Supply Chain and Inventory Management
  • Consumer Market Behavior and Pricing
  • Transportation and Mobility Innovations
  • Sustainable Supply Chain Management
  • Blockchain Technology Applications and Security
  • Sharing Economy and Platforms
  • Electric Vehicles and Infrastructure

Some of Zhi-Ping Fan's recent publications include:

  • "Considering the traceability awareness of consumers: should the supply chain adopt the blockchain technology?", 2020, Annals of Operations Research
  • "An analysis of strategies for adopting blockchain technology in the fresh product supply chain", 2021, International Journal of Production Research
  • "Green subsidy modes and pricing strategy in a capital-constrained supply chain", 2020, Transportation Research Part E Logistics and Transportation Review
  • "Tourism demand forecasting with time series imaging: A deep learning model", 2021, Annals of Tourism Research
  • "Processes and methods of information fusion for ranking products based on online reviews: An overview", 2020, Information Fusion

Zhi-Ping Fan has frequently published in multiple respected journals, which include:

  • International Transactions in Operational Research
  • Transportation Research Part E Logistics and Transportation Review
  • Computers & Industrial Engineering
  • European Journal of Operational Research
  • International Journal of Production Research

The scientist has collaborated extensively with several coauthors over multiple projects. Notable frequent collaborators are:

  • Minghe Sun
  • Zhongwei Chen
  • Xiaohuan Wang
  • Zhong Du
  • Xue-Yan Wu

In addition to journal articles, Zhi-Ping Fan has published books, including a contribution to the book titled Advances in Simulation and Process Modelling published by Springer Nature in 2021.

Best Publications

  • A subjective and objective integrated approach to determine attribute weights

    Jian Ma;Zhi-Ping Fan;Li-Hua Huang

  • Ranking products through online reviews

    Yang Liu;Jian-Wu Bi;Zhi-Ping Fan

  • An approach to multiple attribute decision making based on fuzzy preference information on alternatives

    Zhi-Ping Fan;Jian Ma;Quan Zhang

  • Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis

    Zhi-Ping Fan;Yu-Jie Che;Zhen-Yu Chen

  • Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews

    Jian-Wu Bi;Yang Liu;Zhi-Ping Fan;Jin Zhang

  • A method for repairing the inconsistency of fuzzy preference relations

    Jian Ma;Zhi-Ping Fan;Yan-Ping Jiang;Ji-Ye Mao

  • A method for group decision making with multi-granularity linguistic assessment information

    Yan-Ping Jiang;Zhi-Ping Fan;Jian Ma

  • Risk decision analysis in emergency response: A method based on cumulative prospect theory

    Yang Liu;Zhi-Ping Fan;Yao Zhang

  • Multi-class sentiment classification

    Yang Liu;Jian-Wu Bi;Zhi-Ping Fan

  • Extended TODIM method for hybrid multiple attribute decision making problems

    Zhi-Ping Fan;Xiao Zhang;Fa-Dong Chen;Yang Liu

  • Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model

    Jian-Wu Bi;Yang Liu;Zhi-Ping Fan;Erik Cambria

  • A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm

    Yang Liu;Jian-Wu Bi;Zhi-Ping Fan

  • Ranking L-R fuzzy number based on deviation degree

    Zhong-Xing Wang;Yong-Jun Liu;Zhi-Ping Fan;Bo Feng

  • Considering the traceability awareness of consumers: should the supply chain adopt the blockchain technology?

    Zhi-Ping Fan;Xue-Yan Wu;Bing-Bing Cao

  • A method for group decision-making based on multi-granularity uncertain linguistic information

    Zhi-Ping Fan;Yang Liu

  • A goal programming approach to group decision making based on multiplicative preference relations and fuzzy preference relations

    Zhi-Ping Fan;Jian Ma;Yan-Ping Jiang;Yong-Hong Sun

  • A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data

    Zhen Yu Chen;Zhi Ping Fan;Minghe Sun

  • An analysis of strategies for adopting blockchain technology in the fresh product supply chain

    Xue-Yan Wu;Zhi-Ping Fan;Bing-Bing Cao

  • An optimization method for selecting project risk response strategies

    Yao Zhang;Zhi-Ping Fan

  • Evaluating knowledge management capability of organizations: a fuzzy linguistic method

    Zhi-Ping Fan;Bo Feng;Yong-Hong Sun;Wei Ou

  • A method for large group decision-making based on evaluation information provided by participators from multiple groups

    Yang Liu;Zhi-Ping Fan;Xiao Zhang

Frequent Co-Authors

Jian Ma
Jian Ma City University of Hong Kong
Jiafu Tang
Jiafu Tang Dongbei University of Finance and Economics
Ying-Ming Wang
Ying-Ming Wang Fuzhou University
Erik Cambria
Erik Cambria Nanyang Technological University
W. H. Ip
W. H. Ip Hong Kong Polytechnic University
Yucheng Dong
Yucheng Dong Sichuan University
Dingwei Wang
Dingwei Wang Northeastern University
Shu-Cherng Fang
Shu-Cherng Fang North Carolina State University
Zhongsheng Hua
Zhongsheng Hua Zhejiang University
Bo Xu
Bo Xu Nanjing University of Science and Technology

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