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

Shu-Cherng Fang publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Shu-Cherng Fang sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 277 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Shu-Cherng Fang D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Shu-Cherng Fang sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 41 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in expanding their career options beyond Mathematics, pursuing related online degrees can be a strategic choice. Many programs focus on blending quantitative skills with business acumen. For example, a cheap masters in finance offers affordable pathways to enter financial analysis, investment banking, and risk management.

Those looking to boost managerial skills and leadership potential might consider the quickest online mba programs. These accelerated options allow students to earn their degree without long breaks from their careers.

Marketing professionals with a quantitative edge can explore a master's degree in marketing, which combines data analytics and market research with marketing strategy to maximize earnings potential and career growth.

Additionally, many prefer the efficiency of a one year mba that balances in-depth business training with a shorter timeline, ideal for those seeking fast career advancement after a Mathematics degree.

Best Scientists Citing Shu-Cherng Fang

Trending Scientists

Recently Published Articles