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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:

Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review
Issam Boukhennoufa, Xiaojun Zhai, Victor Utti, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103197-103197
Open Access | Times Cited: 107

Showing 1-25 of 107 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
BiomacVR: A Virtual Reality-Based System for Precise Human Posture and Motion Analysis in Rehabilitation Exercises Using Depth Sensors
Rytis Maskeliūnas, Robertas Damaševičius, Tomas Blažauskas, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 339-339
Open Access | Times Cited: 32
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
Ehab Essa, Islam R. Abdelmaksoud
Knowledge-Based Systems (2023) Vol. 278, pp. 110867-110867
Open Access | Times Cited: 32
The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
IEEE Access (2023) Vol. 11, pp. 11024-11043
Open Access | Times Cited: 23
A Survey of Wearable Sensors and Machine Learning Algorithms for Automated Stroke Rehabilitation
Nandini Sengupta, Aravinda S. Rao, Bernard Yan, et al.
IEEE Access (2024) Vol. 12, pp. 36026-36054
Open Access | Times Cited: 9
MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance
Minwoo Seong, Gwangbin Kim, Dohyeon Yeo, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Commercial device-based hand rehabilitation systems for stroke patients: State of the art and future prospects
Bo Sheng, Jianyu Zhao, Yanxin Zhang, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e13588-e13588
Open Access | Times Cited: 21
The Application of Wearable Sensors and Machine Learning Algorithms in Rehabilitation Training: A Systematic Review
Suyao Wei, Zhihui Wu
Sensors (2023) Vol. 23, Iss. 18, pp. 7667-7667
Open Access | Times Cited: 19
Upper limb assessment with inertial measurement units according to the international classification of functioning in stroke: a systematic review and correlation meta-analysis
Alex Martino Cinnera, P. Di Pietro, Alessio Bisirri, et al.
Topics in Stroke Rehabilitation (2023) Vol. 31, Iss. 1, pp. 66-85
Open Access | Times Cited: 18
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 18
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
Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease
Serena Dattola, Augusto Ielo, Angelo Quartarone, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 37-37
Open Access
Enhancing safety monitoring in post-stroke rehabilitation through wearable technologies
Kátia Daniele Rech, Maira J. da Cunha, Ana Paula Salazar, et al.
Clinical Rehabilitation (2025)
Closed Access
Muscle activity mapping by single peak localization from HDsEMG
Jonathan Lundsberg, Anders Björkman, Nebojša Malešević, et al.
Journal of Electromyography and Kinesiology (2025) Vol. 81, pp. 102976-102976
Closed Access
SmartCare—A comprehensive wearable sensor-based remote health monitoring and rehabilitation system
G. Boopathi Raja
Elsevier eBooks (2025), pp. 27-46
Closed Access
Smart sensor-based activity recognition for patients in healthcare
Nazgol Gharsi, Mohammadi Kamyar, Mohammad Shahbazi
Elsevier eBooks (2025), pp. 479-502
Closed Access
Using Wearable Sensors in Stroke Rehabilitation
Justin Amadeus Albert, Lin Zhou, Kristina Kirsten, et al.
Lecture notes in computer science (2025), pp. 277-282
Closed Access
Deep uncertainty quantification algorithms for confidence-aware hope classification of breast cancer patients based on their cognitive features
AmirReza Tajally, Javad Zarean Dowlat Abadi, Ali Bozorgi-Amiri, et al.
Applied Soft Computing (2025), pp. 112860-112860
Closed Access
Advanced sensors for smart healthcare: an introduction
Giovanni Diraco
Elsevier eBooks (2025), pp. 1-27
Closed Access
Physiotherapists’ Perspective on the Use of Wearable Technology for Independent At-Home Rehabilitation Post-Stroke in the UK: A Mixed-Methods Study
Bernardo Ascione, Ellie-J Hague-Barrett, Emily Mackeprang, et al.
Biosystems & biorobotics (2025), pp. 77-81
Closed Access
Identification of relevant research topics based on pooled bibliometric data of the International Journal of Hydrogen Energy publications for 2022–2024 from The Lens and ScienceDirect platforms
Boris Chigarev
Actual Problems of Oil and Gas (2025)
Closed Access
Experimental Analysis of the Gait Cycle Biomechanics in Order to Optimize the Process of Rehabilitation of the Locomotor System
Anca Ioana Tătaru, Mihaela Baritz, Mirela Gabriela Apostoaie, et al.
Lecture notes in networks and systems (2025), pp. 261-270
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
Clinical Application Research on Stroke Situational Intelligent Rehabilitation Training System Based on Wearable Devices: A Randomized Controlled Trial
Ying Lu, Kangjia Ding, Yu‐Tzu Dai, et al.
Healthcare (2025) Vol. 13, Iss. 7, pp. 708-708
Open Access
The New Frontier of Digital Twins in Next-Gen Wearables for Personalized Health Tracking
A. Ashwini, G. Santhiya, S. Balasubramaniam
Advances in computational intelligence and robotics book series (2025), pp. 107-138
Closed Access
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