World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 70 395 355 54 54 690 16714

Li Cheng publications per year

The chart shows the history of publications by Li Cheng between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Li Cheng published across 36 years, from 1990 to 2025, averaging 24.3 papers a year. Output peaked at 59 publications in 2016. 46 of the 874 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 59. Peak 59 publications in 2016. 1990: 2 publications 1991: 1 publication 1992: 4 publications 1993: 0 publications 1994: 2 publications 1995: 8 publications 1996: 4 publications 1997: 5 publications 1998: 4 publications 1999: 5 publications 2000: 8 publications 2001: 8 publications 2002: 15 publications 2003: 21 publications 2004: 19 publications 2005: 26 publications 2006: 23 publications 2007: 31 publications 2008: 29 publications 2009: 26 publications 2010: 29 publications 2011: 49 publications 2012: 42 publications 2013: 53 publications 2014: 53 publications 2015: 43 publications 2016: 59 publications 2017: 46 publications 2018: 48 publications 2019: 46 publications 2020: 44 publications 2021: 40 publications 2022: 17 publications 2023: 18 publications 2024: 23 publications 2025: 23 publications
1990 2025

874 publications in total across all disciplines

View publications per year as a table
Li Cheng: publications per year, 1990 to 2025
Year Publications
1990 2
1991 1
1992 4
1993 0
1994 2
1995 8
1996 4
1997 5
1998 4
1999 5
2000 8
2001 8
2002 15
2003 21
2004 19
2005 26
2006 23
2007 31
2008 29
2009 26
2010 29
2011 49
2012 42
2013 53
2014 53
2015 43
2016 59
2017 46
2018 48
2019 46
2020 44
2021 40
2022 17
2023 18
2024 23
2025 23
Total 874
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Li Cheng 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 Li Cheng 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, 659+ 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: 690 publications — 97th percentile

97% 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
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+ 100 690
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Li Cheng 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 Li Cheng 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, 70 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: 70 D-Index — 89th percentile

89% 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
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 70
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
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Overview

Li Cheng is affiliated with the Hong Kong Polytechnic University in China and specializes primarily in the fields of Computer Science and Engineering. Their published work spans several subfields, with notable contributions in Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence, and Signal Processing.

The core topics covered by Li Cheng's research include Human Pose and Action Recognition, Advanced Vision and Imaging, Video Surveillance and Tracking Methods, Human Motion and Animation, Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications, and Hand Gesture Recognition Systems.

Among recent publications authored or coauthored by Li Cheng are:

  • "Deep Learning for Visual Tracking: A Comprehensive Survey," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Generating Diverse and Natural 3D Human Motions from Text," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications," 2024, Machine Intelligence Research
  • "Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Joint Visual and Audio Learning for Video Highlight Detection," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Li Cheng collaborates frequently with several researchers, including Xinxin Zuo, Shihao Zou, Sen Wang, Chuan Guo, and Minglun Gong.

Their work has appeared in a variety of publication venues. Notably frequent venues include arXiv (Cornell University), SSRN Electronic Journal, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Image Processing, and IEEE Transactions on Multimedia.

Li Cheng has also contributed to book publications with Springer Science+Business Media. These include "Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops" published in 2023, and "Resource-Efficient Medical Image Analysis" from 2022.

Best Publications

  • Development in vibration-based structural damage detection technique

    Y.J. Yan;L. Cheng;Z.Y. Wu;L.H. Yam

  • Magnetorheological fluid dampers: A review on structure design and analysis

    Xiaocong Zhu;Xingjian Jing;Li Cheng

  • Deep Learning for Visual Tracking: A Comprehensive Survey

    Seyed Mojtaba Marvasti-Zadeh;Li Cheng;Hossein Ghanei-Yakhdan;Shohreh Kasaei

  • Effect of limited matrix-reinforcement interfacial reaction on enhancing the mechanical properties of aluminium-silicon carbide composites

    L.M. Tham;M. Gupta;L. Cheng

  • Characterization of acoustic black hole effect using a one-dimensional fully-coupled and wavelet-decomposed semi-analytical model

