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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:

Automatic and Early Detection of Parkinson’s Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method
Khaled M. Alalayah, Ebrahim Mohammed Senan, Hany F. Atlam, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1924-1924
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

MapReduce Based Big Data Framework Using Associative Kruskal Poly Kernel Classifier for Diabetic Disease Prediction
R. Ramani, S. Edwin Raja, D. Dhinakaran, et al.
MethodsX (2025) Vol. 14, pp. 103210-103210
Open Access | Times Cited: 2
Ensemble Machine Learning Approach for Parkinson’s Disease Detection Using Speech Signals
Syed Nisar Hussain Bukhari, Kingsley A. Ogudo
Mathematics (2024) Vol. 12, Iss. 10, pp. 1575-1575
Open Access | Times Cited: 11
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
Investigation of Scalograms with a Deep Feature Fusion Approach for Detection of Parkinson’s Disease
İsmail Cantürk, Osman Günay
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1198-1209
Open Access | Times Cited: 10
Synergistic Feature Selection and Distributed Classification Framework for High-Dimensional Medical Data Analysis
D. Dhinakaran, L. Srinivasan, S. Edwin Raja, et al.
MethodsX (2025) Vol. 14, pp. 103219-103219
Open Access | Times Cited: 1
Hybrid Techniques of Facial Feature Image Analysis for Early Detection of Autism Spectrum Disorder Based on Combined CNN Features
Bakri Awaji, Ebrahim Mohammed Senan, Fekry Olayah, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2948-2948
Open Access | Times Cited: 16
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Samiappan Dhanalakshmi, Sudeshna Das, Ramalingam Senthil
Health and Technology (2024) Vol. 14, Iss. 2, pp. 393-406
Closed Access | Times Cited: 5
Pre-asthma: a useful concept for prevention and disease-modification? A EUFOREA paper. Part 1—allergic asthma
Glenis Scadding, Marinda McDonald, Vibeke Backer, et al.
Frontiers in Allergy (2024) Vol. 4
Open Access | Times Cited: 5
Feature Selection based on Mahalanobis Distance for Early Parkinson Disease Classification
Mustafa Noaman Kadhim, Dhiah Al‐Shammary, Ahmed M. Mahdi, et al.
Computer Methods and Programs in Biomedicine Update (2025), pp. 100177-100177
Open Access
Transforming Neurodegenerative Disorder Care with Machine Learning: Strategies and Applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
(2025)
Closed Access
Deep Learning-Based Diagnostic Model for Parkinson's Disease Using Handwritten Spiral and Wave Images
K. Aditya Shastry
Current Medical Science (2025)
Closed Access
Fine-Tuned Machine Learning Classifiers for Diagnosing Parkinson’s Disease Using Vocal Characteristics: A Comparative Analysis
Mehmet Meral, Ferdi Özbilgin, Fatih Durmuş
Diagnostics (2025) Vol. 15, Iss. 5, pp. 645-645
Open Access
Exploring Deep Learning Applications in Neurodegenerative Diseases: A State-of-the-Art Review
André Luíz Quagliatto Santos, Claudia I. González, Mario T. García
Lecture notes in computer science (2025), pp. 97-108
Closed Access
JLeNeT: Jaccard LeNet for Parkinson’s disease detection and severity level classification using voice signal in IoT environment
S. Pragadeeswaran, S. Kannimuthu
Network Computation in Neural Systems (2025), pp. 1-30
Closed Access
Transforming neurodegenerative disorder care with machine learning: Strategies and applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
Neuroscience (2025)
Closed Access
Two-phase hybrid explainable machine learning model in the early diagnosis of motor and non-motor symptoms of Parkinson’s disease
Nikita Aggarwal, Barjinder Singh Saini, Savita Gupta
Neurocomputing (2025), pp. 130004-130004
Closed Access
Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques
Ifrah Naeem, Allah Ditta, Tehseen Mazhar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimized Disease Prediction in Healthcare Systems Using HDBN and CAEN Framework
G. Prabaharan, S. M. Udhaya Sankar, V. Anusuya, et al.
MethodsX (2025), pp. 103338-103338
Open Access
Early Diagnosis of Parkinson’s Disease Through Machine Learning and Voice Signals
Yojhansen O. Varela-Arellano, Manuel A. Soto-Murillo, Jorge I. Galván-Tejada, et al.
IFMBE proceedings (2025), pp. 271-286
Closed Access
Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices
Weidong Xu, Jingke He, Weihua Li, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7874-7874
Open Access | Times Cited: 9
A New Wrist-Worn Tool Supporting the Diagnosis of Parkinsonian Motor Syndromes
Luigi Battista, Antonietta Romaniello
Sensors (2024) Vol. 24, Iss. 6, pp. 1965-1965
Open Access | Times Cited: 3
A novel voice classification based on Gower distance for Parkinson disease detection
Mustafa Noaman Kadhim, Dhiah Al‐Shammary, Fahim Sufi
International Journal of Medical Informatics (2024) Vol. 191, pp. 105583-105583
Open Access | Times Cited: 3
Optimizing Support Vector Machine Performance for Parkinson's Disease Diagnosis Using GridSearchCV and PCA-Based Feature Extraction
Jumanto Jumanto, Rofik Rofik, Endang Sugiharti, et al.
Journal of Information Systems Engineering and Business Intelligence (2024) Vol. 10, Iss. 1, pp. 38-50
Open Access | Times Cited: 2
Enhancing author assessment: an advanced modified recursive elimination technique (MRET) for ranking key parameters and conducting statistical analysis of top-ranked parameter
Ghulam Mustafa, Abid Rauf, Muhammad Tanvir Afzal
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 2
MRET: Modified Recursive Elimination Technique for ranking author assessment parameters
Ghulam Mustafa, Abid Rauf, Muhammad Tanvir Afzal
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0303105-e0303105
Open Access | Times Cited: 2
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