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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:

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: 56

Showing 1-25 of 56 citing articles:

Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 26
TFormer: A time–frequency Transformer with batch normalization for driver fatigue recognition
Ruilin Li, Minghui Hu, Ruobin Gao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102575-102575
Closed Access | Times Cited: 11
STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network
Pramod Kachare, Sandeep B. Sangle, Digambar Puri, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 5, pp. 3195-3208
Closed Access | Times Cited: 11
LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
Pramod Kachare, Digambar Puri, Sandeep B. Sangle, et al.
Physical and Engineering Sciences in Medicine (2024)
Closed Access | Times Cited: 8
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review
Tanvir Islam, Peter Washington
Biosensors (2024) Vol. 14, Iss. 4, pp. 183-183
Open Access | Times Cited: 7
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
Multi-feature fusion learning for Alzheimer's disease prediction using EEG signals in resting state
Yonglin Chen, Huabin Wang, Dailei Zhang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 16
Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Nisreen Said Amer, Samir Brahim Belhaouari
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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
Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
Ramesh Chandra Poonia, Halah Abdulaziz Al-Alshaikh
Computers in Biology and Medicine (2024) Vol. 179, pp. 108874-108874
Closed 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
Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis
Shraddha Jain, Ruchi Srivastava
Brain Topography (2025) Vol. 38, Iss. 3
Closed Access
Comparative Performance Analysis of ML Models for AD Diagnosis: Using Clinical and Cognitive Assessment Data
Manasi Maridevarmath, Shreya Dugani, Uddhav Mense, et al.
Transactions of Indian National Academy of Engineering (2025)
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
GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals
Sagnik De, Prithwijit Mukherjee, Anisha Halder Roy
Computers in Biology and Medicine (2025) Vol. 189, pp. 109928-109928
Closed 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
EEG biomarkers for Alzheimer's disease: A novel automated pipeline for detecting and monitoring disease progression
Leif Simmatis, Emma E. Russo, Tayo Steininger, et al.
Journal of Alzheimer s Disease (2025)
Closed Access
WEFormer: Classification for physiological time series with small sample sizes based on wavelet decomposition and time series foundation models
Xiangdong He, Zhou Jiang, Xiaodong Wu, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107842-107842
Closed Access
Artificial Cognition for Detection of Mental Disability: A Vision Transformer Approach for Alzheimer’s Disease
Maram Fahaad Almufareh, Samabia Tehsin, Mamoona Humayun, et al.
Healthcare (2023) Vol. 11, Iss. 20, pp. 2763-2763
Open Access | Times Cited: 12
EEG-based classification of Alzheimer’s disease and frontotemporal dementia: a comprehensive analysis of discriminative features
Mehran Rostamikia, Yashar Sarbaz, Somayeh Makouei
Cognitive Neurodynamics (2024) Vol. 18, Iss. 6, pp. 3447-3462
Closed Access | Times Cited: 4
Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state
Talifu Zikereya, Yu‐Chen Lin, Zhizhen Zhang, et al.
NeuroImage (2024), pp. 120945-120945
Open Access | Times Cited: 4
A Novel CNN-Based Framework for Alzheimer’s Disease Detection Using EEG Spectrogram Representations
Kostas Stefanou, Katerina D. Tzimourta, Christos Bellos, et al.
Journal of Personalized Medicine (2025) Vol. 15, Iss. 1, pp. 27-27
Open Access
EEGConvNeXt: A Novel Convolutional Neural Network Model for Automated Detection of Alzheimer's Disease and Frontotemporal Dementia Using EEG Signals
Madhav R. Acharya, Ravinesh C. Deo, Prabal Datta Barua, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 262, pp. 108652-108652
Closed 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
Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification
Elnaz Vafaei, Mohammad Hosseini
Sensors (2025) Vol. 25, Iss. 5, pp. 1293-1293
Open Access
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