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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:

Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease
Hanrui Zhang, Kaiwen Deng, Hongyang Li, et al.
Patterns (2020) Vol. 1, Iss. 3, pp. 100042-100042
Open Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

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: 16
Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 16
Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson’s Disease Hand Tremor
Prashanna Khwaounjoo, Gurleen Singh, Sophie Grenfell, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4613-4613
Open Access | Times Cited: 12
Matching science to reality: how to deploy a participant-driven digital brain health platform
Ileana De Anda‐Duran, Phillip H Hwang, Zachary Popp, et al.
Frontiers in Dementia (2023) Vol. 2
Open Access | Times Cited: 6
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 Ensemble for the Parkinson’s disease using protein sequences
Priya Arora, Ashutosh Mishra, Avleen Malhi
Multimedia Tools and Applications (2022) Vol. 81, Iss. 22, pp. 32215-32242
Closed Access | Times Cited: 10
Digital biomarkers in Parkinson’s disease
Anastasia Bougea
Advances in clinical chemistry (2024), pp. 221-253
Closed Access | Times Cited: 1
Early detection of Parkinson’s disease using deep NeuroEnhanceNet with smartphone walking recordings
Tongyue He, Junxin Chen, Xu Xu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 3603-3614
Open Access | Times Cited: 1
Convolutional neural network based detection of early stage Parkinson’s disease using the six minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem
Andrea Parziale, Deborah Mascalzoni
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 7
Convolutional Neural Network-Based Low-Powered Wearable Smart Device for Gait Abnormality Detection
Sanjeev Shakya, Attaphongse Taparugssanagorn, Chaklam Silpasuwanchai
IoT (2023) Vol. 4, Iss. 2, pp. 57-77
Open Access | Times Cited: 3
Predicting early traumatic brain injury mortality with 1D convolutional neural networks and conventional machine learning techniques
Kellen Alvarenga Adriely Guimaraes, Robson Luís Oliveira de Amorim, M. G. F. Costa, et al.
Informatics in Medicine Unlocked (2022) Vol. 31, pp. 100984-100984
Open Access | Times Cited: 5
Application of Machine Vision in Classifying Gait Frailty Among Older Adults
Yixin Liu, Xiaohai He, Renjie Wang, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 7
Fitts’ Law Based Performance Metrics to Quantify Tremor in Individuals With Essential Tremor
Jeonghee Kim, Thomas Wichmann, Omer T. Inan, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 5, pp. 2169-2179
Closed Access | Times Cited: 7
Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study
Shubham Parab, Jerry Boster, Peter Washington
JMIR Formative Research (2023) Vol. 7, pp. e49898-e49898
Open Access | Times Cited: 2
Multilevel Modeling of Joint Damage in Rheumatoid Arthritis
Hongyang Li, Yuanfang Guan
Advanced Intelligent Systems (2022) Vol. 4, Iss. 11
Open Access | Times Cited: 3
E-Health & Innovation to Overcome Barriers in Neuromuscular Diseases. Report from the 3rd eNMD Congress: Pisa, Italy, 29–30 October 2021
Erika Schirinzi, Mario A. Bochicchio, Hanns Lochmüller, et al.
Journal of Neuromuscular Diseases (2024), pp. 1-9
Open Access
Artificial intelligence in diagnosis of neurodegenerative disorders (literature review)
Е. В. Петрова, E. V. Suchkova, Naim Haddad, et al.
Vestnik nevrologii psihiatrii i nejrohirurgii (Bulletin of Neurology Psychiatry and Neurosurgery) (2024), Iss. 4, pp. 502-510
Closed Access
Convolutional neural network-based detection of early-stage Parkinson’s disease using the six-minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Research Square (Research Square) (2024)
Open Access
Observing temporary changes in gait using a mobile phone
Nikolay Dorofeev, Ruslan Sharapov, Maxim S. Goryachev, et al.
E3S Web of Conferences (2024) Vol. 541, pp. 03007-03007
Open Access
Rational Design of Drugs for Neurodegenerative Disorders
Priyanka Kamaria
(2024), pp. 363-387
Closed Access
Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones
Alireza Sameh, Mehrdad Rostami, Mourad Oussalah, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access
Detecting Parkinson disease features with walking activity data
Cícero Ferreira Fernandes Costa Filho, Lucas Souza Barreto, Juliana Alves de Oliveira, et al.
(2023), pp. 47-47
Closed Access | Times Cited: 1
Digital biomarkers in movement disorders
Daniele Urso, Daniel J. van Wamelen, Dhaval Trivedi, et al.
International review of movement disorders (2023), pp. 49-70
Closed Access | Times Cited: 1
Parkinson’s Disease Recognition using a Gamified Website: Machine Learning Feasibility Study
Shubham Parab, Jerry Boster, Peter Washington
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

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