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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:

Smartphone accelerometry to assess postural control in individuals with multiple sclerosis
Katherine L. Hsieh, Jacob J. Sosnoff
Gait & Posture (2020) Vol. 84, pp. 114-119
Closed Access | Times Cited: 21

Showing 21 citing articles:

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
Chest-Worn Inertial Sensors: A Survey of Applications and Methods
Mohammad Hasan Rahmani, Rafael Berkvens, Maarten Weyn
Sensors (2021) Vol. 21, Iss. 8, pp. 2875-2875
Open Access | Times Cited: 43
Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
Christina Salchow-Hömmen, Matej Skrobot, Magdalena C. E. Jochner, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 25
Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study
Lito Kriara, Frank Dondelinger, Luca Capezzuto, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63090-e63090
Open Access
Key Accelerometry Measures for Understanding Walking Sway during Dual-Task Exercises
Abdulaziz A. Alkathiry
Heliyon (2025) Vol. 11, Iss. 4, pp. e42160-e42160
Open Access
Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors
Ana González-Castro, José Alberto Bení­tez-Andrades, Rubén González-González, et al.
Digital Health (2025) Vol. 11
Open Access
Smartphone applications to assess gait and postural control in people with multiple sclerosis: A systematic review
Libak Abou, Ellyce Wong, Joseph Peters, et al.
Multiple Sclerosis and Related Disorders (2021) Vol. 51, pp. 102943-102943
Closed Access | Times Cited: 26
Leg Dominance—Surface Stability Interaction: Effects on Postural Control Assessed by Smartphone-Based Accelerometry
Arunee Promsri, Kotchakorn Bangkomdet, Issariya Jindatham, et al.
Sports (2023) Vol. 11, Iss. 4, pp. 75-75
Open Access | Times Cited: 10
Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
Roy Tzemah-Shahar, Maayan Agmon
Sensors (2021) Vol. 21, Iss. 22, pp. 7497-7497
Open Access | Times Cited: 23
Assessing the Stability of Human Gait Based on a Human Electrostatic Field Detection System
Sichao Qin, Jiaao Yan, Xi Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11036-11047
Closed Access | Times Cited: 2
Associations between respiratory function, balance, postural control, and fatigue in persons with multiple sclerosis: an observational study
Rodrigo Sanchez-Ruiz, Marta de la Plaza San Frutos, María Dolores Sosa-Reina, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
Usability of a Fall Risk mHealth App for People With Multiple Sclerosis: Mixed Methods Study
Katherine L. Hsieh, Jason Fanning, Mikaela L. Frechette, et al.
JMIR Human Factors (2021) Vol. 8, Iss. 1, pp. e25604-e25604
Open Access | Times Cited: 16
The Developments and Iterations of a Mobile Technology-Based Fall Risk Health Application
Katherine L. Hsieh, Mikaela L. Frechette, Jason Fanning, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 6
Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: a narrative review
Kayla Bohlke, Mark S. Redfern, Andrea Rosso, et al.
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 10, pp. 1991-2007
Closed Access | Times Cited: 3
A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study
Pim van Oirschot, Marco Heerings, Karine Wendrich, et al.
JMIR Formative Research (2021) Vol. 5, Iss. 11, pp. e29128-e29128
Open Access | Times Cited: 8
Use of accelerometry to investigate standing and dynamic body balance in people with cerebral palsy: A systematic review
Paola Janeiro Valenciano, Núbia Ribeiro da Conceição, Alexandre Jehan Marcori, et al.
Gait & Posture (2022) Vol. 96, pp. 357-364
Closed Access | Times Cited: 5
Testing the validity and reliability of a new android application-based accelerometer balance assessment tool for community-dwelling older adults
Kanokporn Pooranawatthanakul, Akkradate Siriphorn
Gait & Posture (2023) Vol. 104, pp. 103-108
Closed Access | Times Cited: 2
Are Core Stability Tests Related to Single Leg Squat Performance in Active Females?
Paloma Guillén-Rogel, David Barbado, Cristina Franco-Escudero, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5548-5548
Open Access | Times Cited: 4
Smartphone tests quantify lower extremities dysfunction in multiple sclerosis
Kimberly Jin, Péter Kósa, Bibiana Bielekova
Frontiers in Neurology (2024) Vol. 15
Open Access
Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study (Preprint)
Lito Kriara, Frank Dondelinger, Luca Capezzuto, et al.
(2024)
Closed Access
A Low-Cost Wearable System to Support Upper Limb Rehabilitation in Resource-Constrained Settings
Md. Sabbir Ahmed, Shajnush Amir, Samuelson Atiba, et al.
Pervasive Computing Technologies for Healthcare (2023), pp. 33-45
Closed Access | Times Cited: 1
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