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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:

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG
Elena Sibilano, Antonio Brunetti, Domenico Buongiorno, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 1, pp. 016048-016048
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals
Ανδρέας Μιλτιάδους, Emmanouil Gionanidis, Katerina D. Tzimourta, et al.
IEEE Access (2023) Vol. 11, pp. 71840-71858
Open Access | Times Cited: 58
Personalized modeling of Alzheimer's disease progression estimates neurodegeneration severity from EEG recordings
Lorenzo Gaetano Amato, Alberto Arturo Vergani, Michael Lassi, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8
Classification Algorithm for Electroencephalogram-based Motor Imagery Using Hybrid Neural Network with Spatio-temporal Convolution and Multi-head Attention Mechanism
Xingbin Shi, Baojiang Li, Wenlong Wang, et al.
Neuroscience (2023) Vol. 527, pp. 64-73
Closed Access | Times Cited: 20
Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG
Elena Sibilano, Domenico Buongiorno, Michael Lassi, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3422-3433
Open Access | Times Cited: 5
Diagnose Alzheimer’s disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals
Khosro Rezaee, Min Zhu
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106895-106895
Closed Access | Times Cited: 5
A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors
Vladimiro Suglia, Lucia Palazzo, Vitoantonio Bevilacqua, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2199-2199
Open Access | Times Cited: 4
Unveiling neural activity changes in mild cognitive impairment using microstate analysis and machine learning
Xiaotian Wu, Yanli Liu, Jiajun Che, et al.
Journal of Alzheimer s Disease (2025)
Closed Access
Auditory steady state response can predict declining EF in healthy elderly individuals
Xiaodong Mao, Nelly Shenton, Sadasivan Puthusserypady, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access
Early Diagnosis of Alzheimer’s Disease in Human Participants Using EEGConformer and Attention-Based LSTM During the Short Question Task
Seul Kee Kim, Jung Bin Kim, Hayom Kim, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 448-448
Open Access
Fusion analysis of EEG-fNIRS multimodal brain signals: a multitask classification algorithm incorporating spatial-temporal convolution and dual attention mechanisms
Xingbin Shi, Haiyan Wang, Baojiang Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-12
Closed Access
Event-related potential markers of subjective cognitive decline and mild cognitive impairment during a sustained visuo-attentive task
Alberto Arturo Vergani, Salvatore Mazzeo, Valentina Moschini, et al.
NeuroImage Clinical (2025) Vol. 45, pp. 103760-103760
Open Access
The Importance of Subjective Cognitive Decline Recognition and the Potential of Molecular and Neurophysiological Biomarkers—A Systematic Review
Janina Ulbl, Martin Rakuša
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10158-10158
Open Access | Times Cited: 12
Clinical Analysis of EEG for Cognitive Activation Using MATLAB Applications
R. Kishore Kanna, U. Mutheeswaran, Kadim A. Jabbar, et al.
(2023), pp. 2604-2608
Closed Access | Times Cited: 11
EEG frequency bands in subjective cognitive decline: A systematic review of resting state studies
Vanesa Pérez, Aránzazu Duque, Vanesa Hidalgo, et al.
Biological Psychology (2024) Vol. 191, pp. 108823-108823
Open Access | Times Cited: 4
ETCNet: An EEG-based motor imagery classification model combining efficient channel attention and temporal convolutional network
Yuxin Qin, Baojiang Li, Wenlong Wang, et al.
Brain Research (2023) Vol. 1823, pp. 148673-148673
Closed Access | Times Cited: 10
Comparison of Automated Machine Learning (AutoML) Tools for Epileptic Seizure Detection Using Electroencephalograms (EEG)
Swetha Lenkala, Revathi Marry, Susmitha Reddy Gopovaram, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 197-197
Open Access | Times Cited: 8
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
Variational Autoencoder Learns Better Feature Representations for EEG-Based Obesity Classification
Yuan Yue, Dirk De Ridder, Patrick Manning, et al.
Lecture notes in computer science (2024), pp. 179-191
Closed Access | Times Cited: 2
Examining the role of participant and study partner report in widely-used classification approaches of mild cognitive impairment in demographically-diverse community dwelling individuals: results from the Einstein aging study
Katherine H. Chang, Cuiling Wang, Caroline O. Nester, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 5
Event-Related Potential Markers of Subject Cognitive Decline and Mild Cognitive Impairment during a sustained visuo-attentive task
Alberto Arturo Vergani, Salvatore Mazzeo, Valentina Moschini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Subjective Cognitive Decline Prediction on Imbalanced Data Using Data-Resampling and Cost-Sensitive Training Methods
Yesoda Bhargava, Sandesh Shetty, Veeky Baths
Procedia Computer Science (2024) Vol. 235, pp. 1964-1979
Open Access | Times Cited: 1
What radio waves tell us about sleep!
Hao He, Chao Li, Wolfgang Ganglberger, et al.
SLEEP (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 1
SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms
Mario Alejandro Bravo-Ortíz, Ernesto Guevara-Navarro, Sergio Alejandro Holguin-García, et al.
Computers in Biology and Medicine (2024) Vol. 181, pp. 109022-109022
Closed Access | Times Cited: 1
The Potential of 1D-CNN for EEG Mental Attention State Detection
NandaKiran Velaga, Deepak Singh
Communications in computer and information science (2024), pp. 173-185
Closed Access | Times Cited: 1
Analyzing sleep thermal comfort with an attention-based gated recurrent unit neural network
Jishen Tang, Jilei Li, Jiang Wang, et al.
Building and Environment (2024) Vol. 262, pp. 111831-111831
Closed Access | Times Cited: 1
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