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 49 1229 1130 83 72 256 8575
Electronics and Electrical Engineering 45 3554 3410 198 192 243 8110

Sheng Quan Xie publications per year

The chart shows the history of publications by Sheng Quan Xie between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sheng Quan Xie published across 26 years, from 2000 to 2025, averaging 16.5 papers a year. Output peaked at 62 publications in 2025. 99 of the 429 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 62. Peak 62 publications in 2025. 2000: 4 publications 2001: 3 publications 2002: 2 publications 2003: 1 publication 2004: 1 publication 2005: 4 publications 2006: 5 publications 2007: 11 publications 2008: 19 publications 2009: 26 publications 2010: 19 publications 2011: 22 publications 2012: 12 publications 2013: 19 publications 2014: 12 publications 2015: 14 publications 2016: 18 publications 2017: 12 publications 2018: 25 publications 2019: 18 publications 2020: 14 publications 2021: 18 publications 2022: 20 publications 2023: 31 publications 2024: 37 publications 2025: 62 publications
2000 2025

429 publications in total across all disciplines

View publications per year as a table
Sheng Quan Xie: publications per year, 2000 to 2025
Year Publications
2000 4
2001 3
2002 2
2003 1
2004 1
2005 4
2006 5
2007 11
2008 19
2009 26
2010 19
2011 22
2012 12
2013 19
2014 12
2015 14
2016 18
2017 12
2018 25
2019 18
2020 14
2021 18
2022 20
2023 31
2024 37
2025 62
Total 429
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Sheng Quan Xie 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 Sheng Quan Xie 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, 247–256 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: 256 publications — 62nd percentile

62% 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
247–256 100 256
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
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Sheng Quan Xie 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 Sheng Quan Xie 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, 49 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: 49 D-Index — 65th percentile

65% 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 49
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
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

Sheng Quan Xie is affiliated with the University of Leeds in the United Kingdom. Their research primarily spans the fields of Engineering and Medicine, with a focus on Biomedical Engineering, Rehabilitation, Control and Systems Engineering, Cognitive Neuroscience, and Computer Vision and Pattern Recognition. The scientist's work addresses various topics including muscle activation and electromyography studies, stroke rehabilitation and recovery, prosthetics and rehabilitation robotics, EEG and brain-computer interfaces, neuroscience and neural engineering, advanced sensor and energy harvesting materials, and soft robotics and applications.

Their recent papers include the following:

  • Data Analytics in Steady-State Visual Evoked Potential-Based Brain-Computer Interface: A Review (2020, IEEE Sensors Journal)
  • Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG (2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering)
  • A CNN-LSTM Hybrid Model for Wrist Kinematics Estimation Using Surface Electromyography (2020, IEEE Transactions on Instrumentation and Measurement)
  • A highly sensitive stretchable strain sensor based on multi-functionalized fabric for respiration monitoring and identification (2021, Chemical Engineering Journal)
  • An EMG-Driven Musculoskeletal Model for Estimating Continuous Wrist Motion (2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering)

Frequent co-authors in their research include Zhiqiang Zhang, Wei Meng, Zhenghong Li, Quan Liu, and Qingsong Ai.

Key publication venues for Sheng Quan Xie cover:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • IEEE Sensors Journal
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Robotics and Automation Letters

Their work contributes to knowledge and development in engineering applications aimed at rehabilitation and neural systems, utilizing advanced data analytics, sensor technologies, and machine learning methods.

Best Publications

  • Exoskeleton robots for upper-limb rehabilitation: State of the art and future prospects

    Ho Shing Lo;Sheng Quan Xie

  • Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation

    Wei Meng;Wei Meng;Quan Liu;Zude Zhou;Qingsong Ai

  • Assessment of movement quality in robot- assisted upper limb rehabilitation after stroke: a review.

    Nurdiana Nordin;Nurdiana Nordin;Sheng Quan Xie;Sheng Quan Xie;Burkhard Wünsche

  • An Adaptive Wearable Parallel Robot for the Treatment of Ankle Injuries

    Prashant K. Jamwal;Sheng Q. Xie;Shahid Hussain;John G. Parsons

  • Adaptive Impedance Control of a Robotic Orthosis for Gait Rehabilitation

    S. Hussain;S. Q. Xie;P. K. Jamwal

  • Control strategies for effective robot assisted gait rehabilitation: The state of art and future prospects

    Jinghui Cao;Sheng Quan Xie;Sheng Quan Xie;Raj Das;Guo L. Zhu

  • Survey paper: Computer-Aided Inspection Planning-The state of the art

    Fiona Zhao;Xun Xu;S. Q. Xie

  • Additive Manufacturing of Customized Metallic Orthopedic Implants: Materials, Structures, and Surface Modifications

    Long Bai;Cheng Gong;Xiaohong Chen;Yuanxi Sun

  • Robot assisted treadmill training: Mechanisms and training strategies

    Shahid Hussain;Sheng Quan Xie;Guangyu Liu

  • Kinematic design optimization of a parallel ankle rehabilitation robot using modified genetic algorithm

    Prashant Kumar Jamwal;Shengquan Xie;Kean C. Aw

  • High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence

    Qingsong Ai;Da Ke;Jie Zuo;Wei Meng

  • Robust Iterative Feedback Tuning Control of a Compliant Rehabilitation Robot for Repetitive Ankle Training

    Wei Meng;Sheng Quan Xie;Quan Liu;Charles Z. Lu

  • Dielectric elastomer switches for smart artificial muscles

    Benjamin M. O’Brien;Emilio P. Calius;Tokushu Inamura;Sheng Q. Xie

  • Recent development of knowledge-based systems, methods and tools for One-of-a-Kind Production

    B. M. Li;S. Q. Xie;X. Xu

  • A CNN-LSTM Hybrid Framework for Wrist Kinematics Estimation Using Surface Electromyography

    Tianzhe Bao;Syed Ali Raza Zaidi;Shengquan Xie;Pengfei Yang

  • Upper limb rehabilitation using robotic exoskeleton systems: a systematic review

    Naqash Rehmat;Jie Zuo;Wei Meng;Wei Meng;Quan Liu

  • Bilateral robots for upper-limb stroke rehabilitation: State of the art and future prospects

    Bo Sheng;Yanxin Zhang;Wei Meng;Chao Deng

  • Review: Recent Development of Signal Processing Algorithms for SSVEP-based Brain Computer Interfaces

    Quan Liu;Kun Chen;Qingsong Ai;Sheng Quan Xie

  • Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) With Enhanced Training Safety

    Mingming Zhang;Sheng Q. Xie;Xiaolong Li;Guoli Zhu

  • Agent technology for collaborative process planning: a review

    W. J. Zhang;S. Q. Xie

  • Product Development Cost Estimation in Mass Customization

    Y.L. Tu;S.Q. Xie;R.Y.K. Fung

  • An iterative fuzzy controller for pneumatic muscle driven rehabilitation robot

    S. Q. Xie;P. K. Jamwal

Frequent Co-Authors

Xun Xu
Xun Xu University of Auckland
Zude Zhou
Zude Zhou Wuhan University of Technology
Weiliang Xu
Weiliang Xu University of Auckland
Raj Das
Raj Das RMIT University
Richard Y. K. Fung
Richard Y. K. Fung City University of Hong Kong
Valeriy Vyatkin
Valeriy Vyatkin Aalto University
Mergen H. Ghayesh
Mergen H. Ghayesh University of Adelaide
G. Gary Wang
G. Gary Wang University of Science and Technology of China
Pai Zheng
Pai Zheng Hong Kong Polytechnic University
Lihua Tang
Lihua Tang University of Auckland

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