World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
49
Citations
8575
World Ranking
1228
National Ranking
83

Electronics and Electrical Engineering

D-Index
45
Citations
8110
World Ranking
3554
National Ranking
198

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

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Mechanical and Aerospace Engineering, exploring related online degrees can offer diverse career opportunities. Just as there are various type of counselors specializing in distinct fields, engineering students can consider programs in systems engineering, robotics, or materials science. These areas can complement traditional engineering degrees and broaden professional prospects.

When pursuing further education, many look for flexible options. Identifying the easiest counseling degree programs in related disciplines can provide insights on choosing courses that balance rigor with accessibility. Similarly, accelerated paths, like the accelerated BCBA program, illustrate how students can fast-track specialization or certification, a concept applicable in engineering with accelerated master's programs.

Prospective students should also consider admission competitiveness. Understanding how hard is it to get into speech pathology grad school provides perspective on acceptance rates and prerequisites, valuable when applying to top-tier engineering graduate programs. Ultimately, researching related degrees and career pathways strengthens decision-making and helps align academic goals with industry demands.

Best Scientists Citing Sheng Quan Xie

Trending Scientists

Recently Published Articles