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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:

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

Showing 1-25 of 28 citing articles:

PAR-Net: An Enhanced Dual-Stream CNN–ESN Architecture for Human Physical Activity Recognition
Imran Khan, Jong Weon Lee
Sensors (2024) Vol. 24, Iss. 6, pp. 1908-1908
Open Access | Times Cited: 5
A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107485-107485
Open Access | Times Cited: 15
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
Enhanced Human Skeleton Tracking for Improved Joint Position and Depth Accuracy in Rehabilitation Exercises
Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 906-906
Open Access
Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis
Tao Yang, Jie Zhao, Ben Wang, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Accessibility to sports performance for greater inclusiveness through robotics and artificial intelligence research
Francesca De Marco, Antonio Brusini
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-7
Closed Access
Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem
Michael J. Ormond, Eric H Garling, J. Woo, et al.
Arthroscopy The Journal of Arthroscopic and Related Surgery (2025)
Closed Access
Comparative Study: Using Machine Learning Models Based Rehabilitation Therapy to Classify Diabetic Frozen Shoulder Exercises
Zaid Ahmed, Mohamed Sherif, Maha Abdelmohsen, et al.
Lecture notes in networks and systems (2025), pp. 684-698
Closed Access
Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review
Yizheng Zhou, Fadilla ‘Atyka Nor Rashid, Marizuana Mat Daud, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1586-1586
Open Access
Limb movement detection and analysis based on visual recognition of human posture
Zhiguo Xiao, Chunxiang Wang, Tianjiao Ding, et al.
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
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
MMG-Based Motion Segmentation and Recognition of Upper Limb Rehabilitation Using the YOLOv5s-SE
Gangsheng Cao, Jian Ji, Qing Wu, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2257-2257
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
Artificial Intelligence and Its Revolutionary Role in Physical and Mental Rehabilitation: A Review of Recent Advancements
Amir Rahmani Rasa
BioMed Research International (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 3
Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review
Xin Wang, Jie Zhang, Sheng Quan Xie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 7432-7447
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
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
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
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
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
Modeling rehabilitation dataset to implement effective AI assistive systems
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos
Miriama Jánošová, Petra Budíková, Jan Sedmidubský
Lecture notes in computer science (2024), pp. 73-87
Closed Access
Vision-based human action quality assessment: A systematic review
Jiang Liu, Huasheng Wang, Katarzyna Stawarz, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125642-125642
Open Access
SSL-Rehab: Assessment of physical rehabilitation exercises through self-supervised learning of 3D skeleton representations
Ikram Kourbane, Panagiotis Papadakis, Mihai Andries
Computer Vision and Image Understanding (2024), pp. 104275-104275
Closed Access
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