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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:

Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
Denise M. Peters, Emma S. O’Brien, Kira E. Kamrud, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies
Abdul Aziz Hulleck, Dhanya Menoth Mohan, Nada Abdallah, et al.
Frontiers in Medical Technology (2022) Vol. 4
Open Access | Times Cited: 96
Precision Rehabilitation: Optimizing Function, Adding Value to Health Care
Margaret A. French, Ryan T. Roemmich, Kelly Daley, et al.
Archives of Physical Medicine and Rehabilitation (2022) Vol. 103, Iss. 6, pp. 1233-1239
Closed Access | Times Cited: 56
Application of Home-Based Wearable Technologies in Physical Rehabilitation for Stroke: A Scoping Review
Sharon Fong Mei Toh, Kenneth N. K. Fong, Pablo Cruz González, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1614-1623
Open Access | Times Cited: 19
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
Gait and mobility assessment in neurological conditions
Samuel Stuart, P Tait, Julia Das, et al.
Elsevier eBooks (2025), pp. 343-375
Closed Access
Accelerometer in stroke rehabilitation: A modern look at the assessment of physical activity
Marina A. Kozlyakova, Anna V. Sirotenko, Arnella R. Chepnyan, et al.
Medical and Social Expert Evaluation and Rehabilitation (2025)
Open Access
Assessing gait variability concurrently with dynamic visual acuity on a treadmill in people with bilateral vestibulopathy
Christopher McCrum, Meichan Zhu, Paul Willems, et al.
Journal of Vestibular Research (2025)
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
A comprehensive review of navigation systems for visually impaired individuals
Mustufa Haider Abidi, Arshad Noor Siddiquee, Hisham Alkhalefah, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e31825-e31825
Open Access | Times Cited: 4
Recent Advances in Self-Powered Piezoelectric and Triboelectric Sensors: From Material and Structure Design to Frontier Applications of Artificial Intelligence
Zetian Yang, Zhongtai Zhu, Zixuan Chen, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8422-8422
Open Access | Times Cited: 28
The application of artificial intelligence and custom algorithms with inertial wearable devices for gait analysis and detection of gait-altering pathologies in adults: A scoping review of literature
Ashley Cha Yin Lim, Pragadesh Natarajan, R. Dineth Fonseka, et al.
Digital Health (2022) Vol. 8, pp. 205520762210741-205520762210741
Open Access | Times Cited: 19
A Survey of Technologies Facilitating Home and Community-Based Stroke Rehabilitation
Xiaohua Sun, Jiayan Ding, Yixuan Dong, et al.
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 5, pp. 1016-1042
Closed Access | Times Cited: 19
The Development of a Wearable Biofeedback System to Elicit Temporal Gait Asymmetry using Rhythmic Auditory Stimulation and an Assessment of Immediate Effects
Aliaa Gouda, Jan Andrysek
Sensors (2024) Vol. 24, Iss. 2, pp. 400-400
Open Access | Times Cited: 3
Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review
Mariano Bernaldo de Quirós, E.H. Douma, Inge van den Akker‐Scheek, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1050-1050
Open Access | Times Cited: 15
Wearable devices for gait and posture monitoring via telemedicine in people with movement disorders and multiple sclerosis: a systematic review
Francesca Salaorni, Giulia Bonardi, Federico Schena, et al.
Expert Review of Medical Devices (2023) Vol. 21, Iss. 1-2, pp. 121-140
Closed Access | Times Cited: 7
Psychometric properties of portable devices used in kinematic gait assessment after stroke: a systematic review protocol
Raiff Simplício da Silva, Stephano Silva, Vítor Santos, et al.
F1000Research (2024) Vol. 12, pp. 677-677
Open Access | Times Cited: 2
Can We Target Close Therapeutic Goals in the Gait Re-Education Algorithm for Stroke Patients at the Beginning of the Rehabilitation Process?
Agnieszka Wareńczak, Przemysław Lisiński
Sensors (2024) Vol. 24, Iss. 11, pp. 3416-3416
Open Access | Times Cited: 2
Agreement, Reliability, and Concurrent Validity of an Outdoor, Wearable-Based Walk Ratio Assessment in Healthy Adults and Chronic Stroke Survivors
Simone Huber, Ruud H. Knols, Jeremia P. O. Held, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 10
Association of digital measures and self-reported fatigue: a remote observational study in healthy participants and participants with chronic inflammatory rheumatic disease
Chaitra Rao, Elena Di Lascio, David Demanse, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 5
LSTM Network-Based Estimation of Ground Reaction Forces During Walking in Stroke Patients Using Markerless Motion Capture System
Ryo SUGAI, Shintaro Maeda, Ryosuke Shibuya, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 5, Iss. 4, pp. 1016-1024
Open Access | Times Cited: 5
Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol
Alexandru Sorici, Lidia Băjenaru, Irina Mocanu, et al.
Healthcare (2023) Vol. 11, Iss. 19, pp. 2656-2656
Open Access | Times Cited: 5
Multimodal Sensing in Stroke Motor Rehabilitation
Zihe Zhao, Jiaqi Wang, Shengbo Wang, et al.
Advanced Sensor Research (2023) Vol. 2, Iss. 9
Open Access | Times Cited: 5
Portable vision-based gait assessment for post-stroke rehabilitation using an attention-based lightweight CNN
Chengju Zhou, Daqin Feng, Shuyu Chen, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122074-122074
Closed Access | Times Cited: 5
Reliability of Surface Electromyography From the Lower-limb Muscles During Maximal and Submaximal Voluntary Isometric Contractions in In-bed Healthy Individuals and Patients With Subacute Stroke
Yong Hur, Byung‐Mo Oh, Han Gil Seo, et al.
Brain & Neurorehabilitation (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 1
Psychometric properties of wearable technologies to assess post-stroke gait parameters: A systematic review
Raiff Simplício da Silva, Stephano Tomaz da Silva, Daiane Carla Rodrigues Cardoso, et al.
Gait & Posture (2024) Vol. 113, pp. 543-552
Closed Access | Times Cited: 1
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