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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:

Fuzzy-VGG: A fast deep learning method for predicting the staging of Alzheimer's disease based on brain MRI
Zhaomin Yao, Wenxin Mao, Yizhe Yuan, et al.
Information Sciences (2023) Vol. 642, pp. 119129-119129
Closed Access | Times Cited: 19

Showing 19 citing articles:

A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md. Sadman Hafiz, Jamin Rahman Jim, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100340-100340
Open Access | Times Cited: 19
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: 16
A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease
Praveena Ganesan, G. P. Ramesh, C. Puttamdappa, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6798-6798
Open Access | Times Cited: 5
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
Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review
Zia‐ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, et al.
Health Science Reports (2025) Vol. 8, Iss. 5
Open Access
Effective Alzheimer’s disease detection using enhanced Xception blending with snapshot ensemble
Chandrakanta Mahanty, T. M. Rajesh, Nikhil Govil, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A Comparative Study on Data Balancing Methods for Alzheimer's Disease Classification
Esma Öter, Yahya Doğan
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi (2024) Vol. 39, Iss. 2, pp. 489-501
Open Access | Times Cited: 2
Dominating Alzheimer's disease diagnosis with deep learning on sMRI and DTI-MD
Yuxia Li, Guanqun Chen, Guoxin Wang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 2
Exploring Deep Learning Models for Accurate Alzheimer's Disease Classification based on MRI Imaging
Irfan Sadiq Rahat, Tuhin Hossain, Hritwik Ghosh, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
ViT-ALZ: Vision Transformer with Deep Neural Network for Alzheimer’s Disease Detection
Hemant Kumar, Rashi Agarwal
Lecture notes in networks and systems (2024), pp. 175-184
Closed Access | Times Cited: 1
Deep ensemble learning for intelligent healthcare computing: A case study of Alzheimer’s disease
Tawseef Ayoub Shaikh, Tawqeer Ul Islam, Sameen Rafi Mir, et al.
INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING (2024)
Closed Access | Times Cited: 1
FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images
Anima Pramanik, Sudip K. Sarker, Sobhan Sarkar, et al.
Information Systems Frontiers (2024)
Closed Access | Times Cited: 1
An efficient vision transformer for Alzheimer’s disease classification using magnetic resonance images
Siyuan Lu, Yudong Zhang, Yudong Yao
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107263-107263
Closed Access | Times Cited: 1
Alzheimer's Disease Detection Model Based on Multimodal Data Early Fusion of Medical Neuroimaging
Shangxiao Wu, Sheng Qin, Kaiyang Wang, et al.
(2023)
Closed Access | Times Cited: 1
Virtual Interface to Identify Alzheimer's Disease Using Deep Learning Techniques
C. Manikandan, Rishi Kumar, C. Veda Vardhan, et al.
(2024) Vol. 6, pp. 1-6
Closed Access
Intelligent treatment system based on bioinformatics and neuro-immune-digestive tract diseases
Tianshu Wang, Hailing Duan, Javier E. Santos, et al.
Alexandria Engineering Journal (2024) Vol. 107, pp. 415-433
Open Access
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review
Dilek Özkan, Oğuzhan KATAR, Murat Ak, et al.
IEEE Access (2024) Vol. 12, pp. 127879-127902
Open Access
A Short Survey on Computer-Aided Diagnosis of Alzheimer's Disease: Unsupervised Learning, Transfer Learning, and Other Machine Learning Methods
Siyuan Lu
AI medicine. (2024), pp. 2-2
Closed Access
Applications of Generative Artificial Intelligence in Brain MRI Image Analysis for Brain Disease Diagnosis
Zhaomin Yao, Zhen Wang, Weiming Xie, et al.
(2024) Vol. 1, Iss. 2
Closed Access
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