World's Best Scientists 2026 revealed!
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Social Sciences and Humanities
Taiwan
2026

D-Index & Metrics

Social Sciences and Humanities

D-Index
45
Citations
7735
World Ranking
3905
National Ranking
9

Engineering and Technology

D-Index
45
Citations
7595
World Ranking
5518
National Ranking
49

James J.H. Liou publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where James J.H. Liou sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 104 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

James J.H. Liou D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where James J.H. Liou sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 45 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Social Sciences and Humanities in Taiwan Leader Award

Overview

James J.H. Liou is affiliated with the National Taipei University of Technology in Taiwan, contributing extensively to the fields of Business, Management and Accounting as well as Decision Sciences. Their research focuses notably on Sustainable Supply Chain Management and Multi-Criteria Decision Making, with additional interests spanning Risk and Safety Analysis, Environmental Sustainability in Business, Sustainable Building Design and Assessment, Occupational Health and Safety Research, and Supply Chain Resilience and Risk Management.

The scientist has published multiple articles in well-regarded academic journals. Some recent papers include:

  • Application of an MCDM model with data mining techniques for green supplier evaluation and selection, 2021, Applied Soft Computing
  • Analyzing blockchain adoption barriers in manufacturing supply chains by the neutrosophic analytic hierarchy process, 2021, Annals of Operations Research
  • A hybrid MCDM-based FMEA model for identification of critical failure modes in manufacturing, 2020, Soft Computing
  • A group decision-making approach for exploring trends in the development of the healthcare industry in Taiwan, 2020, Decision Support Systems
  • An integrated model for selecting suppliers on the basis of sustainability innovation, 2020, Journal of Cleaner Production

James J.H. Liou frequently collaborates with several researchers, including:

  • Huai-Wei Lo
  • Hadi Badri Ahmadi
  • Sun-Weng Huang
  • Gwo-Hshiung Tzeng
  • Qigan Shao

The scientist's work appears most frequently in the following publication venues:

  • Mathematics
  • Sustainability
  • SSRN Electronic Journal
  • Journal of Air Transport Management
  • IEEE Access

In terms of subject focus, their contributions cover these main fields:

  • Business, Management and Accounting
  • Decision Sciences

Within these broader domains, they specialize in subfields such as:

  • Strategy and Management
  • Management Science and Operations Research
  • Marketing
  • Statistics, Probability and Uncertainty
  • Industrial and Manufacturing Engineering

Best Publications

  • Airline safety measurement using a hybrid model

    James J.H. Liou;Gwo-Hshiung Tzeng;Gwo-Hshiung Tzeng;Han-Chun Chang

  • Building an effective safety management system for airlines

    James J.H. Liou;Leon Yen;Gwo-Hshiung Tzeng;Gwo-Hshiung Tzeng

  • A Non-Additive Model for Evaluating Airline Service Quality

    James J.H. Liou;Gwo-Hshiung Tzeng;Gwo-Hshiung Tzeng

  • An integrated model for solving problems in green supplier selection and order allocation

    Huai-Wei Lo;James J.H. Liou;Her-Shing Wang;Yi-Song Tsai

  • A modified VIKOR multiple-criteria decision method for improving domestic airlines service quality

    James J.H. Liou;Chieh-Yuan Tsai;Rong-Ho Lin;Gwo-Hshiung Tzeng;Gwo-Hshiung Tzeng

  • Fuzzy MCDM approach for selecting the best environment-watershed plan

    Vivien Y. C. Chen;Hui-Pang Lien;Chui-Hua Liu;James J. H. Liou

  • Comments on “Multiple criteria decision making (MCDM) methods in economics: an overview”

    James J. H. Liou;Gwo-Hshiung Tzeng

  • New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management

    James J.H. Liou;Jolanta Tamošaitienė;Edmundas K. Zavadskas;Gwo-Hshiung Tzeng

  • Developing a hybrid multi-criteria model for selection of outsourcing providers

    James J. H. Liou;Yu-Tai Chuang

  • Using a multiple-GA method to solve the batch picking problem: considering travel distance and order due time

    C.-Y. Tsai;J. J. H. Liou;T.-M. Huang

  • A novel multiple-criteria decision-making-based FMEA model for risk assessment

    Huai-Wei Lo;James J.H. Liou

  • Circular economy practices in the leather industry: A practical step towards sustainable development

    Md. Abdul Moktadir;Hadi Badri Ahmadi;Razia Sultana;Fatema-Tuj Zohra

  • A novel failure mode and effect analysis model for machine tool risk analysis

    Huai-Wei Lo;James J.H. Liou;Chun-Nen Huang;Yen-Ching Chuang

  • A Dominance-based Rough Set Approach to customer behavior in the airline market

    James J. H. Liou;Gwo-Hshiung Tzeng

  • Integrating DANP and modified grey relation theory for the selection of an outsourcing provider

    Chao-Che Hsu;James J.H. Liou;Yen-Ching Chuang

  • A fuzzy integral-based model for supplier evaluation and improvement

    James J. H. Liou;Yen-Ching Chuang;Gwo-Hshiung Tzeng

  • A hybrid MCDM and sustainability-balanced scorecard model to establish sustainable performance evaluation for international airports

    Ming-Tsang Lu;Chao-Che Hsu;James J.H. Liou;Huai-Wei Lo

  • An integrated MCDM model for improving airline operational and financial performance

    Pedro Jose Gudiel Pineda;James J.H. Liou;Chao-Che Hsu;Yen-Ching Chuang

  • Using a modified grey relation method for improving airline service quality.

    James J.H. Liou;Chao-Che Hsu;Wen-Chien Yeh;Rong-Ho Lin

  • Analyzing blockchain adoption barriers in manufacturing supply chains by the neutrosophic analytic hierarchy process

    Amin Vafadarnikjoo;Hadi Badri Ahmadi;James J. H. Liou;Tiago Botelho

  • A novel decision rules approach for customer relationship management of the airline market

    James J. H. Liou

Frequent Co-Authors

Gwo-Hshiung Tzeng
Gwo-Hshiung Tzeng National Taipei University
Edmundas Kazimieras Zavadskas
Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University
Jafar Rezaei
Jafar Rezaei Delft University of Technology
Benjamin T. Hazen
Benjamin T. Hazen University of Dayton
Chunguang Bai
Chunguang Bai University of Electronic Science and Technology of China

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