World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
50
Citations
8103
World Ranking
1005
National Ranking
153

Engineering and Technology

D-Index
44
Citations
6730
World Ranking
5872
National Ranking
374

Xiaojun 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 Xiaojun 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: 115 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: 150 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Xiaojun 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 Xiaojun 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: 67 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: 50 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Xiaojun Wang is affiliated with the University of Birmingham in the United Kingdom. Their research spans multiple fields, with significant contributions in strategy and management, management information systems, public health, environmental and occupational health, economics and econometrics, and electrical and electronic engineering.

Their work covers several main topics including sustainable supply chain management, supply chain and inventory management, healthcare policy and management, global health care issues, transportation and mobility innovations, outsourcing and supply chain management, and supply chain resilience and risk management.

Some of the recent publications by Xiaojun Wang include:

  • Characterization of key odor-active compounds in commercial high-salt liquid-state soy sauce by switchable GC/GC×GC-olfactometry-MS and sensory evaluation, 2020, Food Chemistry
  • COVID-19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions, 2020, British Journal of Management
  • The role of cross-shareholding in the green supply chain: Green contribution, power structure and coordination, 2021, International Journal of Production Economics
  • From Isolation to Coordination: How Can Telemedicine Help Combat the COVID-19 Outbreak?, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Servant leadership, CSR perceptions, moral meaningfulness and organizational identification- evidence from the Middle East, 2020, International Business Review

Xiaojun Wang frequently publishes in the following venues:

  • Health at a glance. Asia/Pacific
  • International Journal of Production Economics
  • SSRN Electronic Journal
  • Annals of Operations Research
  • Transportation Research Part E Logistics and Transportation Review

Collaboration is notable in their work, with frequent co-authors including Luca Lorenzoni, Gabriel Paolantonio, Ayodele Akinnawo, Eriko Anzai, and Benjamin Bayutas.

Best Publications

  • An empirical investigation of green purchase behaviour among the young generation

    Maturos Kanchanapibul;Ewelina Lacka;Xiaojun Wang;Hing Kai Chan

  • A dynamic product quality evaluation based pricing model for perishable food supply chains

    Xiaojun Wang;Dong Li

  • A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain

    Xiaojun Wang;Hing Kai Chan;Rachel W.Y. Yee;Ivan Diaz-Rainey

  • COVID-19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions

    Jie Sheng;Joseph Amankwah-Amoah;Zaheer Khan;Xiaojun Wang

  • A multidisciplinary perspective of big data in management research

    Jie Sheng;Joseph Amankwah-Amoah;Xiaojun Wang

  • The role of co-opetition in low carbon manufacturing

    Zheng Luo;Xu Chen;Xiaojun Wang

  • Manufacturer and retailer coordination for environmental and economic competitiveness: A power perspective

    Xu Chen;Xiaojun Wang;Hing Kai Chan

  • The impact of power structure on the retail service supply chain with an O2O mixed channel

    Xu Chen;Xiaojun Wang;Xinkuang Jiang

  • Sustainable food supply chain management

    Dong Li;Xiaojun Wang;Hing Kai Chan;Riccardo Manzini

  • Optimisation of traceability and operations planning: an integrated model for perishable food production

    Xiaojun Wang;Dong Li;C O'Brien

  • Free or bundled: channel selection decisions under different power structures

    Xu Chen;Xiaojun Wang

  • Optimal pricing policies for differentiated brands under different supply chain power structures

    Zheng Luo;Xu Chen;Jing Chen;Xiaojun Wang

  • A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives

    Xiaojun Wang;Hing Kai Chan

  • Firms’ green R&D cooperation behaviour in a supply chain: Technological spillover, power and coordination

    Xu Chen;Xiaojun Wang;Mingmei Zhou

  • Effects of carbon emission reduction policies on transportation mode selections with stochastic demand

    Xu Chen;Xiaojun Wang

  • Exploring the effect of user engagement in online brand communities

    Noor Farizah Ibrahim;Xiaojun Wang;Humphrey Bourne

  • Production Coopetition Strategies for Competing Manufacturers that Produce Partially Substitutable Products

    Xu Chen;Xiaojun Wang;Yusen Xia

  • A production planning model to reduce risk and improve operations management

    Xiaojun Wang;D. Li;C. O'Brien;Y. Li

  • An Extended Fuzzy-AHP Approach for the Evaluation of Green Product Designs

    Hing Kai Chan;Xiaojun Wang;G. R. T. White;N. Yip

  • A Mixed-Method Approach to Extracting the Value of Social Media Data

    Hing Kai Chan;Xiaojun Wang;Ewelina Lacka;Min Zhang

  • A fuzzy enabled model for aggregative food safety risk assessment in food supply chains

    Xiaojun Wang;Dong Li;Xianliang Shi

  • A text analytics approach for online retailing service improvement: Evidence from Twitter

    Noor Farizah Ibrahim;Xiaojun Wang

Frequent Co-Authors

Hing Kai Chan
Hing Kai Chan Wenzhou-Kean University
Joseph Amankwah-Amoah
Joseph Amankwah-Amoah Durham University
Zaheer Khan
Zaheer Khan University of Aberdeen
Manlio Del Giudice
Manlio Del Giudice Link Campus University
Yusen Xia
Yusen Xia Georgia State University
Wensheng Yang
Wensheng Yang Guangdong University of Technology
Haimei Liu
Haimei Liu Shanghai University of Electric Power
Tsan-Ming Choi
Tsan-Ming Choi University of Liverpool
Jody Hoffer Gittell
Jody Hoffer Gittell Brandeis University
Riccardo Manzini
Riccardo Manzini University of Bologna

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