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Ling Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Business and Management 60 545 508 243 222 136 15264
Computer Science 53 4771 4637 2220 2142 129 12808

Ling Li publications per year

The chart shows the history of publications by Ling Li between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ling Li published across 37 years, from 1989 to 2025, averaging 8.6 papers a year. Output peaked at 46 publications in 2024. 84 of the 320 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2024. 1989: 1 publication 1990: 0 publications 1991: 2 publications 1992: 3 publications 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 1 publication 1998: 0 publications 1999: 1 publication 2000: 6 publications 2001: 6 publications 2002: 1 publication 2003: 4 publications 2004: 1 publication 2005: 6 publications 2006: 9 publications 2007: 6 publications 2008: 8 publications 2009: 8 publications 2010: 2 publications 2011: 6 publications 2012: 14 publications 2013: 7 publications 2014: 18 publications 2015: 5 publications 2016: 9 publications 2017: 7 publications 2018: 17 publications 2019: 8 publications 2020: 8 publications 2021: 12 publications 2022: 26 publications 2023: 32 publications 2024: 46 publications 2025: 38 publications
1989 2025

320 publications in total across all disciplines

View publications per year as a table
Ling Li: publications per year, 1989 to 2025
Year Publications
1989 1
1990 0
1991 2
1992 3
1993 1
1994 0
1995 0
1996 1
1997 1
1998 0
1999 1
2000 6
2001 6
2002 1
2003 4
2004 1
2005 6
2006 9
2007 6
2008 8
2009 8
2010 2
2011 6
2012 14
2013 7
2014 18
2015 5
2016 9
2017 7
2018 17
2019 8
2020 8
2021 12
2022 26
2023 32
2024 46
2025 38
Total 320
Download as CSV

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.

No. of scientists
25 50 75 100
Bar chart with 82 bars. Horizontal axis: publications, 35–39 to 436+. Vertical axis: number of scientists, 0 to 122. Most scientists, 122, have 95–99 publications. The last bar groups every scientist with 436 publications or more. The highlighted bar, 135–139 publications, is where this scientist sits. 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 scientist 435 publications: 1 scientist 436+ publications: 100 scientists
35–39 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.

View publications distribution as a table
Number of Business and Management scientists by publication count, Research.com 2026 ranking edition. Based on 3,017 ranked scientists.
Publications Scientists This scientist
35–39 2
40–44 2
45–49 5
50–54 20
55–59 39
60–64 66
65–69 52
70–74 80
75–79 83
80–84 116
85–89 94
90–94 111
95–99 122
100–104 104
105–109 113
110–114 96
115–119 97
120–124 112
125–129 93
130–134 79
135–139 69 136
140–144 80
145–149 81
150–154 85
155–159 50
160–164 74
165–169 61
170–174 40
175–179 44
180–184 47
185–189 59
190–194 35
195–199 37
200–204 49
205–209 48
210–214 34
215–219 31
220–224 37
225–229 34
230–234 25
235–239 28
240–244 34
245–249 28
250–254 23
255–259 22
260–264 11
265–269 16
270–274 23
275–279 12
280–284 16
285–289 10
290–294 12
295–299 12
300–304 8
305–309 13
310–314 13
315–319 6
320–324 10
325–329 9
330–334 7
335–339 10
340–344 10
345–349 7
350–354 4
355–359 10
360–364 3
365–369 7
370–374 2
375–379 8
380–384 4
385–389 5
390–394 5
395–399 2
400–404 2
405–409 4
410–414 3
415–419 2
420–424 5
425–429 3
430–434 1
435 1
436+ 100
Download as CSV

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.

No. of scientists
50 100 150
Bar chart with 60 bars. Horizontal axis: D-Index, 30 to 89+. Vertical axis: number of scientists, 0 to 171. Most scientists, 171, have 32 D-Index. The last bar groups every scientist with 89 D-Index or more. The highlighted bar, 60 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Business and Management scientists by D-index, Research.com 2026 ranking edition. Based on 3,017 ranked scientists.
D-Index Scientists This scientist
30 156
31 159
32 171
33 161
34 135
35 124
36 114
37 111
38 103
39 89
40 81
41 97
42 80
43 69
44 68
45 63
46 54
47 69
48 50
49 58
50 54
51 62
52 54
53 43
54 49
55 35
56 40
57 44
58 34
59 29
60 48 60
61 32
62 30
63 22
64 22
65 19
66 20
67 18
68 17
69 21
70 20
71 19
72 14
73 10
74 16
75 24
76 13
77 19
78 8
79 6
80 4
81 12
82 7
83 7
84 6
85 10
86 4
87 11
88 6
89+ 96
Download as CSV

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

External Links

Personal website of Ling Li Google Scholar page

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These pathways illustrate the flexibility, affordability, and specialization available to students pursuing business and management studies through online education in the USA.

Best Scientists Citing Ling Li

Li Da Xu

Li Da Xu

Old Dominion University

Publications: 90

Wu He

Wu He

Old Dominion University

Publications: 42

Zhuming Bi

Zhuming Bi

Indiana University – Purdue University Fort Wayne

Publications: 26

Yuan Li

Yuan Li

Shanghai Jiao Tong University

Publications: 21

Guilherme Luz Tortorella

Guilherme Luz Tortorella

University of Melbourne

Publications: 17

Abid Haleem

Abid Haleem

Jamia Millia Islamia

Publications: 16

Mohd Javaid

Mohd Javaid

Jamia Millia Islamia

Publications: 16

Nan Niu

Nan Niu

University of North Florida

Publications: 15

Mengji Lu

Mengji Lu

University of Duisburg-Essen

Publications: 13

Xiaojun Wang

Xiaojun Wang

University of Birmingham

Publications: 12

Fei Tao

Fei Tao

Beihang University

Publications: 12

Shancang Li

Shancang Li

University of the West of England

Publications: 12

Yi Liu

Yi Liu

Shanghai Jiao Tong University

Publications: 12

Ulf Dittmer

Ulf Dittmer

University of Duisburg-Essen

Publications: 12

Marijn Janssen

Marijn Janssen

Delft University of Technology

Publications: 11

W. H. Ip

W. H. Ip

Hong Kong Polytechnic University

Publications: 10

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