OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

AI-Driven Stroke Rehabilitation Systems and Assessment: A Systematic Review
Sejuti Rahman, Sujan Sarker, A. K. M. Nadimul Haque, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 192-207
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review
Ali Abedi, Tracey J. F. Colella, Maureen Pakosh, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 19

Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders
Andrea Calderone, Dèsiréè Latella, Mirjam Bonanno, et al.
Biomedicines (2024) Vol. 12, Iss. 10, pp. 2415-2415
Open Access | Times Cited: 10

AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
Isuru Senadheera, Prasad Hettiarachchi, Brendon S. Haslam, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6585-6585
Open Access | Times Cited: 7

Developing a virtual reality healthcare product based on data-driven concepts: A case study
Jing Qu, Yinuo Zhang, Weizhong Tang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102118-102118
Closed Access | Times Cited: 13

EGCN++: A New Fusion Strategy for Ensemble Learning in Skeleton-Based Rehabilitation Exercise Assessment
Bruce X.B. Yu, Yan Liu, K.C.C. Chan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 9, pp. 6471-6485
Closed Access | Times Cited: 4

Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers
Monira I. Aldhahi, Amal I. Alorainy, Mohammed Abuzaid, et al.
Healthcare (2025) Vol. 13, Iss. 4, pp. 350-350
Open Access

From screens to scenes: A survey of embodied AI in healthcare
Yihao Liu, Xu Cao, Tingting Chen, et al.
Information Fusion (2025), pp. 103033-103033
Closed Access

Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery
Spandana Rajendra Kopalli, Madhu Shukla, B Jayaprakash, et al.
Neuroscience (2025)
Closed Access

Two decades of breakthroughs: charting the future of NeuroEngineering and Rehabilitation
Paolo Bonato, David J. Reinkensmeyer, Mario Manto
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access

Harnessing the Power of Artificial Intelligence in Neuromuscular Disease Rehabilitation: A Comprehensive Review and Algorithmic Approach
Rocco de Filippis, Abdullah Al Foysal
Advances in Bioscience and Biotechnology (2024) Vol. 15, Iss. 05, pp. 289-309
Open Access | Times Cited: 3

Bibliometric and visualized analysis of the application of artificial intelligence in stroke
Fangyuan Xu, Ziliang Dai, Yu Ye, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3

Artificial Intelligence-driven Remote Monitoring Model for Physical Rehabilitation
Mohamed Jleli, Bessem Samet, Ashit Kumar Dutta
Deleted Journal (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 2

sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton
Gang Wang, Yongbai Liu, Keping Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106347-106347
Closed Access | Times Cited: 2

Recognition and Scoring Physical Exercises via Temporal and Relative Analysis of Skeleton Nodes Extracted from the Kinect Sensor
Raana Esmaeeli, Mohammad Javad Valadan Zoej, Alireza Safdarinezhad, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6713-6713
Open Access | Times Cited: 2

A Contrastive Learning Network for Performance Metric and Assessment of Physical Rehabilitation Exercises
Long Yao, Qing Lei, Hongbo Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3790-3802
Open Access | Times Cited: 4

Learning Skill Training Schedules From Domain Experts for a Multi-Patient Multi-Robot Rehabilitation Gym
Bikranta Adhikari, Varun R. Bharadwaj, Benjamin A. Miller, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4256-4265
Open Access | Times Cited: 2

Soft Ankle-Foot Exoskeleton for Rehabilitation: A Systematic Review of Actuation, Sensing, Mechanical Design, and Control Strategy
Wei Meng, Chang Zhu, Haojie Liu, et al.
IEEE Transactions on Medical Robotics and Bionics (2024) Vol. 6, Iss. 2, pp. 384-398
Open Access

A systematic review of the performance of Artificial Intelligence for automated DWI/FLAIR mismatch evaluation on MRI in ischemic stroke
Zahra Soltanali, Alireza Pourrahim, Chelsea Ruth-Ann Williams, et al.
Research Square (Research Square) (2024)
Open Access

Design and Evaluation of a Reconfigurable 7-DOF Upper Limb Rehabilitation Exoskeleton with Gravity Compensation
Linliang Zheng, Qingcong Wu, Yanghui Zhu, et al.
(2024), pp. 190-196
Closed Access

A Systematic Review of Machine Learning in Robotics-Assisted Rehabilitation
Giovanna Nicora, Samuele Pe, Gabriele Santangelo, et al.
Research Square (Research Square) (2024)
Open Access

Evaluating inter- and intra-rater reliability in assessing upper limb compensatory movements post-stroke: creating a ground truth through video analysis?
Lena Sauerzopf, Celina G. Chavez Panduro, Andreas R. Luft, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access

FOLD: Fog-dew infrastructure-aided optimal workload distribution for cloud robotic operations
Sujan Sarker, Md. Tanvir Arafat, Aiman Lameesa, et al.
Internet of Things (2024) Vol. 26, pp. 101185-101185
Closed Access

Page 1 - Next Page

Scroll to top