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Lin Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 31 9723 9337 2774 2551 141 3235

Lin Li publications per year

The chart shows the history of publications by Lin 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. Lin Li published across 37 years, from 1989 to 2025, averaging 4.4 papers a year. Output peaked at 18 publications in 2022. 11 of the 161 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2022. 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 2 publications 2005: 1 publication 2006: 2 publications 2007: 1 publication 2008: 3 publications 2009: 3 publications 2010: 5 publications 2011: 6 publications 2012: 11 publications 2013: 11 publications 2014: 10 publications 2015: 10 publications 2016: 6 publications 2017: 6 publications 2018: 12 publications 2019: 8 publications 2020: 16 publications 2021: 9 publications 2022: 18 publications 2023: 8 publications 2024: 6 publications 2025: 5 publications
1989 2025

161 publications in total across all disciplines

View publications per year as a table
Lin Li: publications per year, 1989 to 2025
Year Publications
1989 1
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 1
2000 0
2001 0
2002 0
2003 0
2004 2
2005 1
2006 2
2007 1
2008 3
2009 3
2010 5
2011 6
2012 11
2013 11
2014 10
2015 10
2016 6
2017 6
2018 12
2019 8
2020 16
2021 9
2022 18
2023 8
2024 6
2025 5
Total 161
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Lin Li publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Lin Li sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 138–147 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372 141
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Lin Li D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Lin Li sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 31 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 31 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114 31
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Lin Li is affiliated with the University of Illinois at Chicago in the United States. Their research primarily focuses on the field of Engineering, with particular emphasis on Industrial and Manufacturing Engineering, Mechanical Engineering, Automotive Engineering, Electrical and Electronic Engineering, and Building and Construction.

The scientist's work covers key topics such as Additive Manufacturing and 3D Printing Technologies, Manufacturing Process and Optimization, Energy Efficiency and Management, Advanced Materials and Mechanics, Additive Manufacturing Materials and Processes, Innovations in Concrete and Construction Materials, and Welding Techniques and Residual Stresses.

Lin Li has published research in various academic venues, including:

  • Journal of Cleaner Production
  • Additive Manufacturing
  • SSRN Electronic Journal
  • Journal of Manufacturing Processes
  • Applied Energy

Several recent papers authored or co-authored by Lin Li include:

  • Integrated optimization of railway freight operation planning and pricing based on carbon emission reduction policies, 2020, Journal of Cleaner Production
  • Big data driven predictive production planning for energy-intensive manufacturing industries, 2020, Energy
  • A comprehensive evaluation for different post-curing methods used in stereolithography additive manufacturing, 2020, Journal of Manufacturing Processes
  • Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways, 2020, Applied Energy
  • Multistage Decision Framework for the Selection of Renewable Energy Sources Based on Prospect Theory and PROMETHEE, 2020, International Journal of Fuzzy Systems

Frequent co-authors who have collaborated extensively with Lin Li include Muyue Han, Jing Zhao, Lingxiang Yun, Yuntian Ge, and Yiran Yang.

Best Publications

  • Time-of-use based electricity demand response for sustainable manufacturing systems

    Yong Wang;Lin Li

  • Data driven bottleneck detection of manufacturing systems

    Lin Li;Qing Chang;Jun Ni

  • Energy requirements evaluation of milling machines based on thermal equilibrium and empirical modelling

    Unknown

  • Cost-effective supply chain for electric vehicle battery remanufacturing

    Lin Li;Fadwa Dababneh;Jing Zhao

  • A novel 6-axis hybrid additive-subtractive manufacturing process: Design and case studies

    Lin Li;Azadeh Haghighi;Yiran Yang

  • Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities

    Yong Wang;Lin Li

  • Mechanical property modeling of photosensitive liquid resin in stereolithography additive manufacturing: Bridging degree of cure with tensile strength and hardness

    Yiran Yang;Lin Li;Jing Zhao

  • “Just-for-Peak” buffer inventory for peak electricity demand reduction of manufacturing systems

    Mayela Fernandez;Lin Li;Zeyi Sun

  • Option model for joint production and preventive maintenance system

    Xiaoning Jin;Lin Li;Jun Ni

  • Dynamic Energy Control for Energy Efficiency Improvement of Sustainable Manufacturing Systems Using Markov Decision Process

