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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:

Conv-Swinformer: Integration of CNN and shift window attention for Alzheimer’s disease classification
Zhentao Hu, Yanyang Li, Zheng Wang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107304-107304
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Diagnosis of Alzheimer's disease via optimized lightweight convolution-attention and structural MRI
Uttam Khatri, Goo‐Rak Kwon
Computers in Biology and Medicine (2024) Vol. 171, pp. 108116-108116
Open Access | Times Cited: 13
Attention-map augmentation for hypercomplex breast cancer classification
Eleonora Lopez, Filippo Betello, Federico Carmignani, et al.
Pattern Recognition Letters (2024) Vol. 182, pp. 140-146
Open Access | Times Cited: 7
Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
Ramesh Chandra Poonia, Halah Abdulaziz Al-Alshaikh
Computers in Biology and Medicine (2024) Vol. 179, pp. 108874-108874
Closed Access | Times Cited: 5
A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, et al.
NeuroImage (2025), pp. 121077-121077
Open Access
Vista: Vision-Text Alignment Model with Contrastive Learning Using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis
Duy-Cat Can, Linh D. Dang, Quang-Huy Tang, et al.
(2025)
Closed Access
Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI
Muhammad Umair Ali, Kwang Su Kim, Majdi Khalid, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 4
MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation
Junzhong Ji, Zuozhen Zhang, Lu Han, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107940-107940
Closed Access | Times Cited: 3
Transformer’s Role in Brain MRI: A Scoping Review
Mansoor Hayat, Supavadee Aramvith
IEEE Access (2024) Vol. 12, pp. 108876-108896
Open Access | Times Cited: 3
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages
T Kim, Junhyeok Son, Ji‐Won Chun, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108950-108950
Closed Access | Times Cited: 3
ResMT: A hybrid CNN-transformer framework for glioma grading with 3D MRI
Honghao Cui, Zhuoying Ruan, Zhijian Xu, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109745-109745
Closed Access | Times Cited: 3
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: 3
Structure focused neurodegeneration convolutional neural network for modelling and classification of Alzheimer’s disease
Simisola Odimayo, Chollette C. Olisah, Khadija Mohammed
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Transformer-based approaches for neuroimaging: an in-depth review of their role in classification and regression tasks
Xinyu Zhu, Shen Sun, Lan Lin, et al.
Reviews in the Neurosciences (2024)
Closed Access | Times Cited: 2
Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Vivek Kumar Prasad, Ashwin Verma, Pronaya Bhattacharya, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Applications of deep learning in Alzheimer’s disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Shiva Toumaj, Arash Heidari, Reza Shahhosseini, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 2
MRI-based automated diagnosis of Alzheimer’s disease using Alzh-Net deep learning model
Shashank Venkat, Tanmay Ghodeswar, P. P. Halkarnikar Kapil A. Chavan, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107367-107367
Closed Access | Times Cited: 2
Video-based working condition recognition of fused magnesium furnace with stochastic configuration networks
Weitao Li, X.B Zhang, Qian Zhang, et al.
Information Sciences (2024) Vol. 661, pp. 120146-120146
Closed Access | Times Cited: 1
EAFP-Med: An efficient adaptive feature processing module based on prompts for medical image detection
Xiang Li, Long Lan, Husam Lahza, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123334-123334
Open Access | Times Cited: 1
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: 1
Multiple Inputs and Mixed Data for Alzheimer’s Disease Classification Based on 3D Vision Transformer
J. A. Castro-Silva, Marı́a N. Moreno Garcı́a, Diego H. Peluffo-Ordóñez
Mathematics (2024) Vol. 12, Iss. 17, pp. 2720-2720
Open Access | Times Cited: 1
MSML-AttUNet: A hierarchical attention network with multi-scale and multi-task for precision liver tumor segmentation
Zhentao Hu, Hongyu Chen, Hua Long, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106861-106861
Closed Access | Times Cited: 1
MSML-AttUNet: A Hierarchical Attention Network with Multi-Scale and Multi-Task for Precision Liver Tumor Segmentation
Zhentao Hu, 陈宏宇 Chen Hongyu, Hua Long, et al.
(2024)
Closed Access
Lca-Med: A Lightweight Cross-Modal Adaptive Feature Processing Module for Detecting Imbalanced Medical Image Distribution
Xiang Li, Long Lan, Husam Lahza, et al.
(2024)
Closed Access
A Traffic Sign Object Detection Network Based on YOLOv8- EfficientNet
Zhongyan Zeng, Xingxue Shi, Fengyun Li
(2024), pp. 2309-2314
Closed Access
An efficient ANN SoC for detecting Alzheimer's disease based on recurrent computing
Zhikang Chen, Yuejun Zhang, Ziyu Zhou, et al.
Computers in Biology and Medicine (2024) Vol. 181, pp. 108993-108993
Closed Access
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