World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
60
Citations
15264
World Ranking
545
National Ranking
243

Computer Science

D-Index
53
Citations
12808
World Ranking
4771
National Ranking
2220

Ling Li 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 Ling Li 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: 136 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Ling Li 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 Ling Li 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: 60 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Ling Li is affiliated with Old Dominion University in the United States and specializes in interdisciplinary research across engineering and computer science. Their scholarly work spans several subfields including computer vision and pattern recognition, civil and structural engineering, artificial intelligence, electrical and electronic engineering, and mechanical engineering.

The main academic fields covered in Ling Li's publications are engineering and computer science, with a significant focus on specific technical areas related to structural response and advanced image processing. The subfields of study contributing to their research profile include:

  • Computer Vision and Pattern Recognition
  • Civil and Structural Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Key research topics in Ling Li's work involve structural responses to dynamic loads, video surveillance and tracking methods, image enhancement techniques, infrastructure maintenance and monitoring, advanced neural network applications, structural health monitoring techniques, and advanced image processing techniques.

  • Structural Response to Dynamic Loads
  • Video Surveillance and Tracking Methods
  • Image Enhancement Techniques
  • Infrastructure Maintenance and Monitoring
  • Advanced Neural Network Applications
  • Structural Health Monitoring Techniques
  • Advanced Image Processing Techniques

Ling Li's most frequent co-authors include Qilin Li, Hong Hao, Yanda Shao, Ruhua Wang, and Wensu Chen. The collaboration with these researchers has been consistent across numerous projects, indicating interdisciplinary teamwork within the fields of engineering and computer science.

  • Qilin Li
  • Hong Hao
  • Yanda Shao
  • Ruhua Wang
  • Wensu Chen

Their research has been published in a variety of academic venues, with notable repeated contributions to arXiv (Cornell University), Engineering Structures, Computers & Structures, SSRN Electronic Journal, and Process Safety and Environmental Protection.

  • arXiv (Cornell University)
  • Engineering Structures
  • Computers & Structures
  • SSRN Electronic Journal
  • Process Safety and Environmental Protection

Selected recent papers include:

  • "Semantically Contrastive Learning for Low-Light Image Enhancement" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Prediction of BLEVE blast loading using CFD and artificial neural network" (2021), Process Safety and Environmental Protection
  • "CholecTriplet2021: A benchmark challenge for surgical action triplet recognition" (2023), Medical Image Analysis
  • "A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer" (2022), Engineering Structures
  • "A survey of blockchain with applications in maritime and shipping industry" (2020), Information Systems and e-Business Management

Best Publications

  • Industry 4.0: state of the art and future trends

    Li Da Xu;Eric L. Xu;Ling Li

  • Social media competitive analysis and text mining: A case study in the pizza industry

    Wu He;Shenghua Zha;Ling Li

  • China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”

    Ling Li

  • Gender difference and employees' cybersecurity behaviors

    Mohd Anwar;Wu He;Ivan Ash;Xiaohong Yuan

  • Investigating the impact of cybersecurity policy awareness on employees’ cybersecurity behavior

    Ling Li;Wu He;Li Xu;Ivan K. Ash

  • Embedding Blockchain Technology Into IoT for Security: A Survey

    Li Da Xu;Yang Lu;Ling Li

  • QoS-Aware Scheduling of Services-Oriented Internet of Things

    Ling Li;Shancang Li;Shanshan Zhao

  • An analysis of sources of competitiveness and performance of Chinese manufacturers

    Ling X. Li

  • Technology designed to combat fakes in the global supply chain

    Ling Li

  • Explore success factors that impact artificial intelligence adoption on telecom industry in China

    Hong Chen;Ling Li;Yong Chen

  • Ensuring supply chain quality performance through applying the SCOR model

    Ling Li;Qin Su;Xu Chen

  • The impact of strategic operations management decisions on community hospital performance

    Ling X. Li;W.C. Benton;G.Keong Leong

  • The implications of high-speed rail for Chinese cities: Connectivity and accessibility

    Wangtu (Ato) Xu;Jiangping Zhou;Linchuan Yang;Ling Li

  • Supply chain practice and information quality: A supply chain strategy study

    Honggeng Zhou;Yongyi Shou;Xin Zhai;Ling Li

  • An ARIMA‐ANN Hybrid Model for Time Series Forecasting

    Li Wang;Haofei Zou;Jia Su;Ling Li

  • Performance measurement criteria in health care organizations: Review and future research directions

    L.X. Li;W.C. Benton

  • Channel coordination with a loss-averse retailer and option contracts

    Xu Chen;Gang Hao;Ling Li

  • Effects of enterprise technology on supply chain collaboration: analysis of China-linked supply chain

    Ling Li

  • Relationships between determinants of hospital quality management and service quality performance—a path analytic model

    L.X. Li

  • Blockchain: a literature review

    Anjee Gorkhali;Ling Li;Asim Shrestha

  • Education supply chain in the era of Industry 4.0

    Ling Li

  • Manufacturer's pricing strategy for supply chain with warranty period-dependent demand

    Xu Chen;Ling Li;Ming Zhou

Frequent Co-Authors

Li Da Xu
Li Da Xu Old Dominion University
Wu He
Wu He Old Dominion University
Ulf Dittmer
Ulf Dittmer University of Duisburg-Essen
Mengji Lu
Mengji Lu University of Duisburg-Essen
W. C. Benton
W. C. Benton The Ohio State University
Jun Wu
Jun Wu The University of Texas Southwestern Medical Center
Shancang Li
Shancang Li University of the West of England
Zhuming Bi
Zhuming Bi Indiana University – Purdue University Fort Wayne
Nan Niu
Nan Niu University of North Florida
Xixiang Zhang
Xixiang Zhang King Abdullah University of Science and Technology

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