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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:

Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques
Majid Aljalal, Saeed A. Aldosari, Marta Molinas, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

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
An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network
Siuly Siuly, Smith K. Khare, Enamul Kabir, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108462-108462
Open Access | Times Cited: 14
Review of EEG-Based Biometrics in 5G-IoT: Current Trends and Future Prospects
Taha Beyrouthy, Nour Mostafa, Ahmed Roshdy, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 534-534
Open Access | Times Cited: 11
Development of Neurodegenerative Disease Diagnosis and Monitoring from Traditional to Digital Biomarkers
Jaeyoon Song, E. Cho, H. -J. Lee, et al.
Biosensors (2025) Vol. 15, Iss. 2, pp. 102-102
Open Access | Times Cited: 1
Classification of Parkinson’s disease EEG signals using 2D-MDAGTS model and multi-scale fuzzy entropy
J. H. Li, Xun Li, Yuefeng Mao, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105872-105872
Closed Access | Times Cited: 7
MSleepNet: A Semi-Supervision-Based Multiview Hybrid Neural Network for Simultaneous Sleep Arousal and Sleep Stage Detection
Hongmei Liu, Haibo Zhang, Baozhu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 6
Mild cognitive impairment detection with optimally selected EEG channels based on variational mode decomposition and supervised machine learning
Majid Aljalal, Marta Molinas, Saeed A. Aldosari, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105462-105462
Closed Access | Times Cited: 15
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson’s Disease
Maksim Belyaev, M. Murugappan, Andrei Velichko, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8609-8609
Open Access | Times Cited: 14
Selecting EEG channels and features using multi-objective optimization for accurate MCI detection: validation using leave-one-subject-out strategy
Majid Aljalal, Saeed A. Aldosari, Marta Molinas, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
EEG-based clinical decision support system for Alzheimer's disorders diagnosis using EMD and deep learning techniques
Khalil AlSharabi, Yasser Bin Salamah, Majid Aljalal, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 12
Fractal dimensions and machine learning for detection of Parkinson’s disease in resting-state electroencephalography
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8257-8280
Open Access | Times Cited: 4
A novel approach for Parkinson’s disease detection using Vold-Kalman order filtering and machine learning algorithms
Fatma Lati̇foğlu, Sultan Penekli, Fırat ORHANBULUCU, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9297-9311
Open Access | Times Cited: 4
Houston, We Have AI Problem! Quality Issues with Neuroimaging‐Based Artificial Intelligence in Parkinson's Disease: A Systematic Review
Verena Dzialas, Elena Doering, Helena Eich, et al.
Movement Disorders (2024)
Open Access | Times Cited: 4
Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms
Divya Sasidharan, V. Sowmya, E. A. Gopalakrishnan
Physical and Engineering Sciences in Medicine (2025)
Closed Access
Artificial Intelligence-Driven Multidirectional Curvelet Analysis for Enganced Skin Cancer Detection
Abdul Razak Mohamed Sikkander, V. V. Lakshmi, G. Theivanathan, et al.
(2025)
Closed Access
Optimization of the Entropy-Based Wavelet Method for Removing Strong RF and AC Interferences in a Charge Detection Linear Ion Trap Mass Spectrometer
Chien Mau Dang, Avinash A. Patil, Thị Khánh Ly Lại, et al.
Analytical Chemistry (2025)
Open Access
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Hakan Uyanık, Abdulkadir Sengur, Massimo Salvi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 1
Open Access
A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson’s Disease Recognition
N Shirisha, Baranitharan Kannan, Padmanaban Kuppan, et al.
Journal of Molecular Neuroscience (2025) Vol. 75, Iss. 1
Closed Access
A Comparative Study of Machine Learning and Deep Learning Models for Automatic Parkinson’s Disease Detection from Electroencephalogram Signals
Swagota Bera, Zong Woo Geem, Young Im Cho, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 773-773
Open Access
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access
FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data
Manal Alrawis, Farah Mohammad, Saad Al-Ahmadi, et al.
Diagnostics (2025) Vol. 15, Iss. 8, pp. 992-992
Open Access
Generalizable electroencephalographic classification of Parkinson's disease using deep learning
Richard James Sugden, Phedias Diamandis
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101352-101352
Open Access | Times Cited: 10
Distinguishing Parkinson’s Disease with GLCM Features from the Hankelization of EEG Signals
Mehmet Fatih Karakaş, Fatma Lati̇foğlu
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1769-1769
Open Access | Times Cited: 9
A modified kNN algorithm to detect Parkinson’s disease
Richa Indu, Sushil Chandra Dimri, Preeti Malik
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 9
Exploring the Entropy-Based Classification of Time Series Using Visibility Graphs from Chaotic Maps
J. Alberto Conejero, Andrei Velichko, Òscar Garibo‐i‐Orts, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 938-938
Open Access | Times Cited: 3
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