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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:

Classification of Parkinson’s disease and its stages using machine learning
John Michael Templeton, Christian Poellabauer, Sandra Schneider
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Detection of Parkinson disease using multiclass machine learning approach
Saravanan Srinivasan, Parthasarathy Ramadass, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
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
Microbial signatures and therapeutic strategies in neurodegenerative diseases
Mlaak Rob, Mahmoud Yousef, Arun Prasath Lakshmanan, et al.
Biomedicine & Pharmacotherapy (2025) Vol. 184, pp. 117905-117905
Open Access | Times Cited: 1
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: 7
Hybrid Convtranslstm for Spatio-Temporal Classification: Identifying Early Parkinson's Disease from Gait Patterns
Muhammad Izzuddin Mahali, Cries Avian, Nur Achmad Sulistyo Putro, et al.
(2025)
Closed Access
Foundations of Multimodal Data Fusion
Srinivas Kumar Palvadi, G. Kadiravan
(2025), pp. 67-101
Closed Access
Comparative Analysis of Conventional Machine Learning and Deep Learning Techniques for Predicting Parkinson's Disease
Monika Sethi, Vidhu Baggan
(2025), pp. 49-65
Closed Access
Parkinson's Disease Prediction and Progression Based on Voice Analysis: A Literature Survey
Hisham H. Jasim, Noor D. Al-Shakarchy
Communications in computer and information science (2025), pp. 57-71
Closed Access
Modernizing the Staging of Parkinson’s Disease using Digital Health Technology (Preprint)
John Michael Templeton, Christian Poellabauer, Sandra Schneider, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63105-e63105
Open Access
Deep Learning-Based Multi-disease Detecting Model
A. Vasuki, Achal Kaushik, Muneesh Kumar
Communications in computer and information science (2025), pp. 134-144
Closed Access
Early detection of Parkinson’s disease using a multi area graph convolutional network
Hua Huo, Chen Zhang, Wei Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
AI-Driven Motor and Cognitive Decline Digital Assessment for Parkinson's Disease: A Systematic Review and Meta-Analysis
Sofia B. Dias, Ghada Alhussein, Beatriz da Costa Aguiar Alves, et al.
(2025)
Closed Access
Hybrid ladybug Hawk optimization-enabled deep learning for multimodal Parkinson’s disease classification using voice signals and hand-drawn images
Shanthini Shanmugam, A. Chandrasekar
Network Computation in Neural Systems (2025), pp. 1-43
Closed Access
Advanced optimization strategies for combining acoustic features and speech recognition error rates in multi-stage classification of Parkinson’s disease severity
S. I. M. M. Raton Mondol, Ryul Kim, Sangmin Lee
Biomedical Engineering Letters (2025) Vol. 15, Iss. 3, pp. 497-511
Closed Access
Risk-based evaluation of machine learning-based classification methods used for medical devices
Martin Haimerl, Christoph Reich
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Risk factors associated with severe progression of Parkinson’s disease: random forest and logistic regression models
Jie Tan, Elbert S. Huang, Hao Yang, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
Exploring Federated Learning for Speech-based Parkinson’s Disease Detection
Athanasios Sarlas, Alexandros Kalafatelis, Georgios Alexandridis, et al.
Proceedings of the 17th International Conference on Availability, Reliability and Security (2023), pp. 1-6
Open Access | Times Cited: 4
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study
Maria Chiara Malaguti, Lorenzo Gios, Bruno Giometto, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0300127-e0300127
Open Access | Times Cited: 1
Classification of Hand-Movement Disabilities in Parkinson’s Disease Using a Motion-Capture Device and Machine Learning
Jungpil Shin, Masahiro Matsumoto, Md. Maniruzzaman, et al.
IEEE Access (2024) Vol. 12, pp. 52466-52479
Open Access | Times Cited: 1
Combining convolution neural networks with long‐short term memory layers to predict Parkinson's disease progression
Maria Frasca, Davide La Torre, Gabriella Pravettoni, et al.
International Transactions in Operational Research (2024)
Closed Access | Times Cited: 1
An Ad-Hoc Networked Measurement Framework to Real-Time Monitoring of Neurodegenerative Diseases
Chiara Carissimo, G. Cerro, Tommaso Di Libero, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Development of Clinical Decision Support System Using Genetically Optimized Artificial Neural Network
Anamika Sharma, H. S. Hota
Transactions on computer systems and networks (2024), pp. 261-288
Closed Access | Times Cited: 1
Understanding Parkinson's: The microbiome and machine learning approach
David Rojas-Velázquez, Sarah Kidwai, Ting Liu, et al.
Maturitas (2024) Vol. 193, pp. 108185-108185
Closed Access | Times Cited: 1
An Effective Machine Learning Techniques to Detect Parkinson's Disease
Narisetty SrinivasaRao, Daram Anusha, Uravakonda Mayuri, et al.
(2023), pp. 564-568
Closed Access | Times Cited: 3
Hybrid Machine Learning Framework for Multistage Parkinson’s Disease Classification Using Acoustic Features of Sustained Korean Vowels
S. I. M. M. Raton Mondol, Ryul Kim, Sangmin Lee
Bioengineering (2023) Vol. 10, Iss. 8, pp. 984-984
Open Access | Times Cited: 3
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