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Business and Management
China
2026
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Engineering and Technology
China
2026

D-Index & Metrics

Business and Management

D-Index
81
Citations
19741
World Ranking
159
National Ranking
13

Engineering and Technology

D-Index
80
Citations
19963
World Ranking
549
National Ranking
93

Liang Liang 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 Liang Liang 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: 286 publications — 90th percentile

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

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

Liang Liang 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 Liang Liang 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: 81 D-Index — 95th percentile

95% 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 China Leader Award
  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Business and Management in China Leader Award
  • 2025 - Research.com Engineering and Technology in China Leader Award
  • 2024 - Research.com Business and Management in China Leader Award

Overview

Liang Liang is affiliated with Hefei University of Technology in China. Their research contributions include work published in recognized academic venues.

One of Liang's recent publications is titled "IL-23IL-17", published in 2020 in the DOAJ (DOAJ: Directory of Open Access Journals). This paper addresses the expression of IL-23 and IL-17 in the aqueous humor of patients with diabetic retinopathy.

Liang collaborates frequently with coauthors including:

The main publication venue associated with Liang's research is:

  • DOAJ (DOAJ: Directory of Open Access Journals)

Best Publications

  • DEA Models for Two-Stage Processes: Game Approach and Efficiency Decomposition

    Liang Liang;Wade D. Cook;Joe Zhu

  • DEA models for supply chain efficiency evaluation

    Liang Liang;Feng Yang;Wade D. Cook;Joe Zhu

  • Measuring performance of two-stage network structures by DEA: A review and future perspective

    Wade D. Cook;Liang Liang;Joe Zhu

  • The DEA Game Cross-Efficiency Model and Its Nash Equilibrium

    Liang Liang;Jie Wu;Wade D. Cook;Joe Zhu

  • Price and quality decisions in dual-channel supply chains

    Jingxian Chen;Liang Liang;Dong-Qing Yao;Shengnan Sun

  • Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model

    Gong-Bing Bi;Wen Song;P. Zhou;Liang Liang

  • Building brand loyalty through user engagement in online brand communities in social networking sites

    Xiabing Zheng;Christy M. K. Cheung;Matthew K.O. Lee;Liang Liang

  • Supply chain coordination through cooperative advertising with reference price effect

    Juan Zhang;Qinglong Gou;Liang Liang;Zhimin Huang

  • Alternative secondary goals in DEA cross-efficiency evaluation

    Liang Liang;Jie Wu;Wade D. Cook;Joe Zhu

  • Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank

    Unknown

  • Determination of weights for ultimate cross efficiency using Shannon entropy

    Jie Wu;Jiasen Sun;Liang Liang;Yingchun Zha

  • Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?

    Shanyong Wang;Jing Wang;Jun Li;Jinpeng Wang

  • DEA game cross-efficiency approach to Olympic rankings

    Jie Wu;Liang Liang;Yao Chen

  • Towards integrated optimal configuration of platform products, manufacturing processes, and supply chains

    George Q. Huang;X.Y. Zhang;L. Liang

  • Predicting corporate financial distress based on integration of support vector machine and logistic regression

    Zhongsheng Hua;Yu Wang;Xiaoyan Xu;Bin Zhang

  • Evaluation of information technology investment: a data envelopment analysis approach

    Yao Chen;Liang Liang;Feng Yang;Joe Zhu

  • Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach

    Zhongsheng Hua;Yiwen Bian;Liang Liang

  • DEA Models for Extended Two-Stage Network Structures

    Unknown

  • Emission-dependent supply chain and environment-policy-making in the ‘cap-and-trade’ system

    Unknown

  • Fixed cost and resource allocation based on DEA cross-efficiency

    Juan Du;Wade D. Cook;Liang Liang;Joe Zhu

  • Measuring energy and environmental efficiency of transportation systems in China based on a parallel DEA approach

    Jie Wu;Qingyuan Zhu;Junfei Chu;Hongwei Liu;Hongwei Liu

  • Equivalence in two-stage DEA approaches

    Yao Chen;Liang Liang;Joe Zhu;Joe Zhu

  • Stackelberg game-theoretic model for optimizing advertising, pricing and inventory policies in vendor managed inventory (VMI) production supply chains

    Yugang Yu;George Q. Huang;Liang Liang

Frequent Co-Authors

Jie Wu
Jie Wu University of Science and Technology of China
Joe Zhu
Joe Zhu Worcester Polytechnic Institute
Wade D. Cook
Wade D. Cook York University
Zhimin Huang
Zhimin Huang Adelphi University
George Q. Huang
George Q. Huang Hong Kong Polytechnic University
Feng Li
Feng Li City, University of London
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University
Yunhe Hou
Yunhe Hou University of Hong Kong
Alexandre Dolgui
Alexandre Dolgui IMT Atlantique
Desheng Dash Wu
Desheng Dash Wu Chinese Academy of Sciences

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