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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:

Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study
Siddharth Arora, Vinayak Venkataraman, Andong Zhan, et al.
Parkinsonism & Related Disorders (2015) Vol. 21, Iss. 6, pp. 650-653
Open Access | Times Cited: 351

Showing 1-25 of 351 citing articles:

Technology in Parkinson's disease: Challenges and opportunities
Alberto J. Espay, Paolo Bonato, Fatta B. Nahab, et al.
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1272-1282
Open Access | Times Cited: 554
How Machine Learning Will Transform Biomedicine
Jeremy Goecks, Vahid Jalili, Laura M. Heiser, et al.
Cell (2020) Vol. 181, Iss. 1, pp. 92-101
Open Access | Times Cited: 412
Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity
Andong Zhan, Srihari Mohan, Christopher G. Tarolli, et al.
JAMA Neurology (2018) Vol. 75, Iss. 7, pp. 876-876
Open Access | Times Cited: 347
An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things
Cristian Pasluosta, Heiko Gaßner, Jürgen Winkler, et al.
IEEE Journal of Biomedical and Health Informatics (2015) Vol. 19, Iss. 6, pp. 1873-1881
Closed Access | Times Cited: 308
The need to approximate the use-case in clinical machine learning
Sohrab Saeb, Luca Lonini, Arun Jayaraman, et al.
GigaScience (2017) Vol. 6, Iss. 5
Open Access | Times Cited: 234
Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial
Florian Lipsmeier, Kirsten I. Taylor, Timothy Kilchenmann, et al.
Movement Disorders (2018) Vol. 33, Iss. 8, pp. 1287-1297
Open Access | Times Cited: 229
Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures
Ken Kubota, Jason Chen, Max A. Little
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1314-1326
Open Access | Times Cited: 198
Speech disorders in Parkinson’s disease: early diagnostics and effects of medication and brain stimulation
Luboš Brabenec, Jiří Mekyska, Zoltán Galáž, et al.
Journal of Neural Transmission (2017) Vol. 124, Iss. 3, pp. 303-334
Closed Access | Times Cited: 192
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network
Liaqat Ali, Ce Zhu, Zhonghao Zhang, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2019) Vol. 7, pp. 1-10
Open Access | Times Cited: 177
Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models
Luca Lonini, Andrew Dai, Nicholas Shawen, et al.
npj Digital Medicine (2018) Vol. 1, Iss. 1
Open Access | Times Cited: 174
Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review
Minja Belić, Vladislava Bobić, Milica Badža Atanasijević, et al.
Clinical Neurology and Neurosurgery (2019) Vol. 184, pp. 105442-105442
Closed Access | Times Cited: 167
Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson’s disease
Rob Powers, Maryam Etezadi‐Amoli, Edith M. Arnold, et al.
Science Translational Medicine (2021) Vol. 13, Iss. 579
Open Access | Times Cited: 161
Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 146
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects
Laureano Moro-Velázquez, Jorge A. Gómez-García, Julián D. Arias-Londoño, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102418-102418
Closed Access | Times Cited: 139
Remote smartphone monitoring of Parkinson’s disease and individual response to therapy
Larsson Omberg, Elias Chaibub Neto, Thanneer M. Perumal, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 4, pp. 480-487
Open Access | Times Cited: 114
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms
Anirudha S. Chandrabhatla, I. Jonathan Pomeraniec, Alexander Ksendzovsky
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 78
Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease
Florian Lipsmeier, Kirsten I. Taylor, Ronald B. Postuma, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 71
Recommendations to advance digital health equity: a systematic review of qualitative studies
Sarah Wilson, Clare Tolley, Ríona Mc Ardle, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 19
The Use of Smartphones for Health Research
E. Ray Dorsey, Yu‐Feng Yvonne Chan, Michael V. McConnell, et al.
Academic Medicine (2016) Vol. 92, Iss. 2, pp. 157-160
Open Access | Times Cited: 156
Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease
Ana Lígia Silva de Lima, Tim Hahn, Luc J. W. Evers, et al.
PLoS ONE (2017) Vol. 12, Iss. 12, pp. e0189161-e0189161
Open Access | Times Cited: 156
The prediagnostic phase of Parkinson's disease
Alastair Noyce, Andrew J. Lees, Anette Schrag
Journal of Neurology Neurosurgery & Psychiatry (2016) Vol. 87, Iss. 8, pp. 871-878
Open Access | Times Cited: 154
Physical therapy and occupational therapy in Parkinson's disease
Danique L. M. Radder, Ingrid H.W.M. Sturkenboom, Marlies van Nimwegen, et al.
International Journal of Neuroscience (2016) Vol. 127, Iss. 10, pp. 930-943
Open Access | Times Cited: 153
Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection
Liaqat Ali, Ce Zhu, Mingyi Zhou, et al.
Expert Systems with Applications (2019) Vol. 137, pp. 22-28
Closed Access | Times Cited: 136
A survey on computer-assisted Parkinson's Disease diagnosis
Clayton R. Pereira, Danilo Rodrigues Pereira, Silke Anna Theresa Weber, et al.
Artificial Intelligence in Medicine (2018) Vol. 95, pp. 48-63
Closed Access | Times Cited: 132
The First Frontier: Digital Biomarkers for Neurodegenerative Disorders
E. Ray Dorsey, Spyros Papapetropoulos, Mulin Xiong, et al.
Digital Biomarkers (2017) Vol. 1, Iss. 1, pp. 6-13
Open Access | Times Cited: 131
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