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:

Surrogates for rigidity and PIGD MDS-UPDRS subscores using wearable sensors
Delaram Safarpour, Marian L. Dale, Vrutangkumar V. Shah, et al.
Gait & Posture (2021) Vol. 91, pp. 186-191
Open Access | Times Cited: 19

Showing 19 citing articles:

Application of Wearable Sensors in Parkinson’s Disease: State of the Art
Anastasia Bougea
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 2, pp. 23-23
Open Access | Times Cited: 1

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: 22

Clinical Evaluation in Parkinson’s Disease: Is the Golden Standard Shiny Enough?
Foivos S. Kanellos, Konstantinos I. Tsamis, George Rigas, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3807-3807
Open Access | Times Cited: 11

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

Parkinson's disease and Covid-19: The effect and use of telemedicine
Aleksandra Podlewska, Daniel J. van Wamelen
International review of neurobiology (2022), pp. 263-281
Open Access | Times Cited: 14

Identification and description of telerehabilitation assessments for individuals with neurological conditions: A scoping review
Jennifer O’Neil, Keely Barnes, Erin Donnelly, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 8

Wearable devices for gait and posture monitoring via telemedicine in people with movement disorders and multiple sclerosis: a systematic review
Francesca Salaorni, Giulia Bonardi, Federico Schena, et al.
Expert Review of Medical Devices (2023) Vol. 21, Iss. 1-2, pp. 121-140
Closed Access | Times Cited: 8

Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson’s Disease
Laura Dipietro, Uri T. Eden, Seth Elkin-Frankston, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Closed Access | Times Cited: 2

Assessing the clinical utility of inertial sensors for home monitoring in Parkinson’s disease: a comprehensive review
Stefano Sapienza, Olena Tsurkalenko, Marijus Giraitis, et al.
npj Parkinson s Disease (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1

Digital biomarkers in Parkinson’s disease
Anastasia Bougea
Advances in clinical chemistry (2024), pp. 221-253
Closed Access | Times Cited: 1

Circular walking is useful for assessing the risk of falls in early progressive supranuclear palsy
Masahiro Ohara, Kosei Hirata, Taiki Matsubayashi, et al.
Journal of Neurology (2024) Vol. 271, Iss. 9, pp. 6349-6358
Closed Access | Times Cited: 1

Smartwatch gait coordination index: New measure for human gait utilizing smartwatch sensor
Sumin Han, Rob Paul
Medicine (2023) Vol. 102, Iss. 12, pp. e33267-e33267
Open Access | Times Cited: 3

A multimodal dataset of real world mobility activities in Parkinson’s disease
Catherine Morgan, Emma Tonkin, Alessandro Masullo, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 3

TULIP: Multi-Camera 3D Precision Assessment of Parkinson's Disease
Kyungdo Kim, Sihan Lyu, Sneha Mantri, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 22551-22562
Closed Access

Study and Development of Novel Experimental Methods for Rigidity Assessment in Parkinson’s Disease Using sEMG and IMU Wearable Sensors
Beatrice Francalanci, Erika Rovini, Pietro Benvenuti, et al.
Lecture notes in bioengineering (2024), pp. 136-152
Closed Access

Gait instability and compensatory mechanisms in Parkinson's disease with camptocormia: An exploratory study
Hideyuki Urakami, Yasutaka Nikaido, Yasuhito Okuda, et al.
Journal of Movement Disorders (2024)
Open Access

Digital biomarkers in movement disorders
Daniele Urso, Daniel J. van Wamelen, Dhaval Trivedi, et al.
International review of movement disorders (2023), pp. 49-70
Closed Access | Times Cited: 1

Correlation between wearable inertial sensor data and standardised Parkinson’s disease axial impairment measures using machine learning
Luigi Borzì, Alessandro Manoni, Alessandro Zampogna, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022) Vol. 62, pp. 732-736
Closed Access

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