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Charlie C. L. Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 54 937 859 58 50 229 12903
Computer Science 55 4284 4166 263 261 260 13230

Charlie C. L. Wang publications per year

The chart shows the history of publications by Charlie C. L. Wang between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Charlie C. L. Wang published across 27 years, from 1999 to 2025, averaging 12.7 papers a year. Output peaked at 20 publications in 2008. 33 of the 343 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2008. 1999: 1 publication 2000: 2 publications 2001: 8 publications 2002: 5 publications 2003: 9 publications 2004: 11 publications 2005: 13 publications 2006: 12 publications 2007: 12 publications 2008: 20 publications 2009: 9 publications 2010: 17 publications 2011: 12 publications 2012: 6 publications 2013: 17 publications 2014: 14 publications 2015: 20 publications 2016: 13 publications 2017: 12 publications 2018: 12 publications 2019: 17 publications 2020: 16 publications 2021: 16 publications 2022: 20 publications 2023: 16 publications 2024: 18 publications 2025: 15 publications
1999 2025

343 publications in total across all disciplines

View publications per year as a table
Charlie C. L. Wang: publications per year, 1999 to 2025
Year Publications
1999 1
2000 2
2001 8
2002 5
2003 9
2004 11
2005 13
2006 12
2007 12
2008 20
2009 9
2010 17
2011 12
2012 6
2013 17
2014 14
2015 20
2016 13
2017 12
2018 12
2019 17
2020 16
2021 16
2022 20
2023 16
2024 18
2025 15
Total 343
Download as CSV

Charlie C. L. Wang publications per year - data summary

  • Charlie C. L. Wang, a Mechanical and Aerospace Engineering scholar from University of Manchester, has 343 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive years are 2008, 2015 and 2022, with 20 publications each.
  • The least productive year with any output is 1999, with 1 publication.
  • The rate of publication averages 12.7 papers per year over the whole span, or 12.7 per year counting only the 27 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 85 publications, 25% of the career total.
  • Split into equal eras - 1999-2007: 73 publications (8.1 per year); 2008-2016: 128 publications (14.2 per year); 2017-2025: 142 publications (15.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Charlie C. L. Wang publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Charlie C. L. Wang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 227–236 publications, is where this scientist sits. 47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47–56 publications 659+

This scientist: 229 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99 229
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
Download as CSV

Charlie C. L. Wang publication distribution in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the publication count of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 63 ranges running from 47–56 to 659+ publications.
  • Charlie C. L. Wang, a Mechanical and Aerospace Engineering scholar from University of Manchester, records 229 publications - the 54th percentile of the discipline.
  • 54% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Charlie C. L. Wang, and about 46% score higher.
  • The median of the discipline falls in the 217–226 publications range, and Charlie C. L. Wang ranks above the median.
  • The most crowded range is 147–156 publications, holding 155 scientists (4% of the field).
  • 46% of the field sits in the lowest quarter of the value range (up to 197–206 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 659 publications or more, 100 scientists in all (3% of the field).

Charlie C. L. Wang D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Charlie C. L. Wang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 54 D-Index, is where this scientist sits. 30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 54 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58 54
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
Download as CSV

Charlie C. L. Wang D-index placement in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 64 ranges running from 30 to 93+ D-Index.
  • Charlie C. L. Wang, a Mechanical and Aerospace Engineering scholar from University of Manchester, records 54 D-Index - the 73rd percentile of the discipline.
  • 73% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Charlie C. L. Wang, and about 27% score higher.
  • The median of the discipline falls in the 43 D-Index range, and Charlie C. L. Wang ranks above the median.
  • The most crowded range is 34 D-Index, holding 189 scientists (5% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 45 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 93 D-Index or more, 100 scientists in all (3% of the field).

Research.com Recognitions

  • 2013 - Fellow of the American Society of Mechanical Engineers

Overview

Charlie C. L. Wang is affiliated with the University of Manchester in the United Kingdom. Their research is primarily situated within the field of Engineering, with a focus on several specialized subfields including Automotive Engineering, Computational Mechanics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, and Biomedical Engineering.

