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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:

Using wearables to assess bradykinesia and rigidity in patients with Parkinson’s disease: a focused, narrative review of the literature
Itay Teshuva, Inbar Hillel, Eran Gazit, et al.
Journal of Neural Transmission (2019) Vol. 126, Iss. 6, pp. 699-710
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Long-term unsupervised mobility assessment in movement disorders
Elke Warmerdam, Jeffrey M. Hausdorff, Arash Atrsaei, et al.
The Lancet Neurology (2020) Vol. 19, Iss. 5, pp. 462-470
Open Access | Times Cited: 251
Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device
Nikhil Mahadevan, Charmaine Demanuele, Hao Zhang, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 111
Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors
Nicholas Shawen, Megan K. O’Brien, Sanjeev Venkatesan, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 81
Body-Worn Sensors for Remote Monitoring of Parkinson’s Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead
Silvia Del Din, Cameron Kirk, Alison J. Yarnall, et al.
Journal of Parkinson s Disease (2021) Vol. 11, Iss. s1, pp. S35-S47
Open Access | Times Cited: 73
Outcome measures based on digital health technology sensor data: data- and patient-centric approaches
Kirsten I. Taylor, Hannah Staunton, Florian Lipsmeier, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 69
Quantitative Measurement of Rigidity in Parkinson’s Disease: A Systematic Review
María del Rosario Ferreira-Sánchez, Marcos Moreno-Verdú, Roberto Cano‐de‐la‐Cuerda
Sensors (2020) Vol. 20, Iss. 3, pp. 880-880
Open Access | Times Cited: 53
The Disease Modification Conundrum in Parkinson’s Disease: Failures and Hopes
Zoltán Mari, Tiago Mestre
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 29
Automated assessment of Parkinsonian finger-tapping tests through a vision-based fine-grained classification model
Hao Li, Xiangxin Shao, Chencheng Zhang, et al.
Neurocomputing (2021) Vol. 441, pp. 260-271
Closed Access | Times Cited: 33
Detecting Parkinson’s Disease from Wrist-Worn Accelerometry in the U.K. Biobank
James R. Williamson, Brian A. Telfer, Riley Mullany, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2047-2047
Open Access | Times Cited: 32
Kinematic Effects of Combined Subthalamic and Dorsolateral Nigral Deep Brain Stimulation in Parkinson’s Disease
Daniel Kroneberg, Bassam Al‐Fatly, Cornelia Morkos, et al.
Journal of Parkinson s Disease (2024) Vol. 14, Iss. 2, pp. 269-282
Open Access | Times Cited: 4
Wearables
Sujitha Mahendran, Lukas L. Imbach
Cambridge University Press eBooks (2025), pp. 699-703
Closed Access
Digital gait biomarkers in Parkinson’s disease: susceptibility/risk, progression, response to exercise, and prognosis
Martina Mancini, Mitra Afshari, Quincy J. Almeida, et al.
npj Parkinson s Disease (2025) Vol. 11, Iss. 1
Open Access
Assessment and Post-Intervention Recovery After Surgery for Lumbar Disk Herniation Based on Objective Gait Metrics from Wearable Devices Using the Gait Posture Index
Finn Ghent, Ralph J. Mobbs, Redmond Ross Mobbs, et al.
World Neurosurgery (2020) Vol. 142, pp. e111-e116
Closed Access | Times Cited: 32
Quantitative assessment of essential tremor based on machine learning methods using wearable device
Chenbin Ma, Deyu Li, Longsheng Pan, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103244-103244
Closed Access | Times Cited: 27
Digital Phenotyping in Clinical Neurology
Anoopum S. Gupta
Seminars in Neurology (2022) Vol. 42, Iss. 01, pp. 048-059
Open Access | Times Cited: 19
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
Shear wave elastography characteristics of upper limb muscle in rigidity-dominant Parkinson’s disease
Chang Wei Ding, Xin Song, Xin Fu, et al.
Neurological Sciences (2021) Vol. 42, Iss. 10, pp. 4155-4162
Closed Access | Times Cited: 19
A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson’s disease using an ambulatory monitor
Hamid Khodakarami, Navid Shokouhi, Malcolm Horne
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 19
Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson’s Disease
Kevin B. Wilkins, Matthew N. Petrucci, Yasmine M. Kehnemouyi, et al.
Journal of Parkinson s Disease (2022) Vol. 12, Iss. 6, pp. 1979-1990
Open Access | Times Cited: 13
Usability Evaluation of Wearables and their Companion mHealth Applications – Attributes, Methods, and Frameworks: A Scoping Review (Preprint)
Preetha Moorthy, Lina Weinert, Christina Schüttler, et al.
JMIR mhealth and uhealth (2024) Vol. 12, pp. e52179-e52179
Open Access | Times Cited: 2
Exploratory Sensor-based Outcome Measures Show Divergent Slopes of Motor Sign Progression in Parkinson’s Disease Patients Treated with Prasinezumab
Kirsten I. Taylor, Florian Lipsmeier, Marzia Antonella Scelsi, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Time-resolved quantification of fine hand movements as a proxy for evaluating bradykinesia-induced motor dysfunction
Rachel K. Spooner, Bahne H. Bahners, Alfons Schnitzler, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson’s Disease Using Machine Learning
Rene Peter Bremm, Lukas Pavelka, María M. García, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2195-2195
Open Access | Times Cited: 2
Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson’s Disease Hand Tremor
Prashanna Khwaounjoo, Gurleen Singh, Sophie Grenfell, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4613-4613
Open Access | Times Cited: 12
A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
Jeroen Habets, Rachel K. Spooner, Varvara Mathiopoulou, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5238-5238
Open Access | Times Cited: 6
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