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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:

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

Showing 1-25 of 36 citing articles:

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: 26
A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies
Alberto Nogales, Manuel Rodríguez-Aragón, Álvaro J. García‐Tejedor
Computers in Biology and Medicine (2024) Vol. 172, pp. 108082-108082
Open Access | Times Cited: 8
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
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
Enhancing Rehabilitation Assessment with Artificial Intelligence: A Comprehensive Investigation of Posture Quality Prediction Using Machine Learning
Wenxi Zhang
ITM Web of Conferences (2025) Vol. 70, pp. 02025-02025
Open Access
PhysioFormer: A Spatio-Temporal Transformer for Physical Rehabilitation Assessment
Aleksa Marusic, Sao Mai Nguyen, Adriana Tapus
Lecture notes in computer science (2025), pp. 169-179
Closed Access
D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation
Youssef Mourchid, Rim Slama
Computers in Biology and Medicine (2023) Vol. 165, pp. 107420-107420
Open Access | Times Cited: 12
A Skeleton-Based Rehabilitation Exercise Assessment System With Rotation Invariance
Kaili Zheng, Ji Wu, Jialin Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2612-2621
Open Access | Times Cited: 7
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
LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment
Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108382-108382
Open Access | Times Cited: 2
An Expert-Knowledge-based Graph Convolutional Network for Skeleton-based Physical Rehabilitation Exercises Assessment
Tian Chun He, Yang Chen, Ling Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1916-1925
Open Access | Times Cited: 2
Biomac3D: 2D-to-3D Human Pose Analysis Model for Tele-Rehabilitation Based on Pareto Optimized Deep-Learning Architecture
Rytis Maskeliūnas, Audrius Kulikajevas, Robertas Damaševičius, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1116-1116
Open Access | Times Cited: 6
Automatic rehabilitation assessment method of upper limb motor function based on posture and distribution force
Jing Bai, Guocheng Li, Xuanming Lu, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
CG-MER: a card game-based multimodal dataset for emotion recognition
Nisrine Farhat, Amine Bohi, Leila Ben Letaifa, et al.
(2024), pp. 20-20
Closed Access | Times Cited: 1
Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives
Mark Karlov, Ali Abedi, Shehroz S. Khan
Medical & Biological Engineering & Computing (2024)
Closed Access | Times Cited: 1
CBSA: A Deep Transfer Learning Framework for Assessing Post-Stroke Exercises
Manohar Murikipudi, Abm Adnan Azmee, Md Abdullah Al Hafiz Khan, et al.
(2024), pp. 85-96
Closed Access | Times Cited: 1
Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review
Wei Tang, Peter M. A. van Ooijen, Deborah A. Sival, et al.
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102952-102952
Open Access | Times Cited: 1
Cross-Modal Video to Body-Joints Augmentation for Rehabilitation Exercise Quality Assessment
Ali Abedi, Mobin Malmirian, Shehroz S. Khan
Communications in computer and information science (2024), pp. 320-327
Closed Access | Times Cited: 1
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
Analyzing Data Efficiency and Performance of Machine Learning Algorithms for Assessing Low Back Pain Physical Rehabilitation Exercises
Aleksa Marusic, Louis Annabi, Sao Mai Nguyen, et al.
(2023), pp. 1-6
Open Access | Times Cited: 4
MR-STGN: Multi-Residual Spatio Temporal Graph Network Using Attention Fusion for Patient Action Assessment
Youssef Mourchid, Rim Slama
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP) (2023), pp. 1-6
Open Access | Times Cited: 4
Tele-EvalNet: A Low-Cost, Teleconsultation System for Home Based Rehabilitation of Stroke Survivors Using Multiscale CNN-ConvLSTM Architecture
Aditya Kanade, Mansi Sharma, M. Manivannan
Lecture notes in computer science (2023), pp. 738-750
Closed Access | Times Cited: 3
Attention-Guided Deep Learning Framework For Movement Quality Assessment
Aditya Kanade, Mansi Sharma, M. Manivannan
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 3
Post-stroke Exercise Assessment using Hybrid Quantum Neural Network
Md Abdullah Al Hafiz Khan, Manohar Murikipudi, Abm Adnan Azmee
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 539-548
Closed Access | Times Cited: 3
A Graph Convolutional Siamese Network for the Assessment and Recognition of Physical Rehabilitation Exercises
Chengxian Li, Xichong Ling, Siyu Xia
Lecture notes in computer science (2023), pp. 229-240
Closed Access | Times Cited: 2
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