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 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: 27

Showing 1-25 of 27 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

The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review
Eman A Jafleh, Fatima A Alnaqbi, Hind A Almaeeni, et al.
Cureus (2024)
Open Access | Times Cited: 15

Gait and Balance Assessments using Smartphone Applications in Parkinson’s Disease: A Systematic Review
Libak Abou, Joseph Peters, Ellyce Wong, et al.
Journal of Medical Systems (2021) Vol. 45, Iss. 9
Open Access | Times Cited: 49

Gait Assessment Using Smartphone Applications in Older Adults: A Scoping Review
Lorenzo Brognara
Geriatrics (2024) Vol. 9, Iss. 4, pp. 95-95
Open Access | Times Cited: 7

Smartphone-based gait and balance assessment in survivors of stroke: a systematic review
Joseph Peters, Libak Abou, Ellyce Wong, et al.
Disability and Rehabilitation Assistive Technology (2022) Vol. 19, Iss. 1, pp. 177-187
Closed Access | Times Cited: 22

Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study
Tim Woelfle, Silvan Pless, Óscar Reyes, et al.
Journal of Neurology (2022) Vol. 270, Iss. 1, pp. 262-271
Open Access | Times Cited: 21

Determinants of gait dystonia severity in cerebral palsy
Bhooma R. Aravamuthan, Toni S. Pearson, Keisuke Ueda, et al.
Developmental Medicine & Child Neurology (2023) Vol. 65, Iss. 7, pp. 968-977
Closed Access | Times Cited: 11

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

Psychometric Characteristics of Smartphone-Based Gait Analyses in Chronic Health Conditions: A Systematic Review
Tobias Bea, Hélmi Chaabène, Constantin Wilhelm Freitag, et al.
Journal of Functional Morphology and Kinesiology (2025) Vol. 10, Iss. 2, pp. 133-133
Open Access

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

Effects of Different Wearable Resistance Placements on Running Stability
Arunee Promsri, Siriyakorn Deedphimai, Petradda Promthep, et al.
Sports (2024) Vol. 12, Iss. 2, pp. 45-45
Open Access | Times Cited: 3

A Scoping Review of the Validity and Reliability of Smartphone Accelerometers When Collecting Kinematic Gait Data
Clare Strongman, Francesca Cavallerio, Matthew A. Timmis, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8615-8615
Open Access | Times Cited: 6

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: 9

Tablet app-based dexterity training in multiple sclerosis (TAD-MS): a randomized controlled trial
Judith J. W. van Beek, Dirk Lehnick, Manuela Pastore‐Wapp, et al.
Disability and Rehabilitation Assistive Technology (2022) Vol. 19, Iss. 3, pp. 889-899
Closed Access | Times Cited: 6

Recording context matters: Differences in gait parameters collected by the OneStep smartphone application
Gabriela Rozanski, David Putrino
Clinical Biomechanics (2022) Vol. 99, pp. 105755-105755
Closed Access | Times Cited: 4

Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study
Matthew Scaramozza, Aurélie Ruet, Patrizia A. Chiesa, et al.
JMIR Formative Research (2024) Vol. 8, pp. e60673-e60673
Open Access

Measuring Disease Progression in Multiple Sclerosis Clinical Drug Trials and Impact on Future Patient Care
Floriana De Angelis, Riccardo Nistri, Sarah Wright
CNS Drugs (2024)
Closed Access

Assessment of pelvic motion during single leg weightbearing tasks using smartphone sensors: a validity study (Preprint)
Xi Yu, Zhongsheng Li, Surendran Vatatheeswaran, et al.
JMIR Rehabilitation and Assistive Technologies (2024)
Open Access

Spatiotemporal parameters from remote smartphone-based gait analysis are associated with lower extremity functional scale categories
Gabriela Rozanski, Andrew Delgado, David Putrino
Frontiers in Rehabilitation Sciences (2023) Vol. 4
Open Access | Times Cited: 1

A Concept Model of mHealth Sensorics for Digital Assistance of Human Cognitive Resilience
A. Yu. Meigal, Liudmila Gerasimova-Meigal, Dmitry Korzun
(2023), pp. 100-107
Closed Access | Times Cited: 1

Remote Testing Apps for Multiple Sclerosis Patients: Scoping Review of Published Articles and Systematic Search and Review of Public Smartphone Apps
Jacob B. Michaud, Cameron Penny, Olivia Cull, et al.
JMIR Neurotechnology (2022) Vol. 2, pp. e37944-e37944
Open Access | Times Cited: 1

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