World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
7859
World Ranking
1892
National Ranking
805

Engineering and Technology

D-Index
42
Citations
8083
World Ranking
6478
National Ranking
1775

Overview

Shu-Cherng Fang is affiliated with North Carolina State University in the United States. Their research spans multiple fields including Business, Management and Accounting, Computer Science, and Engineering, with a total of 79 publications distributed across these areas.

Their subfields of study emphasize Strategy and Management, Management Information Systems, Management Science and Operations Research, Numerical Analysis, and Artificial Intelligence. These areas reflect a strong interdisciplinary approach combining management principles with computational and analytical techniques.

The main topics of Fang's work include:

  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management
  • Advanced Optimization Algorithms Research
  • Supply Chain Resilience and Risk Management
  • Sparse and Compressive Sensing Techniques
  • Vehicle Routing Optimization Methods
  • Machine Learning and ELM

They have published recent papers in influential journals addressing various operational and computational challenges. Selected papers include:

  • A robust support vector regression model for electric load forecasting, 2022, International Journal of Forecasting
  • Heterogeneous multi-depot collaborative vehicle routing problem, 2022, Transportation Research Part B Methodological
  • Selecting green third party logistics providers for a loss-averse fourth party logistics provider in a multiattribute reverse auction, 2020, Information Sciences
  • A kernel-free double well potential support vector machine with applications, 2020, European Journal of Operational Research
  • A novel kernel-free least squares twin support vector machine for fast and accurate multi-class classification, 2021, Knowledge-Based Systems

Fang frequently collaborates with other researchers including Zheming Gao, Min Huang, Jian Luo, Xingwei Wang, and Han-Lin Li. These partnerships have resulted in multiple coauthored papers, with Gao and Huang each appearing seven times alongside Fang.

Their work has been published repeatedly in venues such as:

  • SSRN Electronic Journal
  • International Journal of Production Economics
  • Advances in Pure Mathematics
  • International Journal of Production Research
  • European Journal of Operational Research

Best Publications

  • Fuzzy data envelopment analysis (DEA): a possibility approach☆

    Saowanee Lertworasirikul;Saowanee Lertworasirikul;Shu-Cherng Fang;Jeffrey A. Joines;Henry L.W. Nuttle

  • Linear Optimization and Extensions: Theory and Algorithms

    Shu-Cherng Fang;Sarat Puthenpura

  • Entropy Optimization and Mathematical Programming

    Shu-Cherng Fang;J. R. Rajasekera;H.-S. J. Tsao

  • Solving fuzzy relation equations with a linear objective function

    Shu-Cherng Fang;Guangzhi Li

  • Generalized variational inequalities

    S. C. Fang;E. L. Peterson

  • On the Convergence of a Population-Based Global Optimization Algorithm

    Şevket İlker Birbil;Shu-Cherng Fang;Ruey-Lin Sheu

  • Optimization of fuzzy relation equations with max-product composition

    Jiranut Loetamonphong;Shu-Cherng Fang

  • Solving nonlinear optimization problems with fuzzy relation equation constraints

    Jianjun Lu;Shu-Cherng Fang

  • Pricing policies for substitutable products in a supply chain with Internet and traditional channels

    Yun Chu Chen;Shu-Cherng Fang;Ue-Pyng Wen

  • Linear programming with fuzzy coefficients in constraints

    S.-C. Fang;C.-F. Hu;H.-F. Wang;S.-Y. Wu

  • On the resolution and optimization of a system of fuzzy relational equations with sup-T composition

    Pingke Li;Shu-Cherng Fang

  • Benchmarking robustness of load forecasting models under data integrity attacks

    Jian Luo;Tao Hong;Tao Hong;Shu-Cherng Fang

  • On the entropic regularization method for solving min-max problems with applications

    Xing-Si Li;Shu-Cherng Fang

  • An efficient solution procedure for fuzzy relation equations with max-product composition

    J. Loetamonphong;Shu-Cherng Fang

  • Fuzzy BCC Model for Data Envelopment Analysis

    Saowanee Lertworasirikul;Shu-Cherng Fang;Henry L. W. Nuttle;Jeffrey A. Joines

  • Neurocomputing with time delay analysis for solving convex quadratic programming problems

    Yen-Hung Chen;Shu-Cherng Fang

  • Multi-objective optimization problems with fuzzy relation equation constraints

    Jiranut Loetamonphong;Shu-Cherng Fang;Robert E. Young

  • Inverse data envelopment analysis model to preserve relative efficiency values: The case of variable returns to scale

    Saowanee Lertworasirikul;Peerayuth Charnsethikul;Shu-Cherng Fang

  • Relaxed conditions for radial-basis function networks to be universal approximators

    Yi Liao;Shu-Cherng Fang;Henry L. W. Nuttle

  • A survey on fuzzy relational equations, part I: classification and solvability

    Pingke Li;Shu-Cherng Fang

Frequent Co-Authors

David Yang Gao
David Yang Gao Federation University Australia
Chih-Jen Lin
Chih-Jen Lin National Taiwan University
Dingwei Wang
Dingwei Wang Northeastern University
Xiuli Chao
Xiuli Chao University of Michigan–Ann Arbor
Zheng-Hai Huang
Zheng-Hai Huang Tianjin University
Duan Li
Duan Li City University of Hong Kong
David L. Olson
David L. Olson University of Nebraska–Lincoln
Shuzhong Zhang
Shuzhong Zhang University of Minnesota
John R. Birge
John R. Birge University of Chicago
Desheng Dash Wu
Desheng Dash Wu Chinese Academy of Sciences

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