OpenAlex Citation Counts

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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:

A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Yalin Liao, Aleksandar Vakanski, Min Xian
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 2, pp. 468-477
Open Access | Times Cited: 165

Showing 1-25 of 165 citing articles:

Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training
Yuhang Qiu, Jiping Wang, Zhe Jin, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103323-103323
Closed Access | Times Cited: 151

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

A review of computational approaches for evaluation of rehabilitation exercises
Yalin Liao, Aleksandar Vakanski, Min Xian, et al.
Computers in Biology and Medicine (2020) Vol. 119, pp. 103687-103687
Open Access | Times Cited: 86

A Survey of Vision-Based Human Action Evaluation Methods
Qing Lei, Ji‐Xiang Du, Hongbo Zhang, et al.
Sensors (2019) Vol. 19, Iss. 19, pp. 4129-4129
Open Access | Times Cited: 80

An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques
Nadia Nasri, Sergio Orts‐Escolano, Miguel Cazorla
Sensors (2020) Vol. 20, Iss. 22, pp. 6451-6451
Open Access | Times Cited: 70

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review
Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106835-106835
Open Access | Times Cited: 28

Machine Learning in Robot-Assisted Upper Limb Rehabilitation: A Focused Review
Qingsong Ai, Zemin Liu, Wei Meng, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 15, Iss. 4, pp. 2053-2063
Open Access | Times Cited: 45

Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises
Swakshar Deb, Md. Fokhrul Islam, Shafin Rahman, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 410-419
Open Access | Times Cited: 36

Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework
Farid Kadri, Abdelkader Dairi, Fouzi Harrou, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 11481-11495
Open Access | Times Cited: 29

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

Dynamic Edge Convolutional Neural Network for Skeleton-Based Human Action Recognition
Nusrat Tasnim, Joong-Hwan Baek
Sensors (2023) Vol. 23, Iss. 2, pp. 778-778
Open Access | Times Cited: 18

Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets
Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 6

Rehabilitation Exercise Recognition and Evaluation Based on Smart Sensors With Deep Learning Framework
Wentong Zhang, Caixia Su, Chuan He
IEEE Access (2020) Vol. 8, pp. 77561-77571
Open Access | Times Cited: 44

Hybridized Hierarchical Deep Convolutional Neural Network for Sports Rehabilitation Exercises
Dapeng Tang
IEEE Access (2020) Vol. 8, pp. 118969-118977
Open Access | Times Cited: 42

Semi-Supervised Action Quality Assessment With Self-Supervised Segment Feature Recovery
Shaojie Zhang, Jiahui Pan, Jibin Gao, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 32, Iss. 9, pp. 6017-6028
Closed Access | Times Cited: 23

A Joint Global–Local Network for Human Pose Estimation With Millimeter Wave Radar
Zhongping Cao, Wen Ding, Rihui Chen, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 434-446
Closed Access | Times Cited: 22

A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude
Danilo Avola, Irene Cannistraci, Marco Cascio, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4110-4110
Open Access | Times Cited: 22

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework
Joshua G. A. Cashaback, Jessica L. Allen, Amber H.Y. Chou, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 5

Intelligent Robotics in Pediatric Cooperative Neurorehabilitation: A Review
Elishai Ezra Tsur, Odelia Elkana
Robotics (2024) Vol. 13, Iss. 3, pp. 49-49
Open Access | Times Cited: 5

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

Optimized assessment of physical rehabilitation exercises using spatiotemporal, sequential graph-convolutional networks
Ikram Kourbane, Panagiotis Papadakis, Mihai Andries
Computers in Biology and Medicine (2025) Vol. 186, pp. 109578-109578
Open Access

PER-HDL: Physiotherapy exercise recognition with RGB-D Kinect sensor and hybrid deep learning models
Vishwanath Bijalwan, Hangyeol Baek, Abdul Mannan Khan, et al.
Elsevier eBooks (2025), pp. 153-174
Closed Access

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