Their work extensively covers a range of topics including Additive Manufacturing and 3D Printing Technologies, Manufacturing Process and Optimization, Advanced Numerical Analysis Techniques, 3D Shape Modeling and Analysis, Soft Robotics and Applications, Innovations in Concrete and Construction Materials, and Robot Manipulation and Learning.

Among recent publications, notable papers include:

  • Research and application of machine learning for additive manufacturing (2022) published in Additive Manufacturing
  • Reinforced FDM (2020) published in ACM Transactions on Graphics
  • Field-Based Toolpath Generation for 3D Printing Continuous Fibre Reinforced Thermoplastic Composites (2021) published in Additive Manufacturing
  • Planning Jerk-Optimized Trajectory With Discrete Time Constraints for Redundant Robots (2020) published in IEEE Transactions on Automation Science and Engineering
  • A multi-axis robot-based bioprinting system supporting natural cell function preservation and cardiac tissue fabrication (2022) published in Bioactive Materials

Their frequent coauthors reflect collaboration across related research areas and include Guoxin Fang, Weiming Wang, Tianyu Zhang, Yongxue Chen, and Xiangjia Chen.

Publication venues consistently include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Additive Manufacturing
  • IEEE/ASME Transactions on Mechatronics
  • SSRN Electronic Journal

Charlie C. L. Wang has also been recognized as a Fellow of the American Society of Mechanical Engineers since 2013, which signals involvement and standing within professional engineering communities.

Best Publications

  • The status, challenges, and future of additive manufacturing in engineering

    Wei Gao;Yunbo Zhang;Devarajan Ramanujan;Karthik Ramani

  • Current and future trends in topology optimization for additive manufacturing

    Jikai Liu;Andrew T. Gaynor;Shikui Chen;Zhan Kang

  • Research and Application of Machine Learning for Additive Manufacturing

    Unknown

  • Design for mass personalization

    M.M. Tseng;R.J. Jiao;C. Wang

  • Support-free volume printing by multi-axis motion

    Chengkai Dai;Charlie C. L. Wang;Chenming Wu;Sylvain Lefebvre

  • Technologies for E-Learning and Digital Entertainment

    Kin-chuen Hui;Zhigeng Pan;Ronald Chi-kit Chung;Charlie C. L. Wang

  • Parameterization and parametric design of mannequins

    Charlie C.L. Wang

  • Self-supporting rhombic infill structures for additive manufacturing

    Jun Wu;Jun Wu;Charlie C.L. Wang;Xiaoting Zhang;Rüdiger Westermann

  • Surface flattening based on energy model

    Charlie C. L. Wang;Shana Shiang-Fong Smith;Matthew Ming-Fai Yuen

  • Support slimming for single material based additive manufacturing

    Kailun Hu;Shuo Jin;Charlie C.L. Wang

  • From laser-scanned data to feature human model: a system based on fuzzy logic concept

    Charlie Changling Wang;Terry Chang;Matthew Ming Fai Yuen

  • Design automation for customized apparel products

    Charlie C. L. Wang;Yu Wang;Matthew M. F. Yuen

  • Feature based 3D garment design through 2D sketches

    Charlie Changling Wang;Y. Wang;Matthew Ming Fai Yuen

  • Automatic design of conformal cooling circuits for rapid tooling

    Yu Wang;Kai Min Yu;Charlie C.L. Wang;Yunbo Zhang

  • Drawing on Air: Input Techniques for Controlled 3D Line Illustration

    C.C.L. Wang

  • Compatibility in microstructural optimization for additive manufacturing

    Eric Garner;Helena M.A. Kolken;Charlie C.L. Wang;Amir A. Zadpoor

  • RoboFDM: A robotic system for support-free fabrication using FDM

    Chenming Wu;Chengkai Dai;Guoxin Fang;Yong-Jin Liu

  • Perceptual models of preference in 3D printing direction

    Xiaoting Zhang;Xinyi Le;Athina Panotopoulou;Emily Whiting

  • Reinforced FDM: multi-axis filament alignment with controlled anisotropic strength

