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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:

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study
Luc J. W. Evers, Yordan P. Raykov, Jesse H. Krijthe, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 10, pp. e19068-e19068
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

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: 76
Delivering Multidisciplinary Rehabilitation Care in Parkinson’s Disease: An International Consensus Statement
Jennifer G. Goldman, Daniele Volpe, Terry D. Ellis, et al.
Journal of Parkinson s Disease (2024) Vol. 14, Iss. 1, pp. 135-166
Open Access | Times Cited: 28
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
Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease
Holger Fröhlich, Noémi Bontridder, Dijana Petrovska-Delacréta, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 42
A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM
Daniel Rodríguez-Martín, Joan Cabestany, Carlos Pérez‐López, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 34
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
Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach
Luc J. W. Evers, Yordan P. Raykov, Tom Heskes, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 366-366
Open Access
A novel machine learning based framework for developing composite digital biomarkers of disease progression
Song Zhai, Andy Liaw, Judong Shen, et al.
Frontiers in Digital Health (2025) Vol. 6
Open Access
Quantifying arm swing in Parkinson’s disease: a method accounting for arm activities during free-living gait
Erik Post, Twan van Laarhoven, Yordan P. Raykov, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
A Long Way to Go: Patient Perspectives on Digital Health for Parkinson’s Disease
Sara Riggare, Jon Stamford, Maria Hägglund
Journal of Parkinson s Disease (2021) Vol. 11, Iss. s1, pp. S5-S10
Open Access | Times Cited: 27
Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson’s Disease Using a Wrist-Worn Accelerometer
Jeroen Habets, Christian Herff, Pieter Kubben, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7876-7876
Open Access | Times Cited: 26
Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning
Rana Zia Ur Rehman, Yu Guan, Jian Qing Shi, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 18
A Sensor-Based Perspective in Early-Stage Parkinson’s Disease: Current State and the Need for Machine Learning Processes
Marios G. Krokidis, Georgios Ν. Dimitrakopoulos, Aristidis G. Vrahatis, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 409-409
Open Access | Times Cited: 16
The Diverse Gait Dataset: Gait Segmentation Using Inertial Sensors for Pedestrian Localization with Different Genders, Heights and Walking Speeds
Chao Huang, Fuping Zhang, Zhengyi Xu, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1678-1678
Open Access | Times Cited: 16
Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review
Christine C. Guo, Patrizia A. Chiesa, Carl de Moor, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 11, pp. e37683-e37683
Open Access | Times Cited: 16
Enhancing remote monitoring and classification of motor state in Parkinson’s disease using Wearable Technology and Machine Learning
Chiara Carissimo, G. Cerro, Héloïse Debelle, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023)
Open Access | Times Cited: 10
Experiences from the implementation of physical therapy via telehealth for individuals with Parkinson disease during the COVID-19 pandemic
Cristina Colón-Semenza, Jenna A. Zajac, Ariel Schwartz, et al.
Disability and Rehabilitation (2023) Vol. 46, Iss. 8, pp. 1593-1601
Open Access | Times Cited: 9
Determinants of Mental Health and Practice Behaviors of General Practitioners During COVID-19 Pandemic in Bali, Indonesia: A Cross-sectional Study
Firman Parulian Sitanggang, Gede Benny Setia Wirawan, I Made Ady Wirawan, et al.
Risk Management and Healthcare Policy (2021) Vol. Volume 14, pp. 2055-2064
Open Access | Times Cited: 22
Remote Patient Monitoring for Neuropsychiatric Disorders: A Scoping Review of Current Trends and Future Perspectives from Recent Publications and Upcoming Clinical Trials
Tetsuo Sakamaki, Yoshihiko Furusawa, Ayako Hayashi, et al.
Telemedicine Journal and e-Health (2022) Vol. 28, Iss. 9, pp. 1235-1250
Open Access | Times Cited: 15
A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust
Narayan Schütz, Samuel E. J. Knobel, Angela Botros, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 15
Daily-Living Freezing of Gait as Quantified Using Wearables in People With Parkinson Disease: Comparison With Self-Report and Provocation Tests
Diana Denk, Talia Herman, Demi Zoetewei, et al.
Physical Therapy (2022) Vol. 102, Iss. 12
Open Access | Times Cited: 14
An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson’s Disease
Luis R. Peraza, Kirsi M. Kinnunen, Róisín McNaney, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8286-8286
Open Access | Times Cited: 19
Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
Tuhin Virmani, Mitesh Lotia, Aliyah Glover, et al.
Journal of Clinical and Translational Science (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 13
Applications of deep learning methods in digital biomarker research using noninvasive sensing data
Hoyeon Jeong, Yong Whi Jeong, Yeonjae Park, et al.
Digital Health (2022) Vol. 8, pp. 205520762211366-205520762211366
Open Access | Times Cited: 11
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
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