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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:

Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer
Carlos Pérez‐López, Albert Samà, Daniel Rodríguez-Martín, et al.
Artificial Intelligence in Medicine (2016) Vol. 67, pp. 47-56
Open Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Telemedicine for Hyperkinetic Movement Disorders
Ragini Srinivasan, Hilla Ben‐Pazi, Marieke Dekker, et al.
Tremor and Other Hyperkinetic Movements (2020) Vol. 10
Open Access | Times Cited: 22
Body-Worn Sensors for Parkinson’s disease: A qualitative approach with patients and healthcare professionals
Clara Virbel-Fleischman, Yann Rétory, Sébastien Hardy, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0265438-e0265438
Open Access | Times Cited: 13
A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia
Michael A. Lones, Jane Alty, Jeremy Cosgrove, et al.
Journal of Medical Systems (2017) Vol. 41, Iss. 11
Open Access | Times Cited: 23
Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson’s Disease
Marta Francisca Corrà, Arash Atrsaei, Ana Sardoreira, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 3974-3974
Open Access | Times Cited: 16
Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review
Ahnjili Zhuparris, Annika A. de Goede, Iris E. Yocarini, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5243-5243
Open Access | Times Cited: 6
Mobility monitoring using smart technologies for Parkinson’s disease in free-living environment
Heesook Son, Won Seok Park, Hyerang Kim
Collegian Journal of the Royal College of Nursing Australia (2017) Vol. 25, Iss. 5, pp. 549-560
Closed Access | Times Cited: 21
Point of view: Wearable systems for at-home monitoring of motor complications in Parkinson's disease should deliver clinically actionable information
Behnaz Ghoraani, James E. Galvin, Joohi Jimenez‐Shahed
Parkinsonism & Related Disorders (2021) Vol. 84, pp. 35-39
Open Access | Times Cited: 13
Deep Clinical Phenotyping of Parkinson’s Disease: Towards a New Era of Research and Clinical Care
Zhiheng Xu, Bo Shen, Yilin Tang, et al.
Phenomics (2022) Vol. 2, Iss. 5, pp. 349-361
Open Access | Times Cited: 8
Clinical utility of a personalized and long-term monitoring device for Parkinson's disease in a real clinical practice setting: An expert opinion survey on STAT-ON™
D. Santos García, Nuria López Ariztegui, Esther Cubo, et al.
Neurología (2020) Vol. 38, Iss. 5, pp. 326-333
Open Access | Times Cited: 12
Monipar: movement data collection tool to monitor motor symptoms in Parkinson’s disease using smartwatches and smartphones
Luis Sigcha, Carlos Polvorinos-Fernández, Nélson Costa, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 4
Digital biomarkers in Parkinson’s disease
Anastasia Bougea
Advances in clinical chemistry (2024), pp. 221-253
Closed Access | Times Cited: 1
Artificial Intelligence Contribution to eHealth Application
Joan Cabestany, Daniel Rodríguez-Martín, Carlos González Pérez, et al.
(2018), pp. 15-21
Closed Access | Times Cited: 11
Multicentre, randomised, single-blind, parallel group trial to compare the effectiveness of a Holter for Parkinson’s symptoms against other clinical monitoring methods: study protocol
Alejandro Rodríguez‐Molinero, Jorge Hernández‐Vara, Antonio Miñarro, et al.
BMJ Open (2021) Vol. 11, Iss. 7, pp. e045272-e045272
Open Access | Times Cited: 8
Dyskinesia Severity Estimation in Patients with Parkinson’s Disease Using Wearable Sensors and A Deep LSTM Network
Murtadha D. Hssayeni, Joohi Jimenez‐Shahed, Michelle A. Burack, et al.
(2020), pp. 6001-6004
Closed Access | Times Cited: 7
Patient-individual 3D-printing of drugs within a machine-learning-assisted closed-loop medication management – Design and first results of a feasibility study
Claudia Langebrake, Karl Gottfried, Adrin Dadkhah, et al.
Clinical eHealth (2023) Vol. 6, pp. 3-9
Open Access | Times Cited: 2
Posture Transitions Identification Based on a Triaxial Accelerometer and a Barometer Sensor
Daniel Rodríguez-Martín, Albert Samà, Carlos Pérez‐López, et al.
Lecture notes in computer science (2017), pp. 333-343
Closed Access | Times Cited: 5
Artificial intelligence in Parkinson’s disease—symptoms identification and monitoring
Lazzaro di Biase, Luigi Raiano, Maria Letizia Caminiti, et al.
Elsevier eBooks (2022), pp. 35-52
Closed Access | Times Cited: 4
Systematic review of wearables assessing medication effect on motor function and symptoms in Parkinson’s disease
Emma Packer, Héloïse Debelle, Harry E. Bailey, et al.
(2024)
Closed Access
Dispositivos comerciales para la monitorización de síntomas en la enfermedad de Parkinson: beneficios, limitaciones y tendencias
Daniel Rodríguez-Martín, Carlos Pérez‐López
Revista de Neurología (2024) Vol. 79, Iss. 08, pp. 229-229
Closed Access
Commercial symptom monitoring devices in Parkinson’s disease: benefits, limitations, and trends
Daniel Rodríguez-Martín, Carlos Pérez‐López
Frontiers in Neurology (2024) Vol. 15
Open Access
Wearables for diagnosis and predicting clinical milestones
Serene S. Paul, Martina Mancini
Elsevier eBooks (2024), pp. 149-166
Closed Access
Test, track, treat using wearable sensors for management of Parkinson’s disease: 12‑month prospective observational United Arab Emirates study using Parkinson’s Kinetograph (EmPark-PKG Study)
Vinod Metta, Mubasher A. Qamar, Karolina Popławska-Domaszewicz, et al.
Journal of Neural Transmission (2024)
Open Access
Assessment of plasma creatine kinase as biomarker for levodopa-induced dyskinesia in Parkinson’s disease
Anna Delamarre, François Tison, Qin Li, et al.
Journal of Neural Transmission (2019) Vol. 126, Iss. 6, pp. 789-793
Closed Access | Times Cited: 3
Clinical utility of a personalized and long-term monitoring device for Parkinson's disease in a real clinical practice setting: An expert opinion survey on STAT-ON™
Diego Santos‐García, Nuria López Ariztegui, Esther Cubo, et al.
Neurología (English Edition) (2023) Vol. 38, Iss. 5, pp. 326-333
Open Access | Times Cited: 1
Devices for remote continuous monitoring of people with Parkinson’s disease: a systematic review and cost-effectiveness analysis
Edward Cox, Ros Wade, Robert Hodgson, et al.
Health Technology Assessment (2023), pp. 1-187
Open Access | Times Cited: 1

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