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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:

A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
Open Access | Times Cited: 15

Showing 15 citing articles:

A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis
Shriniket Dixit, Khitij Bohre, Yashbir Singh, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 783-783
Open Access | Times Cited: 47
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
An Overview of Various Datasets Used in the Early Detection of Parkinson’s Disease
Isha Jaiswal, Bramah Hazela, Shikha Singh, et al.
(2025), pp. 191-205
Closed Access
Enhanced real-time Parkinson’s disease monitoring and severity prediction using a multi-faceted deep learning approach
Marreddy Naga Sabari, Deepak Ch
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
Machine learning for cognitive treatment planning in patients with neurodisorder and trauma injuries
Ramandeep Sandhu, Deepika Ghai, Suman Lata Tripathi, et al.
Elsevier eBooks (2024), pp. 165-193
Closed Access | Times Cited: 2
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Sheerin Zadoo, Yashwant Singh, Pradeep Kumar Singh
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Balance assessment in selected stages of Parkinson’s disease using trend change analysis
Piotr Wodarski, Jacek Jurkojć, Justyna Michalska, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 5
Deep Learning Enhanced Internet of Medical Things to Analyze Brain Computed Tomography Images of Stroke Patients
Батырхан Омаров, Azhar Tursynova, Meruert Uzak
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 4
Early Diagnosis of Parkinson’s Disease Using Machine Learning
K Karthikaa, J Keerthikumar, V. Selvakumar, et al.
(2024), pp. 1672-1677
Closed Access | Times Cited: 1
Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT
Aleksej Kucerenko, Thomas Buddenkotte, Ivayla Apostolova, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2024)
Open Access | Times Cited: 1
Unveiling Vocal Biomarkers: Investigating Parkinson’s Disease Detection Through PCA and Optimized MLP Models on Voice Datasets
Vijaya Bendalam, Chappa Ramesh
Algorithms for intelligent systems (2024), pp. 329-345
Closed Access
A pilot study for speech assessment to detect the severity of Parkinson’s disease: An ensemble approach
Guilherme Camargo de Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109565-109565
Closed Access
Comparative analysis of machine learning techniques for Parkinson’s detection: A review
Ketna Khanna, Sapna Gambhir, Mohit Gambhir
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 45205-45231
Closed Access | Times Cited: 1
Balance Assessment in Selected Stages of Parkinson’s Disease Using Stock Exchange Indices
Piotr Wodarski, Jacek Jurkojć, Justyna Michalska, et al.
Research Square (Research Square) (2023)
Open Access
Machine Learning na biomedicina: breve revisão bibliográfica
Michaela Shiotani Marcondes, Luan Gonçalves De Lima, Mirielle de Cássia Gonzaga, et al.
Brazilian Journal of Health Review (2023) Vol. 6, Iss. 5, pp. 21180-21192
Open Access
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