World's Best Scientists 2026 revealed!
Ying-Ming Wang

Ying-Ming Wang

D-Index & Metrics

Business and Management

D-Index
70
Citations
19339
World Ranking
308
National Ranking
21

Engineering and Technology

D-Index
72
Citations
21274
World Ranking
905
National Ranking
159

Ying-Ming Wang publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Ying-Ming Wang sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 212 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Ying-Ming Wang D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Ying-Ming Wang sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 70 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Overview

Ying-Ming Wang is affiliated with Fuzhou University in China. Their research spans across multiple fields and subfields within computer science and decision sciences, with a focus on management science, operations research, and artificial intelligence.

Their main fields of study include:

  • Computer Science
  • Decision Sciences

Within these areas, Wang's notable subfields of study are:

  • Management Science and Operations Research
  • Artificial Intelligence
  • Control and Systems Engineering
  • Organizational Behavior and Human Resource Management
  • Economics and Econometrics

Their research topics cover a range of subjects such as:

  • Multi-Criteria Decision Making
  • Efficiency Analysis Using DEA
  • Bayesian Modeling and Causal Inference
  • Optimization and Mathematical Programming
  • Facility Location and Emergency Management
  • Cognitive Science and Mapping
  • Fuzzy Systems and Optimization

Ying-Ming Wang has contributed significantly to scholarly literature, with publications frequently appearing in:

  • Expert Systems with Applications
  • Computers & Industrial Engineering
  • Soft Computing
  • Information Sciences
  • Knowledge-Based Systems

Their recent papers include:

  • Anchor DETR: Query Design for Transformer-Based Detector, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations, 2020, Information Fusion
  • An extended TODIM approach for group emergency decision making based on bidirectional projection with hesitant triangular fuzzy sets, 2020, Computers & Industrial Engineering
  • Multi-attribute group decision making method based on prospect theory under hesitant probabilistic fuzzy environment, 2020, Computers & Industrial Engineering
  • A shadowed set-based TODIM method and its application to large-scale group decision making, 2020, Information Sciences

Wang collaborates frequently with a group of scholars including Xiaohong Pan, Mark Goh, Long-Hao Yang, Luis Martínez, and Quanyu Ding.

Best Publications

  • Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment

    Ying Ming Wang;Taha M S Elhag

  • On the extent analysis method for fuzzy AHP and its applications

    Ying-Ming Wang;Ying Luo;Zhongsheng Hua

  • Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean

    Ying-Ming Wang;Kwai-Sang Chin;Gary Ka Kwai Poon;Jian-Bo Yang

  • Environmental impact assessment using the evidential reasoning approach

    Ying Ming Wang;Ying Ming Wang;Jian Bo Yang;Dong Ling Xu

  • On the centroids of fuzzy numbers

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu;Kwai-Sang Chin

  • Interval efficiency assessment using data envelopment analysis

    Ying-Ming Wang;Richard Greatbanks;Jian-Bo Yang

  • Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making

    Ying-Ming Wang;Ying Luo

  • The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties

    Jian-Bo Yang;Jian-Bo Yang;Y. M. Wang;Y. M. Wang;Dong-Ling Xu;Kwai-Sang Chin

  • Failure mode and effects analysis using a group-based evidential reasoning approach

    Kwai-Sang Chin;Ying-Ming Wang;Gary Ka Kwai Poon;Jian-Bo Yang

  • A two-stage logarithmic goal programming method for generating weights from interval comparison matrices

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • Fuzzy analytic hierarchy process: A logarithmic fuzzy preference programming methodology

    Unknown

  • A neutral DEA model for cross-efficiency evaluation and its extension

    Ying-Ming Wang;Kwai-Sang Chin

  • The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees

    Ying Ming Wang;Ying Ming Wang;Ying Ming Wang;Jian Bo Yang;Dong Ling Xu;Kwai Sang Chin

  • An integrated AHP-DEA methodology for bridge risk assessment

    Ying-Ming Wang;Jun Liu;Taha M. S. Elhag

  • On rank reversal in decision analysis

    Ying-Ming Wang;Ying Luo

  • Failure mode and effects analysis by data envelopment analysis

    Kwai-Sang Chin;Ying-Ming Wang;Gary Ka Kwai Poon;Jian-Bo Yang

  • A preference aggregation method through the estimation of utility intervals

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • On the normalization of interval and fuzzy weights

    Ying-Ming Wang;Ying-Ming Wang;Taha M.S. Elhag

  • A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process

    Ying-Ming Wang;Taha M.S. Elhag;Zhongsheng Hua

  • Some alternative models for DEA cross-efficiency evaluation

    Ying-Ming Wang;Kwai-Sang Chin

  • A minimax disparity approach for obtaining OWA operator weights

    Ying-Ming Wang;Celik Parkan

Frequent Co-Authors

Kwai-Sang Chin
Kwai-Sang Chin City University of Hong Kong
Jian-Bo Yang
Jian-Bo Yang University of Manchester
Dong-Ling Xu
Dong-Ling Xu University of Manchester
Luis Martínez
Luis Martínez University of Jaén
Fujun Lai
Fujun Lai University of Southern Mississippi
Zhongsheng Hua
Zhongsheng Hua Zhejiang University
Rosa M. Rodríguez
Rosa M. Rodríguez University of Jaén
Liang Liang
Liang Liang Hefei University of Technology
Mark Goh
Mark Goh National University of Singapore

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