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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:

A wearable sensor identifies alterations in community ambulation in multiple sclerosis: contributors to real-world gait quality and physical activity
Shirley Shema-Shiratzky, Inbar Hillel, Anat Mirelman, et al.
Journal of Neurology (2020) Vol. 267, Iss. 7, pp. 1912-1921
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
Cameron Kirk, Arne Küderle, M. Encarna Micó-Amigo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Fitness, physical activity, and exercise in multiple sclerosis: a systematic review on current evidence for interactions with disease activity and progression
Sebastian Proschinger, Puya Kuhwand, Annette Rademacher, et al.
Journal of Neurology (2022) Vol. 269, Iss. 6, pp. 2922-2940
Open Access | Times Cited: 53
Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective
Tim Woelfle, Lucie Bourguignon, Johannes Lorscheider, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44428-e44428
Open Access | Times Cited: 24
Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson’s disease, and matched controls
Vrutangkumar V. Shah, James McNames, Martina Mancini, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 63
Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple sclerosis in a clinical setting
Lorenza Angelini, William Hodgkinson, Craig Smith, et al.
Journal of Neurology (2020) Vol. 267, Iss. 10, pp. 2897-2909
Open Access | Times Cited: 52
Deep Phenotyping of Parkinson’s Disease
E. Ray Dorsey, Larsson Omberg, Emma Waddell, et al.
Journal of Parkinson s Disease (2020) Vol. 10, Iss. 3, pp. 855-873
Open Access | Times Cited: 50
Treadmill training with virtual reality to enhance gait and cognitive function among people with multiple sclerosis: a randomized controlled trial
Irina Galperin, Anat Mirelman, Tanja Schmitz‐Hübsch, et al.
Journal of Neurology (2022) Vol. 270, Iss. 3, pp. 1388-1401
Open Access | Times Cited: 30
Aging, Vestibular Function, and Balance: Proceedings of a National Institute on Aging/National Institute on Deafness and Other Communication Disorders Workshop
Yuri Agrawal, Daniel M. Merfeld, Fay B. Horak, et al.
The Journals of Gerontology Series A (2020) Vol. 75, Iss. 12, pp. 2471-2480
Open Access | Times Cited: 41
A novel graph-based hybrid deep learning of cumulative GRU and deeper GCN for recognition of abnormal gait patterns using wearable sensors
Jianning Wu, Jie‐Sheng Huang, Xiaoyan Wu, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120968-120968
Closed Access | Times Cited: 15
Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review
Ashley Polhemus, Ronny Bergquist, Magda Bosch de Basea, et al.
BMJ Open (2020) Vol. 10, Iss. 7, pp. e038704-e038704
Open Access | Times Cited: 38
The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review
Théo Jourdan, Noëlie Debs, Carole Frindel
Sensors (2021) Vol. 21, Iss. 14, pp. 4808-4808
Open Access | Times Cited: 31
The Sit-to-Stand Transition as a Biomarker for Impairment: Comparison of Instrumented 30-Second Chair Stand Test and Daily Life Transitions in Multiple Sclerosis
Lindsey J. Tulipani, Brett M. Meyer, Samantha R. Fox, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1213-1222
Open Access | Times Cited: 20
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease
Yonatan E Brand, Dafna Schwartz, Eran Gazit, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 7094-7094
Open Access | Times Cited: 19
Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
Ieuan Clay, Nele Peerenboom, Dana E. Connors, et al.
Digital Biomarkers (2023), pp. 28-44
Open Access | Times Cited: 12
Identifying Biomarkers for Remyelination and Recovery in Multiple Sclerosis: A Measure of Progress
Vito A. G. Ricigliano, Silvia Marenna, Serena Borrelli, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 357-357
Open Access
Characterizing gait in people with multiple sclerosis using digital data from smartphone sensors: A proposed framework
Angelos Karatsidis, Lorenza Angelini, Matthew Scaramozza, et al.
Multiple Sclerosis Journal (2025)
Closed Access
Gait characteristics in people with Friedreich ataxia: daily life versus clinic measures
Hannah Casey, Vrutangkumar V. Shah, Daniel Muzyka, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
Quantification of Daily-Living Gait Quantity and Quality Using a Wrist-Worn Accelerometer in Huntington's Disease
Karin Keren, Monica Busse, Nora E. Fritz, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 24
Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 10, pp. e0000120-e0000120
Open Access | Times Cited: 17
Association Between Frailty and Free-Living Walking Performance in People With Multiple Sclerosis
Tobia Zanotto, Irina Galperin, Anat Mirelman, et al.
Physical Therapy (2023) Vol. 103, Iss. 5
Open Access | Times Cited: 10
Concurrent Validity Evidence for Pressure-Sensing Walkways Measuring Spatiotemporal Features of Gait: A Systematic Review and Meta-Analysis
Ozell Sanders, Bin Wang, Kimberly Kontson
Sensors (2024) Vol. 24, Iss. 14, pp. 4537-4537
Open Access | Times Cited: 3
Distributional data analysis via quantile functions and its application to modeling digital biomarkers of gait in Alzheimer’s Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson, et al.
Biostatistics (2021) Vol. 24, Iss. 3, pp. 539-561
Open Access | Times Cited: 20
Instrumentally assessed gait quality is more relevant than gait endurance and velocity to explain patient‐reported walking ability in early‐stage multiple sclerosis
Ilaria Carpinella, Elisa Gervasoni, Denise Anastasi, et al.
European Journal of Neurology (2021) Vol. 28, Iss. 7, pp. 2259-2268
Closed Access | Times Cited: 19
Multidisciplinary Intensive Rehabilitation Program for People with Parkinson’s Disease: Gaps between the Clinic and Real-World Mobility
Moriya Cohen, Talia Herman, Natalie Ganz, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 3806-3806
Open Access | Times Cited: 7
Systematic review and meta-analysis of sedentary behavior in persons with multiple sclerosis
Peixuan Zheng, Sydney R. DeJonge, Victoria Flores, et al.
Multiple Sclerosis and Related Disorders (2023) Vol. 80, pp. 105124-105124
Closed Access | Times Cited: 7
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