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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 Alzheimer’s Disease from EEG Signal Using Robust-PCA Feature Extraction
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, et al.
Procedia Computer Science (2021) Vol. 192, pp. 3114-3122
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniques
Shaymaa E. Sorour, Amr A. Abd El-Mageed, Khalied M. Albarrak, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101940-101940
Open Access | Times Cited: 37
EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3696-3696
Open Access | Times Cited: 47
Alzheimer’s diseases diagnosis using fusion of high informative BiLSTM and CNN features of EEG signal
Maryam Imani
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105298-105298
Closed Access | Times Cited: 28
Prediction and classification of Alzheimer Disease categories using Integrated Deep Transfer Learning Approach
M. Leela, K. Helenprabha, L. Sharmila
Measurement Sensors (2023) Vol. 27, pp. 100749-100749
Open Access | Times Cited: 20
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
Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis
Dionathan Luan de Vargas, Jefferson Tales Oliva, Marcelo Teixeira, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 16, pp. 12195-12219
Closed Access | Times Cited: 12
Optimized machine learning model for Alzheimer and epilepsy detection from EEG signals
P. Sharmila, T. S. Shiny Angel
Automatika (2024) Vol. 65, Iss. 2, pp. 597-608
Open Access | Times Cited: 3
Unsupervised feature extraction based on uncorrelated approach
Jayashree, T. Shiva Prakash, K R Venugopal
Information Sciences (2024) Vol. 666, pp. 120447-120447
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
Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review
Marcos Avilés, Luz-María Sánchez, José M. Álvarez-Alvarado, et al.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1464-1484
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
EEG-Based Neurodegenerative Disease Classification using LSTM Neural Networks
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, et al.
(2023), pp. 428-432
Closed Access | Times Cited: 5
Class feature Sub-space for few-shot classification
Bin Song, Hong Zhu, Bingxin Wang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 19, pp. 9177-9194
Closed 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
The Effect of Sun Tan Lotion on Skin by Using Skin TEWL and Skin Water Content Measurements
Perry Xiao, Daqing Chen
Sensors (2022) Vol. 22, Iss. 9, pp. 3595-3595
Open Access | Times Cited: 7
Effects of Pharmacological Treatments in Alzheimer’s Disease: Permutation Entropy-Based EEG Complexity Study
Ezgi Fide, Hasan Polat, Görsev Yener, et al.
Brain Topography (2022) Vol. 36, Iss. 1, pp. 106-118
Closed Access | Times Cited: 7
WTD-PSD: Presentation of Novel Feature Extraction Method Based on Discrete Wavelet Transformation and Time-Dependent Power Spectrum Descriptors for Diagnosis of Alzheimer’s Disease
Ali Taghavirashidizadeh, Fatemeh Sharifi, Seyed Amir Vahabi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 6
A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli
Michele Alessandrini, Laura Falaschetti, Giorgio Biagetti, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8039-8039
Open Access | Times Cited: 2
Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
J. C. Sekhar, C. Rajyalakshmi, S. Nagaraj, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101848-101848
Open Access | Times Cited: 2
Alzheimer Detection based on Optimized Machine Learning for EEG Signals
Sonali Dash
(2024), pp. 1-5
Closed Access
Hybridization of Machine Learning Models for Alzheimers Disease Classification
Nirmala Devi A, M. Latha
Journal of Machine and Computing (2024), pp. 861-869
Open Access
D‐Unet: A symmetric architecture of convolutional neural network with two auxiliary outputs for dementia recognition
Siying Li, Pan Xia, Yonggang Zou, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access
Adding Dimensionality Reduction analysis of Texture descriptors for Tourette’s Syndrome classification
Murilo Costa de Barros, Kauê Tartarotti Nepomuceno Duarte, Wang‐Tso Lee, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access
An EEG Pattern Depicting the Attention of Customers While Viewing Video Advertisements
Yahya Rais, Adhi Dharma Wibawa, Diah Puspito Wulandari
(2024), pp. 353-358
Closed Access
EEG-Based Alzheimer's Detection Using Power Spectral Density, Tsallis Entropy, Amplitude Features, and SVM Classification
A. Cissé, Zineb Farahat, Nabila Zrira, et al.
Research Square (Research Square) (2024)
Closed Access
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