Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Implementation of Wearable Sensing Technology for Movement: Pushing Forward into the Routine Physical Rehabilitation Care Field
Catherine E. Lang, Jessica Barth, Carey L. Holleran, et al.
Sensors (2020) Vol. 20, Iss. 20, pp. 5744-5744
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Advancing stroke rehabilitation: the role of wearable technology according to research experts
Amelia Cain, Tanisha Gunby, Carolee J. Winstein, et al.
Disability and Rehabilitation Assistive Technology (2025), pp. 1-10
Closed Access | Times Cited: 2
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: 57
Improvement in the Capacity for Activity Versus Improvement in Performance of Activity in Daily Life During Outpatient Rehabilitation
Catherine E. Lang, Carey L. Holleran, Michael Strube, et al.
Journal of Neurologic Physical Therapy (2022) Vol. 47, Iss. 1, pp. 16-25
Open Access | Times Cited: 46
Monitoring of child-specific activities in ambulatory children with and without developmental disabilities
Barbara Engels, Manon Bloemen, Richard A. W. Felius, et al.
BMC Pediatrics (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Upper Limb Performance in Daily Life Approaches Plateau Around Three to Six Weeks Post-stroke
Catherine E. Lang, Kimberly J. Waddell, Jessica Barth, et al.
Neurorehabilitation and neural repair (2021) Vol. 35, Iss. 10, pp. 903-914
Open Access | Times Cited: 51
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: 20
Wearable Technology to Capture Arm Use of People With Stroke in Home and Community Settings: Feasibility and Early Insights on Motor Performance
Marika Demers, Lauri Bishop, Amelia Cain, et al.
Physical Therapy (2024) Vol. 104, Iss. 2
Closed Access | Times Cited: 7
Lumbo-Pelvic Rhythm Monitoring Using Wearable Technology with Sensory Biofeedback: A Systematic Review
Miguel García-Jaén, Sergio Sebastiá-Amat, Gema Sanchís-Soler, et al.
Healthcare (2024) Vol. 12, Iss. 7, pp. 758-758
Open Access | Times Cited: 7
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: 7
Transferring Sensor-Based Assessments to Clinical Practice: The Case of Muscle Synergies
Alessandro Scano, Valentina Lanzani, Cristina Brambilla, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3934-3934
Open Access | Times Cited: 6
Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study
Gita Thanarajasingam, Paul G. Kluetz, Vishal Bhatnagar, et al.
BMJ Open (2024) Vol. 14, Iss. 1, pp. e074030-e074030
Open Access | Times Cited: 5
Adoption Intention of an IoT Based Healthcare Technologies in Rehabilitation Process
Branka Rodić, Eddy Listeš, Александра Лабус, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 11, pp. 2873-2886
Closed Access | Times Cited: 11
Wearable Activity Monitoring in Day-to-Day Stroke Care: A Promising Tool but Not Widely Used
Hanneke E. M. Braakhuis, Johannes B. J. Bussmann, Gerard M. Ribbers, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4066-4066
Open Access | Times Cited: 24
A 3D Printing Triboelectric Sensor for Gait Analysis and Virtual Control Based on Human–Computer Interaction and the Internet of Things
Yongsheng Zhu, Fengxin Sun, Changjun Jia, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10875-10875
Open Access | Times Cited: 18
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
Physical activity in professional training of physiotherapists
Karel Frömel, Jan Dygrýn, Michal Vorlíček, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
Smart clothing for human movement analysis: future application insport and clinical practice
Rachel Mason, Gill Barry, Rodrigo Vitório, et al.
Expert Review of Medical Devices (2025)
Closed Access
Construct validity and responsiveness of clinical upper limb measures and sensor-based arm use within the first year after stroke: a longitudinal cohort study
Johannes Pohl, Geert Verheyden, Jeremia P. O. Held, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Wearable sensors for measuring spontaneous upper limb use in children with unilateral cerebral palsy and typical development
Elena Beani, Mattia Franchi de 'Cavalieri, Silvia Filogna, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Monitoring physical behavior in pediatric physical therapy: A mixed methods feasibility study to evaluate a newly developed toolkit and training
Barbara Engels, Elles M.W. Kotte, Raoul Engelbert, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319659-e0319659
Open Access
High‐Intensity Gait Training for Patients After Stroke: A Feasibility Study
Iris Brunner, Gunhild Mo Hansen
Physiotherapy Research International (2025) Vol. 30, Iss. 2
Open Access
Perspectives of key stakeholders on integrating wearable sensor technology into rehabilitation care: a mixed-methods analysis
Allison Miller, Carey L. Holleran, Marghuretta D. Bland, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Hidden Markov model-based similarity measure (HMM-SM) for gait quality assessment of lower-limb prosthetic users using inertial sensor signals
Gabriel Ng, Jan Andrysek
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Associations Between Coordination and Wearable Sensor Variables Vary by Recording Context but Not Assessment Type
Jeffrey D. Konrad, Natasha Marrus, Keith R. Lohse, et al.
Journal of Motor Behavior (2024) Vol. 56, Iss. 3, pp. 339-355
Open Access | Times Cited: 3
Perspectives of Key Stakeholders on Integrating Wearable Sensor Technology into Rehabilitation Care: A Mixed-Methods Analysis
Allison Miller, Carey L. Holleran, Marghuretta D. Bland, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top