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:

AI in Rehabilitation Medicine: Opportunities and Challenges
Francesco Lanotte, Megan K. O’Brien, Arun Jayaraman
Annals of Rehabilitation Medicine (2023) Vol. 47, Iss. 6, pp. 444-458
Open Access | Times Cited: 19

Showing 19 citing articles:

AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach
Rocco Salvatore Calabrò, Sepehr Mojdehdehbaher
AI (2025) Vol. 6, Iss. 3, pp. 62-62
Open Access | Times Cited: 1

Impact of Artificial Intelligence on Healthcare and Its Challenges in the MENA Region
Walid Hleihel, Najib Najjar
(2025), pp. 131-144
Closed 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

Deep Learning for Predicting Rehabilitation Success: Advancing Clinical and Patient-Reported Outcome Modeling
Yasser Mahmoud, Kaleb Horvath, Yi Zhou
Electronics (2025) Vol. 14, Iss. 6, pp. 1082-1082
Open Access

Functional and Motoric Outcome of AI-Assisted Stroke Rehabilitation: A Meta-analysis of Randomized Controlled Trials
Tivano Antoni, Benedictus Benedictus, Stefanus Erdana Putra
Brain Disorders (2025), pp. 100224-100224
Open Access

Patient Perspectives and Outcomes
K. Jayasankara Reddy
(2025), pp. 111-135
Closed Access

Technological Innovations in Rehabilitation: Artificial Intelligence
K. Jayasankara Reddy
(2025), pp. 73-91
Closed Access

Artificial Intelligence in Medical Education and Mentoring in Rehabilitation Medicine
Julie K. Silver, Mustafa Reha Dodurgali, Nara Gavini
American Journal of Physical Medicine & Rehabilitation (2024) Vol. 103, Iss. 11, pp. 1039-1044
Closed Access | Times Cited: 3

Applying AI to Safely and Effectively Scale Care to Address Chronic MSK Conditions
Anabela C. Areias, Dora Janela, Robert Moulder, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 15, pp. 4366-4366
Open Access | Times Cited: 1

Beyond the Hype
Adan Khan, Venus Oseyi Omokhoa, Safa Inaya Afzal
Advances in medical technologies and clinical practice book series (2024), pp. 1-22
Closed Access | Times Cited: 1

Using AI to navigate complex neurosurgical procedures in rare gliomas
Mayur Wanjari, Gaurav Mittal, Roshan Prasad
Neurosurgical Review (2024) Vol. 47, Iss. 1
Closed Access | Times Cited: 1

Blending Bytes and Bench Presses: The Future of Online Exercise and Artificial Intelligence-Enhanced Rehabilitation
Rowena Naidoo, Verusia Chetty
Journal of Physical Activity and Health (2024), pp. 1-2
Closed Access | Times Cited: 1

Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors
Francesco Lanotte, Shusuke Okita, Megan K. O’Brien, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 1

Classification of Gait Phases by Using SVM and ANN Based on EMG Signals
Nurhazimah Nazmi, Shin-ichiroh Yamamoto, Muhammad Amirul Sunni Rohim, et al.
(2024), pp. 1-6
Closed Access

Minimum Required Distance for Clinically Significant Measurement of Habitual Gait Speed
Myung Woo Park, Sun Gun Chung, Jaewon Beom, et al.
Research Square (Research Square) (2024)
Closed Access

Prediction of Responders to Post-stroke Rehabilitation Therapy Based on Section GG of the Inpatient Rehabilitation Facility-Patient Assessment Instrument
Francesco Lanotte, Shusuke Okita, Silvia Campagnini, et al.
Biosystems & biorobotics (2024), pp. 567-571
Closed Access

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