    Guoxin Fang;Tianyu Zhang;Sikai Zhong;Xiangjia Chen

  • Automatic polycube-maps

    Juncong Lin;Xiaogang Jin;Zhengwen Fan;Charlie C. L. Wang

  • Real-time collaborative design with heterogeneous CAD systems based on neutral modeling commands

    Min Li;Shuming Gao;Charlie C. L. Wang

  • Improved Skeleton Tracking by Duplex Kinects: A Practical Approach for Real-Time Applications

    Kwok Yun Yeung;Tsz Ho Kwok;Charlie C.L. Wang

Frequent Co-Authors

Xiaogang Jin
Xiaogang Jin Zhejiang University
Matthew Ming Fai Yuen
Matthew Ming Fai Yuen Hong Kong University of Science and Technology
Yong-Jin Liu
Yong-Jin Liu Tsinghua University
Yong Chen
Yong Chen University of Southern California
Ying He
Ying He Nanyang Technological University
Sylvain Lefebvre
Sylvain Lefebvre University of Lorraine
Ligang Liu
Ligang Liu University of Science and Technology of China
Karthik Ramani
Karthik Ramani Purdue University West Lafayette
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Jia Pan
Jia Pan University of Hong Kong

External Links

Personal website of Charlie C. L. Wang Google Scholar page

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Related Online Degrees & Career Pathways

Pursuing Mechanical and Aerospace Engineering in the USA opens doors to various specialized careers. However, many students also explore related fields, particularly those combining technical expertise with behavioral sciences or counseling. For instance, understanding human factors is crucial in aerospace safety and design.

For individuals interested in behavioral analysis, the fbi behavioral analysis unit offers insight into applying psychological principles in high-stakes environments. Meanwhile, exploring different counseling degrees can help tailor a career path that complements engineering skills, especially in leadership and team management roles.

If you are considering further education, reviewing the types of therapy degrees available online can provide clarity on which path suits your interests. Additionally, some may prefer the easiest counseling degrees that allow smoother transitions or quicker completion times alongside engineering careers.

For professionals aiming to deepen their expertise quickly, enrolling in a bcba accelerated program offers a fast-track route to certification in applied behavior analysis, enhancing roles that blend technical knowledge with behavioral insight.

Best Scientists Citing Charlie C. L. Wang

Yong Chen

Yong Chen

University of Southern California

Publications: 33

Xiaogang Jin

Xiaogang Jin

Zhejiang University

Publications: 23

Sylvain Lefebvre

Sylvain Lefebvre

University of Lorraine

Publications: 22

Yong-Jin Liu

Yong-Jin Liu

Tsinghua University

Publications: 22

Ying He

Ying He

Nanyang Technological University

Publications: 18

Alla Sheffer

Alla Sheffer

University of British Columbia

Publications: 18

Fazhi He

Fazhi He

Wuhan University

Publications: 15

Ligang Liu

Ligang Liu

University of Science and Technology of China

Publications: 14

xin li

xin li

Louisiana State University

Publications: 13

Alec Jacobson

Alec Jacobson

University of Toronto

Publications: 13

Albert C. To

Albert C. To

University of Pittsburgh

Publications: 13

Timothy W. Simpson

Timothy W. Simpson

Pennsylvania State University

Publications: 13

David W. Rosen

David W. Rosen

Singapore University of Technology and Design

Publications: 13

Helmut Pottmann

Helmut Pottmann

TU Wien

Publications: 12

Weihong Zhang

Weihong Zhang

Northwestern Polytechnical University

Publications: 11

Gershon Elber

Gershon Elber

Technion – Israel Institute of Technology

Publications: 10

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