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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:

Computational methods of EEG signals analysis for Alzheimer’s disease classification
Mário Lucas Vicchietti, Fernando M. Ramos, Luiz Eduardo Betting, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A Transfer Learning Approach: Early Prediction of Alzheimer’s Disease on US Healthy Aging Dataset
C. Kishor Kumar Reddy, Aarti Rangarajan, Deepti Rangarajan, et al.
Mathematics (2024) Vol. 12, Iss. 14, pp. 2204-2204
Open Access | Times Cited: 15
A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach
Majid Nour, Ümit Şentürk, Kemal Polat
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105751-105751
Closed Access | Times Cited: 20
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
Optimal time-frequency localized wavelet filters for identification of Alzheimer’s disease from EEG signals
Digambar Puri, Jayanand P. Gawande, Pramod Kachare, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Fractal dimension and clinical neurophysiology fusion to gain a deeper brain signal understanding: A systematic review
Sadaf Moaveninejad, Simone Cauzzo, Camillo Porcaro
Information Fusion (2025), pp. 102936-102936
Closed Access
Temporal electroencephalography features unveiled via olfactory stimulus as biomarkers for mild Alzheimer’s disease
Bilal Orkan Olcay, Murat Pehlivan, Bilge Karaçalı
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107566-107566
Closed Access
Hybrid Reptile-Snake Optimizer Based Channel Selection for Enhancing Alzheimer’s Disease Detection
Digambar Puri, Pramod Kachare, Smith K. Khare, et al.
Journal of Bionic Engineering (2025)
Closed Access
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
Prediction of Alzheimer disease using delta wave of EEG signals
V. Ramasamy, Rajeswari Kaleeswaran
AIP conference proceedings (2025) Vol. 3281, pp. 060040-060040
Closed Access
Unlocking the Potential of EEG in Alzheimer's Disease Research: Current Status and Pathways to Precision Detection
Faisal Akbar, Imran Taj, Syed Muhammad Usman, et al.
Brain Research Bulletin (2025), pp. 111281-111281
Open Access
Epilepsy Diagnosis Analysis via a Multiple-Measures Composite Strategy from the Viewpoint of Associated Network Analysis Methods
Haoying Niu, Tiange Mu, Yuting Wang, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3015-3015
Open Access
A novel optimal wavelet filter banks for automated diagnosis of Alzheimer’s disease and mild cognitive impairment using Electroencephalogram signals
Digambar Puri, Jayanand P. Gawande, Jaswantsing L. Rajput, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100336-100336
Open Access | Times Cited: 11
EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review
Nisreen Said Amer, Samir Brahim Belhaouari
IEEE Access (2023) Vol. 11, pp. 143116-143142
Open Access | Times Cited: 9
Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Brian Premchand, Liyuan Liang, Kok Soon Phua, et al.
NeuroSci (2024) Vol. 5, Iss. 4, pp. 407-428
Open Access | Times Cited: 2
Multi-Class Detection of Neurodegenerative Diseases from EEG Signals Using Lightweight LSTM Neural Networks
Laura Falaschetti, Giorgio Biagetti, Michele Alessandrini, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6721-6721
Open Access | Times Cited: 2
Visibility graph analysis for brain: scoping review
Sadegh Sulaimany, Zhino Safahi
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Beyond Frequency Bands: Complementary-Ensemble-Empirical-Mode-Decomposition-Enhanced Microstate Sequence Non-Randomness Analysis for Aiding Diagnosis and Cognitive Prediction of Dementia
Wang Wan, Zhongze Gu, Chung‐Kang Peng, et al.
Brain Sciences (2024) Vol. 14, Iss. 5, pp. 487-487
Open Access | Times Cited: 1
A Review on Machine Learning Approaches for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Based on Brain MRI
Helia Givian, Jean-Paul Calbimonte
IEEE Access (2024) Vol. 12, pp. 109912-109929
Open Access | Times Cited: 1
Advances in non-invasive EEG-based brain-computer interfaces: Signal acquisition, processing, emerging approaches, and applications
Shiu Kumar, Alok Sharma
Elsevier eBooks (2024), pp. 281-310
Closed Access | Times Cited: 1
Is EEG Entropy a Useful Measure for Alzheimer's Disease?
Manuel Alejandro Zúñiga, Ángela Rocío Acero González, Juan C. Restrepo-Castro, et al.
Actas Españolas de Psiquiatría (2024) Vol. 52, Iss. 3, pp. 347-364
Open Access | Times Cited: 1
FDI: A MATLAB tool for computing the fractal dimension index of sources reconstructed from EEG data
Juan Ruiz de Miras, Adenauer G. Casali, Marcello Massimini, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108871-108871
Open Access | Times Cited: 1
Graph based novel features for detection of Alzheimer’s disease using EEG signals
Ramnivas Sharma, Hemant Kumar Meena
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107380-107380
Closed Access | Times Cited: 1
Quantifying instability in neurological disorders EEG based on phase space DTM function
Tianming Cai, Guoying Zhao, Junbin Zang, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108951-108951
Closed Access
Context-aware AR adaptive information push for product assembly: Aligning information load with human cognitive abilities
Binbin Wang, Lianyu Zheng, Yiwei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103086-103086
Closed Access
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