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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:

A novel method for diagnosing Alzheimer's disease using deep pyramid CNN based on EEG signals
Wei Xia, Ran Zhang, Xiao Zhang, et al.
Heliyon (2023) Vol. 9, Iss. 4, pp. e14858-e14858
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Adazd-Net: Automated adaptive and explainable Alzheimer’s disease detection system using EEG signals
Smith K. Khare, U. Rajendra Acharya
Knowledge-Based Systems (2023) Vol. 278, pp. 110858-110858
Open Access | Times Cited: 51
A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Ikram Bazarbekov, Abdul Razaque, Madina Ipalakova, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106023-106023
Closed Access | Times Cited: 18
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
Neuropsychological and electrophysiological measurements for diagnosis and prediction of dementia: a review on Machine Learning approach
Claudia Carrarini, Cristina Nardulli, Laura Titti, et al.
Ageing Research Reviews (2024) Vol. 100, pp. 102417-102417
Closed Access | Times Cited: 5
Inter-hospital moderate and advanced Alzheimer's disease detection through convolutional neural networks
Carlos Roncero-Parra, Alfonso Parreño Torres, Roberto Sánchez-Reolid, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26298-e26298
Open 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
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
Identification of Alzheimer’s disease brain networks based on EEG phase synchronization
Jiayi Cao, Bin Li, Xiaoou Li
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access
Dual-pathway EEG model with channel attention for virtual reality motion sickness detection
Chengcheng Hua, Yuechi Chen, Jianlong Tao, et al.
Journal of Neuroscience Methods (2025), pp. 110425-110425
Closed Access
Multimodal diagnosis of Alzheimer’s disease based on resting-state electroencephalography and structural magnetic resonance imaging
Junxiu Liu, Shangxiao Wu, Qiang Fu, et al.
Frontiers in Physiology (2025) Vol. 16
Open Access
Dementia classification using a graph neural network on imaging of effective brain connectivity
Jun Cao, Lichao Yang, Ptolemaios G. Sarrigiannis, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107701-107701
Open Access | Times Cited: 12
Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN
Srinath Akuthota, K. Rajkumar, Janapati Ravichander
Heliyon (2024) Vol. 10, Iss. 7, pp. e27198-e27198
Open Access | Times Cited: 3
Applications of deep learning in Alzheimer’s disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Shiva Toumaj, Arash Heidari, Reza Shahhosseini, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 2
Next-Gen Security: Leveraging Advanced Technologies for Social Medical Public Healthcare Resilience

South Eastern European Journal of Public Health (2024)
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
Early Heart Disease Prediction using Feature Engineering and Machine Learning Algorithms
Mohammed Amine Bouqentar, Oumaima Terrada, Soufiane Hamida, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38731-e38731
Open Access | Times Cited: 1
Artificial intelligence for brain disease diagnosis using electroencephalogram signals
Shunuo Shang, Yingqian Shi, Yajie Zhang, et al.
Journal of Zhejiang University SCIENCE B (2024) Vol. 25, Iss. 10, pp. 914-940
Closed Access | Times Cited: 1
Classification of Moderate and Advanced Alzheimer's Patients Using Radial Basis Function Based Neural Networks Initialized with Fuzzy Logic
Carlos Roncero Parra, Alfonso Parreño Torres, Jorge Mateo, et al.
IRBM (2023) Vol. 44, Iss. 5, pp. 100795-100795
Closed Access | Times Cited: 4
PsyneuroNet architecture for multi-class prediction of neurological disorders
Kavita Rawat, Trapti Sharma
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107080-107080
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
INVESTIGATING THE VARIATIONS IN THE BRAIN ACTIVITY BETWEEN HEALTHY SUBJECTS AND MILD COGNITIVE IMPAIRMENT (MCI) PATIENTS
NAJMEH PAKNIYAT, Balamurali Ramakrishnan, V. PALLAVI, et al.
Fractals (2023) Vol. 31, Iss. 09
Open Access | Times Cited: 3
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
Classification of cognitive impairment using electroencephalography for clinical inspection
Karuppathal Easwaran, Kalpana Ramakrishnan, Senthil Nathan Jeyabal
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2024) Vol. 238, Iss. 3, pp. 358-371
Closed Access
Early Detection of Alzheimer’s Disease through Analysis of EEG Responses to Word Recognition
Han-Byul Jang, Seul Kee Kim, Jihyeon Ha, et al.
(2024), pp. 1-4
Closed Access
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