World's Best Scientists 2026 revealed!
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Lihui Wang
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Engineering and Technology
Sweden
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 86 354 335 4 4 644 30852

Lihui Wang publications per year

The chart shows the history of publications by Lihui Wang between 1991 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lihui Wang published across 36 years, from 1991 to 2026, averaging 28.9 papers a year. Output peaked at 116 publications in 2022. 77 of the 1,040 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1991 to 2026. Vertical axis: number of publications, 0 to 116. Peak 116 publications in 2022. 1991: 2 publications 1992: 3 publications 1993: 5 publications 1994: 4 publications 1995: 0 publications 1996: 2 publications 1997: 0 publications 1998: 3 publications 1999: 2 publications 2000: 4 publications 2001: 7 publications 2002: 7 publications 2003: 21 publications 2004: 17 publications 2005: 22 publications 2006: 27 publications 2007: 18 publications 2008: 17 publications 2009: 19 publications 2010: 21 publications 2011: 29 publications 2012: 21 publications 2013: 28 publications 2014: 46 publications 2015: 35 publications 2016: 28 publications 2017: 50 publications 2018: 67 publications 2019: 46 publications 2020: 44 publications 2021: 65 publications 2022: 116 publications 2023: 97 publications 2024: 90 publications 2025: 76 publications 2026: 1 publication
1991 2026

1,040 publications in total across all disciplines

View publications per year as a table
Lihui Wang: publications per year, 1991 to 2026
Year Publications
1991 2
1992 3
1993 5
1994 4
1995 0
1996 2
1997 0
1998 3
1999 2
2000 4
2001 7
2002 7
2003 21
2004 17
2005 22
2006 27
2007 18
2008 17
2009 19
2010 21
2011 29
2012 21
2013 28
2014 46
2015 35
2016 28
2017 50
2018 67
2019 46
2020 44
2021 65
2022 116
2023 97
2024 90
2025 76
2026 1
Total 1,040
Download as CSV

Lihui Wang 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 Lihui Wang 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, 638–647 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: 644 publications — 98th percentile

98% 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
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 21 644
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
Download as CSV

Lihui Wang 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 Lihui Wang 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, 86 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: 86 D-Index — 96th percentile

96% 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
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 86
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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Sweden Leader Award
  • 2025 - Research.com Engineering and Technology in Sweden Leader Award
  • 2022 - Research.com Engineering and Technology in Sweden Leader Award
  • 2014 - Fellow of the American Society of Mechanical Engineers

Overview

Lihui Wang is affiliated with the Royal Institute of Technology in Sweden. Their research primarily belongs to the field of Engineering, with a strong focus on Industrial and Manufacturing Engineering, Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist's work extensively covers a range of topics related to modern manufacturing and industrial processes. Key topics include:

  • Digital Transformation in Industry
  • Manufacturing Process and Optimization
  • Robot Manipulation and Learning
  • Advanced machining processes and optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Industrial Vision Systems and Defect Detection
  • Advanced Machining and Optimization Techniques

Their publication record shows a strong presence in several prominent venues, including:

  • Journal of Manufacturing Systems
  • Robotics and Computer-Integrated Manufacturing
  • SSRN Electronic Journal
  • CIRP Annals
  • E3S Web of Conferences

Among their most recent papers are titles that explore emerging industrial concepts and technologies, such as:

  • "Industry 4.0 and Industry 5.0-Inception, conception and perception" (2021, Journal of Manufacturing Systems)
  • "Industry 5.0: Prospect and retrospect" (2022, Journal of Manufacturing Systems)
  • "Outlook on human-centric manufacturing towards Industry 5.0" (2022, Journal of Manufacturing Systems)
  • "Industry 5.0 and Society 5.0-Comparison, complementation and co-evolution" (2022, Journal of Manufacturing Systems)
  • "Smart manufacturing process and system automation - A critical review of the standards and envisioned scenarios" (2020, Journal of Manufacturing Systems)

Lihui Wang commonly collaborates with various researchers, with frequent co-authors including:

  • Xi Vincent Wang
  • Pai Zheng
  • Sichao Liu
  • Steven Y. Liang
  • Caixu Yue

In addition to research articles, they have contributed to book publications, notably the "Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing," published by Springer Nature in 2020.

The scientist has been recognized in their field with the award of Fellow of the American Society of Mechanical Engineers in 2014.

Best Publications

  • Enabling technologies and tools for digital twin

    Qinglin Qi;Fei Tao;Tianliang Hu;Nabil Anwer

  • Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

    Fei Tao;Qinglin Qi;Lihui Wang;A.Y.C. Nee

  • Current status and advancement of cyber-physical systems in manufacturing

    Lihui Wang;Martin Törngren;Mauro Onori

  • Collaborative conceptual design—state of the art and future trends

    Lihui Wang;Weiming Shen;Helen Xie;Joseph Neelamkavil

  • Cloud-based design and manufacturing

    Dazhong Wu;David W. Rosen;Lihui Wang;Dirk Schaefer

  • Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey

    Weiming Shen;Lihui Wang;Qi Hao

  • Reconfigurable manufacturing systems: the state of the art

    Z. M. Bi;S. Y. T. Lang;W. Shen;Lihui Wang

  • Symbiotic human-robot collaborative assembly

    L. Wang;R. Gao;J. Váncza;J. Váncza;J. Krüger;J. Krüger

  • Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios

    Yuqian Lu;Xun Xu;Lihui Wang

  • Cloud-enabled prognosis for manufacturing

    Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld

  • Computer-aided process planning-A critical review of recent developments and future trends

    Xun Xu;Lihui Wang;Stephen T. Newman

  • Gesture recognition for human-robot collaboration: A review

    Hongyi Liu;Lihui Wang

  • Cloud manufacturing: key characteristics and applications

    Lei Ren;Lin Zhang;Lihui Wang;Fei Tao

  • Industrial robotic machining: a review

    Wei Ji;Lihui Wang

  • A review of chatter vibration research in milling

    Caixu Yue;Haining Gao;Xianli Liu;Steven Y. Liang

  • Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0

    Xi Vincent Wang;Lihui Wang

  • Scheduling in cloud manufacturing: state-of-the-art and research challenges

    Yongkui Liu;Lihui Wang;Xi Vincent Wang;Xun Xu

  • Machine availability monitoring and machining process planning towards Cloud manufacturing

    Lihui Wang

  • Human-robot collaborative assembly in cyber-physical production: Classification framework and implementation

    Xi Vincent Wang;Zsolt Kemény;József Váncza;József Váncza;Lihui Wang

  • Review: Advances in 3D data acquisition and processing for industrial applications

    Z. M. Bi;Lihui Wang

  • Condition monitoring and control for intelligent manufacturing

    Lihui Wang;Robert X. Gao

  • Robotics and Computer-Integrated Manufacturing

    Lihui Wang

Frequent Co-Authors

Hsi-Yung Feng
Hsi-Yung Feng University of British Columbia
Weiming Shen
Weiming Shen Huazhong University of Science and Technology
Xun Xu
Xun Xu University of Auckland
Dan Zhang
Dan Zhang York University
Robert X. Gao
Robert X. Gao Case Western Reserve University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Livan Fratini
Livan Fratini University of Palermo
Albert J. Shih
Albert J. Shih University of Michigan–Ann Arbor
Zhuming Bi
Zhuming Bi Indiana University – Purdue University Fort Wayne
József Váncza
József Váncza Budapest University of Technology and Economics

External Links

Personal website of Lihui Wang Google Scholar page

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Publications: 28

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Publications: 23

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