    Lin Li;Zeyi Sun

  • Real time production improvement through bottleneck control

    Lin Li;Qing Chang;Jun Ni;Stephan Biller

  • Energy Saving Opportunity Analysis of Automotive Serial Production Systems (March 2012)

    Qing Chang;Guoxian Xiao;Stephan Biller;Lin Li

  • Potential capability estimation for real time electricity demand response of sustainable manufacturing systems using Markov Decision Process

    Zeyi Sun;Lin Li

  • Big data driven predictive production planning for energy-intensive manufacturing industries

    Shuaiyin Ma;Shuaiyin Ma;Yingfeng Zhang;Jingxiang Lv;Yuntian Ge

  • Heterogeneous Redundancy Allocation for Series-Parallel Multi-State Systems Using Hybrid Particle Swarm Optimization and Local Search

    Yong Wang;Lin Li

  • Bottleneck detection of complex manufacturing systems using a data-driven method

    Lin Li

  • Cost-Effective Updated Sequential Predictive Maintenance Policy for Continuously Monitored Degrading Systems

    Ming-Yi You;Lin Li;Guang Meng;Jun Ni

  • Short-term decision support system for maintenance task prioritization

    Lin Li;Jun Ni

  • Energy Consumption Modeling of Stereolithography-Based Additive Manufacturing Toward Environmental Sustainability

    Yiran Yang;Lin Li;Yayue Pan;Zeyi Sun

  • Opportunity Estimation for Real-Time Energy Control of Sustainable Manufacturing Systems

    Zeyi Sun;Lin Li

  • Bottleneck Detection of Manufacturing Systems Using Data Driven Method

    Lin Li;Qing Chang;Jun Ni;Guoxian Xiao

  • Integrated optimization of railway freight operation planning and pricing based on carbon emission reduction policies

    Unknown

  • Identification of reservation capacity in critical peak pricing electricity demand response program for sustainable manufacturing systems

    Andres Bego;Lin Li;Zeyi Sun

  • Inventory Control for Peak Electricity Demand Reduction of Manufacturing Systems Considering the Tradeoff Between Production Loss and Energy Savings

    Zeyi Sun;Lin Li;Mayela Fernandez;Jianhui Wang

  • Total volatile organic compound emission evaluation and control for stereolithography additive manufacturing process

    Yiran Yang;Lin Li

  • Power consumption estimation for mask image projection stereolithography additive manufacturing using machine learning based approach

    Yiran Yang;Miao He;Lin Li

  • Critical peak electricity pricing for sustainable manufacturing: Modeling and case studies

    Yong Wang;Lin Li

  • Integrated Electricity and Natural Gas Demand Response for Manufacturers in the Smart Grid

    Fadwa Dababneh;Lin Li

  • Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways

    Yuntian Ge;Lin Li;Lingxiang Yun

Frequent Co-Authors

Donghai Wang
Donghai Wang Kansas State University
Lifeng Xi
Lifeng Xi Shanghai Jiao Tong University
Fu Zhao
Fu Zhao Purdue University West Lafayette
Yingfeng Zhang
Yingfeng Zhang Northwestern Polytechnical University
Jay Lee
Jay Lee University of Maryland, College Park

External Links

Personal website of Lin Li

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Each pathway offers diverse job prospects and the flexibility of online learning, making them accessible to students worldwide.

Best Scientists Citing Lin Li

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Enrico Zio

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Publications: 14

Yang Li

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Tianjin University

Publications: 14

Yuanshun Dai

Yuanshun Dai

University of Electronic Science and Technology of China

Publications: 11

Fu Zhao

Fu Zhao

Purdue University West Lafayette

Publications: 10

Feng Chu

Feng Chu

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Publications: 10

Liudong Xing

Liudong Xing

University of Massachusetts Dartmouth

Publications: 10

Jay Lee

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Publications: 10

John W. Sutherland

John W. Sutherland

Purdue University West Lafayette

Publications: 9

Wout Joseph

Wout Joseph

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Publications: 9

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Luc Martens

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Yan-Fu Li

Yan-Fu Li

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Publications: 8

Christoph H. Glock

Christoph H. Glock

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Publications: 7

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