World's Best Scientists 2026 revealed!
Ming-Lang Tseng

Ming-Lang Tseng

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Business and Management
Taiwan
2026
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Engineering and Technology
Taiwan
2026

D-Index & Metrics

Business and Management

D-Index
90
Citations
27221
World Ranking
91
National Ranking
2

Engineering and Technology

D-Index
90
Citations
27209
World Ranking
271
National Ranking
5

Ming-Lang Tseng 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 Ming-Lang Tseng 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: 409 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Ming-Lang Tseng 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 Ming-Lang Tseng 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: 90 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Business and Management in Taiwan Leader Award
  • 2026 - Research.com Engineering and Technology in Taiwan Leader Award
  • 2025 - Research.com Business and Management in Taiwan Leader Award
  • 2025 - Research.com Engineering and Technology in Taiwan Leader Award
  • 2024 - Research.com Business and Management in Taiwan Leader Award
  • 2023 - Research.com Business and Management in Taiwan Leader Award
  • 2022 - Research.com Business and Management in Taiwan Leader Award
  • 2022 - Research.com Engineering and Technology in Taiwan Leader Award

Overview

Ming-Lang Tseng is affiliated with Asian University in Taiwan and has contributed extensively to research in Business, Management and Accounting as well as Engineering. Their work spans multiple subfields, including Strategy and Management, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Marketing, and Management Information Systems.

Their research primarily addresses topics such as Sustainable Supply Chain Management, Environmental Sustainability in Business, Supply Chain Resilience and Risk Management, Recycling and Waste Management Techniques, Quality and Supply Management, Municipal Solid Waste Management, and Innovation and Socioeconomic Development.

Tseng has published several papers, including:

  • "Big data analytics adoption: Determinants and performances among small to medium-sized enterprises" (2020) in International Journal of Information Management
  • "A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries" (2021) in Computers & Industrial Engineering
  • "Dynamic and causality interrelationships from municipal solid waste recycling to economic growth, carbon emissions and energy efficiency using a novel bootstrapping autoregressive distributed lag" (2020) in Resources Conservation and Recycling
  • "Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis" (2020) in Sustainable Production and Consumption
  • "The evolution of the Internet of Things (IoT) over the past 20 years" (2021) in Computers & Industrial Engineering

The frequent co-authors collaborating with Tseng include:

  • Ming K. Lim
  • Tat-Dat Bui
  • Mohd Helmi Ali
  • Kuo-Jui Wu
  • Kanchana Sethanan

Tseng's work is regularly published in several venues, with the most frequent being:

  • International Journal of Logistics Research and Applications
  • Resources Conservation and Recycling
  • Industrial Management & Data Systems
  • Sustainability
  • Journal of Industrial and Production Engineering

Best Publications

  • A literature review on green supply chain management: Trends and future challenges

    Ming-Lang Tseng;Shamimul Islam;Shamimul Islam;Noorliza Karia;Firdaus Ahmad Fauzi

  • Sustainable consumption and production for Asia: sustainability through green design and practice

    Ming-Lang Tseng;Ming-Lang Tseng;Shun Fung Chiu;Raymond R. Tan;Anna Bella Siriban-Manalang;Anna Bella Siriban-Manalang

  • A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach

    Ming-Lang Tseng

  • Circular economy meets industry 4.0: Can big data drive industrial symbiosis?

    Ming-Lang Tseng;Raymond R. Tan;Anthony S.F. Chiu;Chen-Fu Chien

  • Evaluating firm's green supply chain management in linguistic preferences

    Ming-Lang Tseng;Anthony S.F. Chiu

  • Improving performance of green innovation practices under uncertainty

    Ming-Lang Tseng;Ming-Lang Tseng;Ray Wang;Anthony S.F. Chiu;Yong Geng

  • Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

    Ling Ling Li;Xue Zhao;Ming Lang Tseng;Ming Lang Tseng;Raymond R. Tan

  • Big data analytics adoption: Determinants and performances among small to medium-sized enterprises

    Parisa Maroufkhani;Ming Lang Tseng;Ming Lang Tseng;Ming Lang Tseng;Mohammad Iranmanesh;Wan Khairuzzaman Wan Ismail

  • Knowledge management in sustainable supply chain management: Improving performance through an interpretive structural modelling approach

    Ming K. Lim;Ming Lang Tseng;Kim Hua Tan;Tat Dat Bui

  • A literature review of sustainable consumption and production: A comparative analysis in developed and developing economies

    Chao Wang;Chao Wang;Pezhman Ghadimi;Pezhman Ghadimi;Ming K. Lim;Ming K. Lim;Ming-Lang Tseng

  • A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries

    Ming K. Lim;Ming K. Lim;Yan Li;Chao Wang;Ming-Lang Tseng;Ming-Lang Tseng

  • The interaction effects of environmental regulation and technological innovation on regional green growth performance

    Ling ling Guo;Ying Qu;Ming-Lang Tseng

  • Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach

    Chun Mei Su;Der Juinn Horng;Ming Lang Tseng;Anthony S.F. Chiu

  • Dynamic and causality interrelationships from municipal solid waste recycling to economic growth, carbon emissions and energy efficiency using a novel bootstrapping autoregressive distributed lag

    Asif Razzaq;Arshian Sharif;Arshian Sharif;Arsalan Najmi;Ming-Lang Tseng;Ming-Lang Tseng

  • Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral

    Ming-Lang Tseng;Jui Hsiang Chiang;Lawrence W. Lan

  • Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: a data driven analysis

    Ming-Lang Tseng;Ming-Lang Tseng;Thi Phuong Thuy Tran;Thi Phuong Thuy Tran;Hien Minh Ha;Hien Minh Ha;Tat-Dat Bui

  • Toward sustainability: using big data to explore the decisive attributes of supply chain risks and uncertainties

    Kuo-Jui Wu;Ching-Jong Liao;Ming-Lang Tseng;Ming K. Lim

  • Sustainable product design and development: A review of tools, applications and research prospects

    Shamraiz Ahmad;Shamraiz Ahmad;Kuan Yew Wong;Ming Lang Tseng;Wai Peng Wong

  • Implementation and performance evaluation using the fuzzy network balanced scorecard

    Ming-Lang Tseng

  • Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve

    Nur Hilfa Awatif Mohamad Ridzuan;Nur Fakhzan Marwan;Norlin Khalid;Mohd Helmi Ali

  • Identifying sustainable solid waste management barriers in practice using the fuzzy Delphi method

    Tat Dat Bui;Feng Ming Tsai;Ming Lang Tseng;Ming Lang Tseng;Moh D.Helmi Ali

Frequent Co-Authors

Kuo-Jui Wu
Kuo-Jui Wu Hainan University
Anthony S.F. Chiu
Anthony S.F. Chiu De La Salle University
Kim Hua Tan
Kim Hua Tan University of Nottingham
Raymond R. Tan
Raymond R. Tan De La Salle University
Mohammad Iranmanesh
Mohammad Iranmanesh Taylor's University
Bing Xue
Bing Xue Chinese Academy of Sciences
Yong Geng
Yong Geng Shanghai Jiao Tong University
Ching-Jong Liao
Ching-Jong Liao National Taiwan University of Science and Technology
Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University
Arshian Sharif
Arshian Sharif Sunway University

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