    Liling Tang;Li Cheng;Hongli Ji;Hongli Ji;Jinhao Qiu

  • Vibration isolation via a scissor-like structured platform

    Xiuting Sun;Xiuting Sun;Xingjian Jing;Jian Xu;Li Cheng

  • The Eighth Visual Object Tracking VOT2020 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features

    Zhongqing Su;Chao Zhou;Ming Hong;Li Cheng

  • Pose Estimation from Line Correspondences: A Complete Analysis and a Series of Solutions

    Chi Xu;Lilian Zhang;Li Cheng;Reinhard Koch

  • Modeling nonlinearities of ultrasonic waves for fatigue damage characterization: theory, simulation, and experimental validation.

    Ming Hong;Zhongqing Su;Qiang Wang;Li Cheng

  • Sound absorption of a micro-perforated panel backed by an irregular-shaped cavity.

    Chunqi Wang;Li Cheng;Jie Pan;Ganghua Yu

  • Beneficial performance of a quasi-zero-stiffness vibration isolator with time-delayed active control

    Xiuting Sun;Xiuting Sun;Jian Xu;Xingjian Jing;Li Cheng

  • Identification of damage locations for plate-like structures using damage sensitive indices: strain modal approach

    Y.Y. Li;Y.Y. Li;L. Cheng;L.H. Yam;W.O. Wong

  • Broadband locally resonant band gaps in periodic beam structures with embedded acoustic black holes

    Liling Tang;Li Cheng

  • Influence of processing parameters during disintegrated melt deposition processing on near net shape synthesis of aluminium based metal matrix composites

    L.M. Tham;M. Gupta;L. Cheng

  • A semi-active metamaterial beam with electromagnetic quasi-zero-stiffness resonators for ultralow-frequency band gap tuning

    Kai Wang;Jiaxi Zhou;Huajiang Ouyang;Li Cheng

  • Free vibration analysis of a cylindrical shell—circular plate system with general coupling and various boundary conditions

    Li Cheng;J. Nicolas

  • Evaluation of fatigue cracks using nonlinearities of acousto-ultrasonic waves acquired by an active sensor network

    Chao Zhou;Chao Zhou;Ming Hong;Zhongqing Su;Qiang Wang;Qiang Wang

  • Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective

    Zhenguang Liu;Luming Zhang;Qi Liu;Yifang Yin

  • Enhancement of vibration based energy harvesting using compound acoustic black holes

    Hongli Ji;Yukun Liang;Jinhao Qiu;Li Cheng

  • Probability-based diagnostic imaging using hybrid features extracted from ultrasonic Lamb wave signals

    Chao Zhou;Zhongqing Su;Li Cheng

  • Effect of reinforcement volume fraction on the evolution of reinforcement size during the extrusion of Al-SiC composites

    L.M Tham;M Gupta;L Cheng

  • Void interaction and coalescence in polymeric materials

    L. Cheng;T.F. Guo

  • Energy transmission in a mechanically-linked double-wall structure coupled to an acoustic enclosure.

    L. Cheng;Y. Y. Li;J. X. Gao

  • Predicting delamination of composite laminates using an imaging approach

    Zhongqing Su;Li Cheng;Xiaoming Wang;Long Yu

Frequent Co-Authors

Zhongqing Su
Zhongqing Su Hong Kong Polytechnic University
Jinhao Qiu
Jinhao Qiu Nanjing University of Aeronautics and Astronautics
Xingjian Jing
Xingjian Jing City University of Hong Kong
Xiaowei Zhang
Xiaowei Zhang Nanjing University
Terry Caelli
Terry Caelli Deakin University
Minglun Gong
Minglun Gong University of Guelph
Jian Zhang
Jian Zhang University of Technology Sydney
Dale Schuurmans
Dale Schuurmans University of Alberta
Clément Gosselin
Clément Gosselin Université Laval
Lin Ye
Lin Ye Southern University of Science and Technology

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