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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 Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning
Anat Mirelman, Mor Ben Or Frank, Michal L. Melamed, et al.
Movement Disorders (2021) Vol. 36, Iss. 9, pp. 2144-2155
Closed Access | Times Cited: 59

Showing 1-25 of 59 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
Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
Κωνσταντίνα-Μαρία Γιαννακοπούλου, Ioanna Roussaki, Konstantinos Demestichas
Sensors (2022) Vol. 22, Iss. 5, pp. 1799-1799
Open Access | Times Cited: 69
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 38
Artificial intelligence in Parkinson's disease: Early detection and diagnostic advancements
Aananya Reddy, Ruhananhad P. Reddy, Aryan Kia Roghani, et al.
Ageing Research Reviews (2024) Vol. 99, pp. 102410-102410
Closed Access | Times Cited: 10
Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia
Dante Trabassi, Stefano Filippo Castiglia, Fabiano Bini, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3613-3613
Open Access | Times Cited: 8
Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study over 12 months
Jamie L. Adams, Tairmae Kangarloo, Yishu Gong, et al.
npj Parkinson s Disease (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 8
PD-ResNet for Classification of Parkinson’s Disease From Gait
Xiaoli Yang, Qinyong Ye, Guofa Cai, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-11
Open Access | Times Cited: 31
Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants
Manu Airaksinen, Anastasia Gallen, Anna Kivi, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 28
Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review
Lazzaro di Biase, Pasquale Maria Pecoraro, Giovanni Pecoraro, et al.
Journal of Neurology (2024) Vol. 271, Iss. 10, pp. 6452-6470
Closed Access | Times Cited: 5
Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson’s Disease
Rana M. Khalil, Lisa Shulman, Ann L. Gruber‐Baldini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4983-4983
Open Access | Times Cited: 4
Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning
Navita, Pooja Mittal, Yogesh Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao, et al.
Neurocomputing (2025), pp. 129533-129533
Closed Access
IMU-Based Monitoring for Assistive Diagnosis and Management of IoHT: A Review
Fan Bo, Mustafa Ozkan Yerebakan, Yanning Dai, et al.
Healthcare (2022) Vol. 10, Iss. 7, pp. 1210-1210
Open Access | Times Cited: 21
Specific Distribution of Digital Gait Biomarkers in Parkinson’s Disease Using Body-Worn Sensors and Machine Learning
Guoen Cai, Weikun Shi, Ying-Qing Wang, et al.
The Journals of Gerontology Series A (2023) Vol. 78, Iss. 8, pp. 1348-1354
Closed Access | Times Cited: 11
Objective measurement versus clinician-based assessment for Parkinson’s disease
Andrea Guerra, Valentina D’Onofrio, Florinda Ferreri, et al.
Expert Review of Neurotherapeutics (2023) Vol. 23, Iss. 8, pp. 689-702
Closed Access | Times Cited: 11
Exercise and gait/movement analyses in treatment and diagnosis of Parkinson’s Disease
Johannes Burtscher, Eduardo Martin Moraud, Davide Malatesta, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102147-102147
Open Access | Times Cited: 10
Wearable Inertial Gait Algorithms: Impact of Wear Location and Environment in Healthy and Parkinson’s Populations
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6476-6476
Open Access | Times Cited: 23
Disease Progression Stages and Burden in Patients with Duchenne Muscular Dystrophy Using Administrative Claims Supplemented by Electronic Medical Records
Joel Iff, Yi Zhong, Deepshekhar Gupta, et al.
Advances in Therapy (2022) Vol. 39, Iss. 6, pp. 2906-2919
Closed Access | Times Cited: 15
Deeply Trained Real-Time Body Sensor Networks for Analyzing the Symptoms of Parkinson’s Disease
Rajasoundaran Soundararajan, A. V. Prabu, Sidheswar Routray, et al.
IEEE Access (2022) Vol. 10, pp. 63403-63421
Open Access | Times Cited: 15
Current Perspectives on the Assessment and Management of Gait Disorders in Parkinson’s Disease
Matthew D. Smith, Danielle Pendry-Brazier, Emily J. Henderson
Neuropsychiatric Disease and Treatment (2021) Vol. Volume 17, pp. 2965-2985
Open Access | Times Cited: 18
Deep learning-based detection of affected body parts in Parkinson’s disease and freezing of gait using time-series imaging
Hwayoung Park, Sungtae Shin, Changhong Youm, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review
Pedro Lobo, Pedro Morais, Patrick Murray, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 7973-7973
Open Access | Times Cited: 2
Classification of Parkinson's disease stages with a two-stage deep neural network
José Francisco Pedrero-Sánchez, Juan Manuel Belda Lois, Pilar Serra‐Añó, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 6
Classification of healthy, Alzheimer and Parkinson populations with a multi-branch neural network
José Francisco Pedrero-Sánchez, Juan Manuel Belda Lois, Pilar Serra‐Añó, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103617-103617
Open Access | Times Cited: 10
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