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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:

VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer’s disease prediction
Zhentao Hu, Zheng Wang, Yong Jin, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107291-107291
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Accurate Detection of Alzheimer’s Disease Using Lightweight Deep Learning Model on MRI Data
Ahmed A. Abd El‐Latif, Samia Allaoua Chelloug, Maali Alabdulhafith, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1216-1216
Open Access | Times Cited: 47
Deep learning based MRI reconstruction with transformer
Zhengliang L. Wu, Weibin Liao, Yan Chao, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 233, pp. 107452-107452
Closed Access | Times Cited: 31
Vision Transformer Approach for Classification of Alzheimer’s Disease Using 18F-Florbetaben Brain Images
Hyun-Ji Shin, Soomin Jeon, Youngsoo Seol, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3453-3453
Open Access | Times Cited: 27
A Hybrid Multi-Scale Attention Convolution and Aging Transformer Network for Alzheimer's Disease Diagnosis
Xingyu Gao, Hongjie Cai, Manhua Liu
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3292-3301
Closed Access | Times Cited: 25
A Survey of Deep Learning for Alzheimer’s Disease
Qinghua Zhou, Jiaji Wang, Xiang Yu, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 611-668
Open Access | Times Cited: 22
LongFormer: Longitudinal Transformer for Alzheimer’s Disease Classification with Structural MRIs
Qiuhui Chen, Qiang Fu, Hao Bai, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 3563-3572
Open Access | Times Cited: 12
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
Electroencephalography-based classification of Alzheimer’s disease spectrum during computer-based cognitive testing
Seul Kee Kim, Hayom Kim, Sang Hee Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Research of spatial context convolutional neural networks for early diagnosis of Alzheimer’s disease
Yinsheng Tong, Zuoyong Li, Hui Huang, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 4, pp. 5279-5297
Closed Access | Times Cited: 17
Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models
Esraa Hassan
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9023-9052
Open Access | Times Cited: 7
Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry
Shan Cong, Hang Wang, Yang Zhou, et al.
Brain‐X (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 7
Alzheimer's disease diagnosis in the metaverse
Jalal Safari Bazargani, Nasir Rahim, Abolghasem Sadeghi‐Niaraki, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108348-108348
Closed Access | Times Cited: 7
BiLSTM-ANN: early diagnosis of Alzheimer’s disease using hybrid deep learning algorithms
Princy Matlani
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60761-60788
Closed Access | Times Cited: 5
Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning
Amol Dattatray Dhaygude, Gaurav Ameta, Ihtiram Raza Khan, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 4, pp. 805-820
Open Access | Times Cited: 5
Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG
Elena Sibilano, Domenico Buongiorno, Michael Lassi, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3422-3433
Open Access | Times Cited: 5
ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection
Kemal Akyol
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18277-18295
Open Access | Times Cited: 5
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
Yiman Liu, Qiming Huang, Xiaoxiang Han, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 965-975
Open Access | Times Cited: 4
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
Learning‐Based Progression Detection of Alzheimer’s Disease Using 3D MRI Images
Jacky Chung‐Hao Wu, Tsai-Ju Chien, Chiung-Chih Chang, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Multimodal fusion diagnosis of the Alzheimer’s disease via lightweight CNN-LSTM model using magnetic resonance imaging (MRI)
Ejaz Ul Haq, Yong Qin, Yuan Zhou, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107545-107545
Closed Access
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer’s disease progression
Kai Wu, Hong Wang, Feiyan Feng, et al.
Neural Networks (2025) Vol. 185, pp. 107203-107203
Closed Access
Revolutionizing Diagnostic Insights: Exploring Advanced Image Processing Techniques and Neural Networks in Traditional Indian Medicine
R. Srinivasan, Reeba Korah, M. Ravichandran
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19214-19220
Open Access
Unified multi-protocol MRI for Alzheimer’s disease diagnosis: Dual-decoder adversarial autoencoder and ensemble residual shrinkage attention network
Shiyao Li, Shukuan Lin, Yue Tu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107660-107660
Closed Access
Application of artificial intelligence in Alzheimer’s disease: a bibliometric analysis
Sijia Song, Tong Li, Wei Lin, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Hybrid-RViT: Hybridizing ResNet-50 and Vision Transformer for Enhanced Alzheimer’s disease detection
Hongjie Yan, Vivens Mubonanyikuzo, Temitope Emmanuel Komolafe, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318998-e0318998
Open Access
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