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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:

Assessing Gait in Parkinson’s Disease Using Wearable Motion Sensors: A Systematic Review
Lorenzo Brognara, Pierpaolo Palumbo, Bernd Grimm, et al.
Diseases (2019) Vol. 7, Iss. 1, pp. 18-18
Open Access | Times Cited: 148

Showing 26-50 of 148 citing articles:

Video Based Mobility Monitoring of Elderly People Using Deep Learning Models
Laura Romeo, Roberto Marani, Tiziana D’Orazio, et al.
IEEE Access (2023) Vol. 11, pp. 2804-2819
Open Access | Times Cited: 14
A Magnetoelectric Distance Estimation System for Relative Human Motion Tracking
Johannes Hoffmann, Henrik Wolframm, Erik Engelhardt, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 495-495
Open Access
Future directions in clinical application of gait, balance and mobility analysis
Rachel Mason, P Tait, Rosie Morris, et al.
Elsevier eBooks (2025), pp. 467-483
Closed Access
Wearable sensors for gait, balance, and mobility
Conor Wall, Peter McMeekin, Richard Walker, et al.
Elsevier eBooks (2025), pp. 241-276
Closed Access
Automated Multicohort Mobility Assessment with an Instrumented L-test (iL-test)
José Albites-Sanabria, Pierpaolo Palumbo, Ilaria D’Ascanio, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 717-727
Open Access
An Interdisciplinary Overview on Ambient Assisted Living Systems for Health Monitoring at Home: Trade-Offs and Challenges
Baraa Zieni, Matthew Ritchie, Anna Maria Mandalari, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 853-853
Open Access
Comparison of different sensor locations on Freezing-of-Gait ratio results
Slávka Neťuková, Lucie Horáková, Evzen Růžička, et al.
IRBM (2025), pp. 100881-100881
Closed Access
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
Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks
Kooksung Jun, Yongwoo Lee, Sanghyub Lee, et al.
IEEE Access (2020) Vol. 8, pp. 139881-139891
Open Access | Times Cited: 38
Beneficial Effect of Foot Plantar Stimulation in Gait Parameters in Individuals with Parkinson’s Disease
Lorenzo Brognara, Emmanuel Navarro‐Flores, Lorenzo Iachemet, et al.
Brain Sciences (2020) Vol. 10, Iss. 2, pp. 69-69
Open Access | Times Cited: 36
Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors
Ilaria Mulas, Valeria Putzu, Gesuina Asoni, et al.
Aging Clinical and Experimental Research (2020) Vol. 33, Iss. 7, pp. 1853-1864
Open Access | Times Cited: 33
Wearable sensors in the diagnosis and study of Parkinson’s disease symptoms: a systematic review
Andrea C. Albán-Cadena, Fernando Villalba-Meneses, Kevin O. Pila‐Varela, et al.
Journal of Medical Engineering & Technology (2021) Vol. 45, Iss. 7, pp. 532-545
Closed Access | Times Cited: 31
Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
Nils Roth, Arne Küderle, Martin Ullrich, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 30
Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor
Luigi Borzì, Ivan Mazzetta, Alessandro Zampogna, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 412-412
Open Access | Times Cited: 21
Smoothness of Gait in Healthy and Cognitively Impaired Individuals: A Study on Italian Elderly Using Wearable Inertial Sensor
Massimiliano Pau, Ilaria Mulas, Valeria Putzu, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3577-3577
Open Access | Times Cited: 27
Analysis of Gait for Disease Stage in Patients with Parkinson’s Disease
Helena Vila, R. Ballestero Pérez, Irimia Mollinedo Cardalda, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 2, pp. 720-720
Open Access | Times Cited: 24
Recent State of Wearable IMU Sensors Use in People Living with Spasticity: A Systematic Review
Yehuda Weizman, Oren Tirosh, Franz Konstantin Fuss, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1791-1791
Open Access | Times Cited: 18
Automatic Detection Pipeline for Accessing the Motor Severity of Parkinson’s Disease in Finger Tapping and Postural Stability
Ning Yang, Defeng Liu, Tao Liu, et al.
IEEE Access (2022) Vol. 10, pp. 66961-66973
Open Access | Times Cited: 16
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease
Stefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4983-4983
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
Quantification of Arm Swing during Walking in Healthy Adults and Parkinson’s Disease Patients: Wearable Sensor-Based Algorithm Development and Validation
Elke Warmerdam, Robbin Romijnders, Julius Welzel, et al.
Sensors (2020) Vol. 20, Iss. 20, pp. 5963-5963
Open Access | Times Cited: 25
Postural instability in Parkinson’s disease: Review and bottom-up rehabilitative approaches
Frédéric Viseux, Arnaud Delval, Luc Defebvre, et al.
Neurophysiologie Clinique (2020) Vol. 50, Iss. 6, pp. 479-487
Closed Access | Times Cited: 25
Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson’s Disease
Stefano Filippo Castiglia, Antonella Tatarelli, Dante Trabassi, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3449-3449
Open Access | Times Cited: 22
Gait monitoring system for patients with Parkinson’s disease
Helena Gonçalves, Margarida Rodrigues, Cristina P. Santos
Expert Systems with Applications (2021) Vol. 185, pp. 115653-115653
Open Access | Times Cited: 21
Digital Health Technology to Measure Drug Efficacy in Clinical Trials for Parkinson’s Disease: A Regulatory Perspective
Leonard Sacks, Elizabeth Kunkoski
Journal of Parkinson s Disease (2021) Vol. 11, Iss. s1, pp. S111-S115
Open Access | Times Cited: 20

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