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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:

An Attention-Based 3D CNN With Multi-Scale Integration Block for Alzheimer's Disease Classification
Yuanchen Wu, Yuan Zhou, Weiming Zeng, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5665-5673
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Deep learning based multimodal biomedical data fusion: An overview and comparative review
Junwei Duan, Jiaqi Xiong, Yinghui Li, et al.
Information Fusion (2024) Vol. 112, pp. 102536-102536
Closed Access | Times Cited: 43
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: 19
Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer’s disease analysis
Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, et al.
Pattern Recognition (2024) Vol. 152, pp. 110450-110450
Closed Access | Times Cited: 9
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
Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer’s Disease: A Comprehensive Review
Ghazala Hcini, Imen Jdey, Habib Dhahri
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 7
Three-round learning strategy based on 3D deep convolutional GANs for Alzheimer’s disease staging
Wenjie Kang, Lan Lin, Shen Sun, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16
MMTFN: Multi‐modal multi‐scale transformer fusion network for Alzheimer's disease diagnosis
Shang Miao, Qun Xu, Weimin Li, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 16
Sign2Pose: A Pose-Based Approach for Gloss Prediction Using a Transformer Model
Jennifer Eunice, J. Andrew, Yuichi Sei, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2853-2853
Open Access | Times Cited: 13
A Dimension Centric Proximate Attention Network and Swin Transformer for Age-Based Classification of Mild Cognitive Impairment From Brain MRI
T. Illakiya, R. Karthik
IEEE Access (2023) Vol. 11, pp. 128018-128031
Open Access | Times Cited: 13
End-to-end automatic pathology localization for Alzheimer’s disease diagnosis using structural MRI
Gongpeng Cao, Manli Zhang, Yiping Wang, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107110-107110
Open Access | Times Cited: 12
FDCNN-AS: Federated deep convolutional neural network Alzheimer detection schemes for different age groups
Abdullah Lakhan, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, et al.
Information Sciences (2024) Vol. 677, pp. 120833-120833
Open Access | Times Cited: 4
MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network
Chaosheng Tang, Mengbo Xi, Junding Sun, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108259-108259
Open Access | Times Cited: 4
Ensemble Vision Transformer for Dementia Diagnosis
Fei Huang, Anqi Qiu
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5551-5561
Closed Access | Times Cited: 4
Advancements in Alzheimer's disease classification using deep learning frameworks for multimodal neuroimaging: A comprehensive review
Prashant Upadhyay, Pradeep Tomar, Satya Prakash Yadav
Computers & Electrical Engineering (2024) Vol. 120, pp. 109796-109796
Closed Access | Times Cited: 4
Innovative multi-modal approaches to Alzheimer’s disease detection: Transformer hybrid model and adaptive MLP-Mixer
Rahma Kadri, Bassem Bouaziz, Mohamed Tmar, et al.
Pattern Recognition Letters (2025) Vol. 190, pp. 15-21
Closed Access
An attention enhanced dilated bottleneck network for kidney disease classification
J. Jenifa Sharon, L. Jani Anbarasi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
HybridViT: An Approach for Alzheimer’s Disease Classification with ADNI Neuroimaging Data
Tekumudi Vivek Sai Surya Chaitanya, A. Ramanathan
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
DMA-HPCNet: Dual Multi-Level Attention Hybrid Pyramid Convolution Neural Network for Alzheimer’s Disease Classification
Shiguan Mu, S. Shan, Lanlan Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1955-1964
Open Access | Times Cited: 3
MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention
Jiayu Ye, An Zeng, Dan Pan, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3637-3648
Closed Access | Times Cited: 2
Neuroimaging Analysis for Early Diagnosis of ADNI Progression with EfficientNet
J. Jeyalakshmi, J Lokesh Kumar, S Vishnu
(2024), pp. 1555-1560
Closed 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
A Bi-Pyramid Multimodal Fusion Method for the Diagnosis Of Bipolar Disorders
Guoxin Wang, Shi Sheng, Shan An, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1746-1750
Open Access | Times Cited: 1
Alzhinet: an explainable self-attention based classification model to detect Alzheimer from 3D volumetric MRI data
Abdul Basit Ahanger, Syed Wajid Aalam, Assif Assad, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 1
Early diagnosis of Alzheimer’s disease using a group self-calibrated coordinate attention network based on multimodal MRI
Xiaojie Yu, Jingyuan Liu, Yinping Lu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Graph-Based Alzheimer’s Disease Diagnosis with Contrastive Learning and Graph Transformer
Yuting Zhang, Gongpeng Cao, Xingxing Xu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 2
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