World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7050
World Ranking
6603
National Ranking
55

Ting-Yu Chen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ting-Yu Chen sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 154 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ting-Yu Chen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ting-Yu Chen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Ting-Yu Chen is affiliated with Chang Gung University in Taiwan. Their research primarily focuses on decision sciences and engineering, with significant contributions to subfields such as management science and operations research, control and systems engineering, statistics and probability, molecular biology, and artificial intelligence.

The scientist's work spans multiple topics, including:

  • Multi-Criteria Decision Making
  • Optimization and Mathematical Programming
  • Fuzzy Systems and Optimization
  • Soil and Land Suitability Analysis
  • Rough Sets and Fuzzy Logic
  • Sustainable Supply Chain Management
  • Intuitionistic Fuzzy Systems Applications

Ting-Yu Chen has published frequently in various academic venues. Among the most common are:

  • Advanced Engineering Informatics
  • Artificial Intelligence Review
  • Journal of Natural Fibers
  • Engineering Applications of Artificial Intelligence
  • Expert Systems with Applications

Frequent collaborators include Fang Zhou, Jing Ye, Jih-Chang Wang, Qirong Yang, and Jie Zhu, reflecting active cooperation within their research community.

Representative recent publications by Ting-Yu Chen include:

  • A circular intuitionistic fuzzy evaluation method based on distances from the average solution to support multiple criteria intelligent decisions involving uncertainty, 2022, Engineering Applications of Artificial Intelligence
  • Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions, 2022, Artificial Intelligence Review

Other notable papers from the broader research group or coauthors include:

  • A Lip Reading Method Based on 3D Convolutional Vision Transformer, 2022, IEEE Access
  • Therapeutic Effect of a Newly Isolated Lytic Bacteriophage against Multi-Drug-Resistant Cutibacterium acnes Infection in Mice, 2021, International Journal of Molecular Sciences
  • An Integrated Multicriteria Group Decision-Making Approach for Green Supplier Selection Under Pythagorean Fuzzy Scenarios, 2020, IEEE Access

Best Publications

  • The interval-valued fuzzy TOPSIS method and experimental analysis

    Ting-Yu Chen;Chueh-Yung Tsao

  • Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis

    Ting-Yu Chen;Chia-Hang Li

  • The ELECTRE multicriteria analysis approach based on Atanassov's intuitionistic fuzzy sets

    Ming-Che Wu;Ting-Yu Chen

  • The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making

    Ting-Yu Chen;Chien-Hung Chang;Jui-fen Rachel Lu

  • A multicriteria group decision-making approach based on interval-valued intuitionistic fuzzy sets

    Ting-Yu Chen;Hsiao-Pin Wang;Yen-Yu Lu

  • Remoteness index-based Pythagorean fuzzy VIKOR methods with a generalized distance measure for multiple criteria decision analysis

    Ting-Yu Chen;Ting-Yu Chen

  • The inclusion-based TOPSIS method with interval-valued intuitionistic fuzzy sets for multiple criteria group decision making

    Ting-Yu Chen

  • An ELECTRE-based outranking method for multiple criteria group decision making using interval type-2 fuzzy sets

    Ting-Yu Chen

  • A comparative analysis of score functions for multiple criteria decision making in intuitionistic fuzzy settings

    Ting-Yu Chen

  • A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets

    Ting-Yu Chen

  • Interval-valued intuitionistic fuzzy QUALIFLEX method with a likelihood-based comparison approach for multiple criteria decision analysis

    Ting-Yu Chen

  • Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: Discussions on score functions and weight constraints

    Ting-Yu Chen

  • A PROMETHEE-based outranking method for multiple criteria decision analysis with interval type-2 fuzzy sets

    Ting-Yu Chen

  • Bivariate models of optimism and pessimism in multi-criteria decision-making based on intuitionistic fuzzy sets

    Ting-Yu Chen

  • A note on distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric

    Ting-Yu Chen

  • Multiple criteria group decision-making with generalized interval-valued fuzzy numbers based on signed distances and incomplete weights

    Ting-Yu Chen

  • A weight-assessing method with habitual domains

    Gwo-Hshiung Tzeng;Ting-Yu Chen;Jih-Chang Wang

  • An interval-valued intuitionistic fuzzy LINMAP method with inclusion comparison possibilities and hybrid averaging operations for multiple criteria group decision making

    Ting-Yu Chen

  • Objective weights with intuitionistic fuzzy entropy measures and computational experiment analysis

    Ting-Yu Chen;Chia-Hang Li

  • A prioritized aggregation operator-based approach to multiple criteria decision making using interval-valued intuitionistic fuzzy sets: A comparative perspective

    Ting-Yu Chen

  • An interval-valued intuitionistic fuzzy permutation method with likelihood-based preference functions and its application to multiple criteria decision analysis

    Ting-Yu Chen

  • New Chebyshev distance measures for Pythagorean fuzzy sets with applications to multiple criteria decision analysis using an extended ELECTRE approach

    Ting-Yu Chen;Ting-Yu Chen

Frequent Co-Authors

Gwo-Hshiung Tzeng
Gwo-Hshiung Tzeng National Taipei University

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