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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:

Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network
Lin Chen, Hezhe Qiao, Fan Zhu
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 464-505
Open Access | Times Cited: 25
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
Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
Pierluigi Carcagnì, Marco Leo, Marco Del Coco, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1694-1694
Open Access | Times Cited: 38
Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 11
Deep Ensemble learning and quantum machine learning approach for Alzheimer’s disease detection
Abebech Jenber Belay, Yelkal Mulualem Walle, Melaku Bitew Haile
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Patch-based deep multi-modal learning framework for Alzheimer’s disease diagnosis using multi-view neuroimaging
Fangyu Liu, Shizhong Yuan, Weimin Li, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104400-104400
Closed Access | Times Cited: 22
An end-to-end multimodal 3D CNN framework with multi-level features for the prediction of mild cognitive impairment
Yanteng Zhang, Xiaohai He, Yixin Liu, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111064-111064
Closed Access | Times Cited: 14
A patch distribution-based active learning method for multiple instance Alzheimer's disease diagnosis
Tianxiang Wang, Qun Dai
Pattern Recognition (2024) Vol. 150, pp. 110341-110341
Closed Access | Times Cited: 5
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI
Shicheng Wei, Wencheng Yang, Eugene Wang, et al.
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Closed Access
Tumor–lymph cross-plane projection reveals spatial relationship features: a ResNet-CBAM model for prognostic prediction in esophageal cancer
Jianxia Xu, Chen Huang, Qianshun Chen, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Multimodal cross enhanced fusion network for diagnosis of Alzheimer’s disease and subjective memory complaints
Yilin Leng, Wenju Cui, Yunsong Peng, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106788-106788
Open Access | Times Cited: 11
Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer’s Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis
Jian‐Guo Zhou, Mingli Zhao, Yang Zhou, et al.
Journal of Alzheimer s Disease (2024) Vol. 97, Iss. 3, pp. 1275-1288
Closed Access | Times Cited: 3
PCcS-RAU-Net: Automated parcellated Corpus callosum segmentation from brain MRI images using modified residual attention U-Net
Anjali Chandra, Shrish Verma, Ajay Singh Raghuvanshi, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 2, pp. 403-427
Closed Access | Times Cited: 8
Deep joint learning of pathological region localization and Alzheimer’s disease diagnosis
Chang-Hyun Park, Wonsik Jung, Heung‐Il Suk
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts
Şengül Doğan, Prabal Datta Barua, Mehmet Bayğın, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 815-828
Closed Access | Times Cited: 9
Detection of mild cognitive impairment based on attention mechanism and parallel dilated convolution
Tao Wang, Zenghui Ding, Xianjun Yang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2056-e2056
Open Access | Times Cited: 1
Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN Using T1-MRI
Yilin Leng, Wenju Cui, Chen Bai, et al.
Lecture notes in computer science (2023), pp. 120-130
Closed Access | Times Cited: 2
Multi-task joint learning network based on adaptive patch pruning for Alzheimer’s disease diagnosis and clinical score prediction
Fangyu Liu, Shizhong Yuan, Weimin Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106398-106398
Closed Access
Revolutionizing Alzheimer’s detection: an advanced telemedicine system integrating Internet-of-Things and convolutional neural networks
Mohamed A. M. Massoud, Mohamed E. El-Bouridy, Wael Abouelwafa
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16411-16426
Open Access
Early prediction of Alzheimer's disease based on attention mechanism of WCNN and multi-modal feature fusion
Lanbo Xu, Yanfang Zhang, Yifan Wang, et al.
Research Square (Research Square) (2024)
Open Access
Methods of Increasing Training Data for a 3D Neural Network for Alzheimer’s Disease Diagnosis
V. O. Yachnaya, M. A. Mikhalkova
2021 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) (2024), pp. 1-5
Closed Access
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-Mri-Based Brain Network
Yilin Leng, Wenju Cui, Chen Bai, et al.
(2024)
Open Access
Deep learning techniques for Alzheimer's disease detection in 3D imaging: A systematic review
Zia‐ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, et al.
Health Science Reports (2024) Vol. 7, Iss. 9
Open Access
Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review
Gelareh Valizadeh, Reza Elahi, Zahra Hasankhani, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion
Jingru Wang, S. P. Wen, Wenjie Liu, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
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