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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 deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer’s diagnosis
Katia Maria Poloni, Ricardo J. Ferrari
Expert Systems with Applications (2022) Vol. 195, pp. 116622-116622
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina, et al.
Information Fusion (2023) Vol. 100, pp. 101945-101945
Open Access | Times Cited: 96
Deep learning for brain age estimation: A systematic review
M. Tanveer, M. A. Ganaie, Iman Beheshti, et al.
Information Fusion (2023) Vol. 96, pp. 130-143
Open Access | Times Cited: 75
A deep learning framework for early diagnosis of Alzheimer’s disease on MRI images
Doaa Ahmed Arafa, Hossam El-Din Moustafa, Hesham Ali, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 3767-3799
Open Access | Times Cited: 43
A3C-TL-GTO: Alzheimer Automatic Accurate Classification Using Transfer Learning and Artificial Gorilla Troops Optimizer
Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4250-4250
Open Access | Times Cited: 37
Genetically supported targets and drug repurposing for brain aging: A systematic study in the UK Biobank
Yi Fan, Jing Yuan, Judith Somekh, et al.
Science Advances (2025) Vol. 11, Iss. 11
Closed Access | Times Cited: 1
Development of framework by combining CNN with KNN to detect Alzheimer’s disease using MRI images
Madhusudan G. Lanjewar, Jivan S. Parab, Arman Yusuf Shaikh
Multimedia Tools and Applications (2022) Vol. 82, Iss. 8, pp. 12699-12717
Closed Access | Times Cited: 34
Alzheimer’s disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images
Lucas José Cruz de Mendonça, Ricardo J. Ferrari
Expert Systems with Applications (2022) Vol. 211, pp. 118633-118633
Open Access | Times Cited: 31
A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer’s disease using neuroimaging
Xinze Xu, Lan Lin, Shen Sun, et al.
Reviews in the Neurosciences (2023) Vol. 34, Iss. 6, pp. 649-670
Closed Access | Times Cited: 20
A review on brain age prediction models
L.K. Soumya Kumari, R. Sundarrajan
Brain Research (2023) Vol. 1823, pp. 148668-148668
Closed Access | Times Cited: 16
Antenna contactless partial discharges detection in covered conductors using ensemble stacking neural networks
Lukáš Klein, David Seidl, Jan Fulneček, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118910-118910
Open Access | Times Cited: 23
An Alzheimer’s disease classification method using fusion of features from brain Magnetic Resonance Image transforms and deep convolutional networks
Akbar Asgharzadeh-Bonab, Hashem Kalbkhani, Sina Azarfardian
Healthcare Analytics (2023) Vol. 4, pp. 100223-100223
Open Access | Times Cited: 15
Unveiling Alzheimer’s disease through brain age estimation using multi-kernel regression network and magnetic resonance imaging
Raveendra Pilli, Tripti Goel, R. Murugan
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108617-108617
Closed Access
Optimizing ResNet50 Performance Using Stochastic Gradient Descent on MRI Images for Alzheimer's Disease Classification
Mohamed Amine Mahjoubi, Driss Lamrani, Shawki Saleh, et al.
Intelligence-Based Medicine (2025) Vol. 11, pp. 100219-100219
Open Access
MRI-Based Biomarker in the Diagnosis of Alzheimer’s Disease Using Attention-UNet
Jayavardhana Arumugam, V. Prasanna Venkatesan, Tabiya Manzoor Beigh
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Exploring the efficacy of neurofeedback training in modulating alpha-frequency band and its effects on functional connectivity and band power
Danyal Mahmood, Humaira Nisar, Chi‐Yi Tsai
Expert Systems with Applications (2024) Vol. 254, pp. 124415-124415
Closed Access | Times Cited: 3
Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review
Yutong Wu, Hongjian Gao, Chen Zhang, et al.
Tomography (2024) Vol. 10, Iss. 8, pp. 1238-1262
Open Access | Times Cited: 3
A ResNet mini architecture for brain age prediction
Xuan Zhang, Siyuan Duan, Siqi Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos
Jian Sun, Hiroko H. Dodge, Mohammad H. Mahoor
Expert Systems with Applications (2023) Vol. 238, pp. 121929-121929
Open Access | Times Cited: 5
Brain age estimation with a greedy dual-stream model for limited datasets
Iman Kianian, Hedieh Sajedi
Neurocomputing (2024) Vol. 596, pp. 127974-127974
Open Access | Times Cited: 1
Predicting brain age across the adult lifespan with spontaneous oscillations and functional coupling in resting brain networks captured with magnetoencephalography
Samuel Hardy, Gill Roberts, Matthew Ventresca, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-17
Open Access | Times Cited: 1
Fusing Multi-Scale Functional Connectivity Patterns via Multi-Branch Vision Transformer (MB-ViT) for Macaque Brain Age Prediction
Jingchao Zhou, Yuzhong Chen, Xuewei Jin, et al.
Neural Networks (2024) Vol. 179, pp. 106592-106592
Closed Access | Times Cited: 1
Brain age prediction via cross-stratified ensemble learning
Xinlin Li, Zezhou Hao, Di Li, et al.
NeuroImage (2024) Vol. 299, pp. 120825-120825
Open Access | Times Cited: 1
A review of artificial intelligence-based brain age estimation and its applications for related diseases
Mohamed Azzam, Ziyang Xu, Ruobing Liu, et al.
Briefings in Functional Genomics (2024)
Open Access | Times Cited: 1
Predicting brain age gap with radiomics and automl: A Promising approach for age-Related brain degeneration biomarkers
Guo Xiaoliang, Yanhui Ding, Weizhi Xu, et al.
Journal of Neuroradiology (2023) Vol. 51, Iss. 3, pp. 265-273
Open Access | Times Cited: 3
Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age Biomarkers?
Bruno Machado Pacheco, Victor Hugo Rocha de Oliveira, Augusto Braga Fernandes Antunes, et al.
Lecture notes in computer science (2023), pp. 181-194
Closed Access | Times Cited: 3
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