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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:

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

Showing 1-25 of 554 citing articles:

Parkinson disease
Werner Poewe, Klaus Seppi, Caroline M. Tanner, et al.
Nature Reviews Disease Primers (2017) Vol. 3, Iss. 1
Closed Access | Times Cited: 3800
Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home
Jamie Adams, Karthik Dinesh, Mulin Xiong, et al.
Digital Biomarkers (2017) Vol. 1, Iss. 1, pp. 52-63
Open Access | Times Cited: 3006
Challenges in the diagnosis of Parkinson's disease
Eduardo Tolosa, Alícia Garrido, Sonja W. Scholz, et al.
The Lancet Neurology (2021) Vol. 20, Iss. 5, pp. 385-397
Open Access | Times Cited: 1014
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Bahar Farahani, Farshad Firouzi, Victor Chang, et al.
Future Generation Computer Systems (2017) Vol. 78, pp. 659-676
Open Access | Times Cited: 890
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
Wearable sensors objectively measure gait parameters in Parkinson’s disease
Johannes C. M. Schlachetzki, Jens Barth, Franz Marxreiter, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0183989-e0183989
Open Access | Times Cited: 296
Making sense of big data in health research: Towards an EU action plan
Charles Auffray, Rudi Balling, Inês Barroso, et al.
Genome Medicine (2016) Vol. 8, Iss. 1
Open Access | Times Cited: 268
A roadmap for implementation of patient‐centered digital outcome measures in Parkinson's disease obtained using mobile health technologies
Alberto J. Espay, Jeffrey M. Hausdorff, Álvaro Sánchez‐Ferro, et al.
Movement Disorders (2019) Vol. 34, Iss. 5, pp. 657-663
Open Access | Times Cited: 263
Cueing for people with Parkinson's disease with freezing of gait: A narrative review of the state-of-the-art and novel perspectives
Pieter Ginis, Evelien Nackaerts, Alice Nieuwboer, et al.
Annals of Physical and Rehabilitation Medicine (2017) Vol. 61, Iss. 6, pp. 407-413
Open Access | Times Cited: 247
Progress towards therapies for disease modification in Parkinson's disease
Nirosen Vijiaratnam, Tanya Simuni, Oliver Bandmann, et al.
The Lancet Neurology (2021) Vol. 20, Iss. 7, pp. 559-572
Open Access | Times Cited: 243
IMU-Based Classification of Parkinson's Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection
Carlotta Caramia, Diego Torricelli, Maurizio Schmid, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 22, Iss. 6, pp. 1765-1774
Open Access | Times Cited: 181
Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: a mixed-methods systematic review
Dongni Buvarp, Kristina Malmgren, Margit Alt Murphy
Journal of Neurology (2018) Vol. 265, Iss. 8, pp. 1740-1752
Open Access | Times Cited: 174
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
Machine Learning‐Enabled Smart Sensor Systems
Nam Ha, Kai Xu, Guanghui Ren, et al.
Advanced Intelligent Systems (2020) Vol. 2, Iss. 9
Open 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
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
New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease
Rohan Gupta, Smita Kumari, Anusha Senapati, et al.
Ageing Research Reviews (2023) Vol. 90, pp. 102013-102013
Closed Access | Times Cited: 54
Overview on wearable sensors for the management of Parkinson’s disease
Caroline Moreau, Tiphaine Rouaud, David Grabli, et al.
npj Parkinson s Disease (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 42
Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases
Artur Chudzik, Albert Śledzianowski, Andrzej W. Przybyszewski
Sensors (2024) Vol. 24, Iss. 5, pp. 1572-1572
Open Access | Times Cited: 27
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
Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case–Control Study
Lianne Koinis, Vinuja Fernando, R. Dineth Fonseka, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 581-581
Open Access | Times Cited: 2
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
Targeted Therapies for Parkinson's Disease: From Genetics to the Clinic
S. Pablo Sardi, Jesse M. Cedarbaum, Patrik Brundin
Movement Disorders (2018) Vol. 33, Iss. 5, pp. 684-696
Open Access | Times Cited: 156
A clinical view on the development of technology-based tools in managing Parkinson's disease
Walter Maetzler, Jochen Klucken, Malcolm Horne
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1263-1271
Closed Access | Times Cited: 153
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