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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:

Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
Shivanshu Mahim, Md Shahin Ali, Md. Olid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 8390-8412
Open Access | Times Cited: 21

Showing 21 citing articles:

An ensemble classification approach for cervical cancer prediction using behavioral risk factors
Md Shahin Ali, Md. Maruf Hossain, Moutushi Akter Kona, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100324-100324
Open Access | Times Cited: 9
XAI-based Clinical Decision Support System: A Systematic Review
SeYoung Kim, Daeho Kim, Minji Kim, et al.
(2024)
Open Access | Times Cited: 6
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: 5
A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region
Md. Maruf Hossain, Md. Mahfuz Ahmed, Abdullah Al Nomaan Nafi, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109711-109711
Closed Access
Taylor-Dingo Optimized RP-Net for Segmentation Toward Alzheimer’s Disease Detection and Classification Using Deep Learning
T.S. Sindhu, N. Kumaratharan
Computational Biology and Chemistry (2025) Vol. 116, pp. 108359-108359
Closed Access
Explainable Artificial Intelligence in Neuroimaging of Alzheimer’s Disease
Mahdieh Taiyeb Khosroshahi, Soroush Morsali, Sohrab Gharakhanlou, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 612-612
Open Access
Brain tumor detection and classification in MRI using hybrid ViT and GRU model with explainable AI in Southern Bangladesh
Md. Mahfuz Ahmed, Md. Maruf Hossain, Md. Rakibul Islam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
Ahmad Chaddad, Yan Hu, Yihang Wu, et al.
Current Opinion in Biomedical Engineering (2024) Vol. 33, pp. 100567-100567
Closed 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
TRANSFORMER BASED ATTENTION GUIDED NETWORK FOR SEGMENTATION AND HYBRID NETWORK FOR CLASSIFICATION OF LIVER TUMOR FROM CT SCAN IMAGES
S. Stephe, Santosh Kumar B., Arunadevi Thirumalraj, et al.
Eastern Ukrainian Medical Journal (2024) Vol. 12, Iss. 3, pp. 692-710
Open Access | Times Cited: 1
Explainable AI for Alzheimer Detection: A Review of Current Methods and Applications
Fatima Hasan Saif, Mohammed Nasser Al-Andoli, Wan Mohd Yaakob Wan Bejuri
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10121-10121
Open Access | Times Cited: 1
A Review on Alzheimer Disease Classification using different ML and DL Models
Pooja Rathod, Sheshang Degadwala
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 3, pp. 412-423
Open Access
Optimizing Stroke Risk Prediction: A Primary Dataset-Driven Ensemble Classifier with Explainable Artificial Intelligence
Md. Maruf Hossain, Md. Mahfuz Ahmed, Md. Rakibul Hasan Rakib, et al.
(2024)
Closed Access
XAI-Based Clinical Decision Support Systems: A Systematic Review
Se Young Kim, Dae Ho Kim, Min‐Ji Kim, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6638-6638
Open Access
Advanced Deep Learning Approaches for Alzheimer's Disease
Ramakrishna Kumar, Yogesh Kumar Sharma, Monika Dhananjay Rokade, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 51-68
Closed Access
AI-Powered Paradigm Shift
Yogesh Kumar Sharma, Ramakrishna Kumar, Hidayath Ali Baig, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 81-100
Closed Access
Alzheimer's Disease Prediction Using InceptionResNet Integrating Deep Learning Models
M. Jenath, Y. Sri Lalitha, A. M. Vidhyalakshmi, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 415-432
Closed Access
ViTBayesianNet: An adaptive deep bayesian network-aided alzheimer disease detection framework with vision transformer-based residual densenet for feature extraction using MRI images
Rajasekar Mohan, Rajesh Arunachalam, Neha Verma, et al.
Network Computation in Neural Systems (2024), pp. 1-41
Closed Access
LP-DWLA-ViT: Light-Patch and Dynamic window local attention Vision Transformer network for Alzheimer’s disease classification
Бо Лю, Haozhen Xiang, Lingling Fang
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 2022-July, pp. 1-7
Closed Access
Explainability in AI-Based Applications – A Framework for Comparing Different Techniques
Arne Grobrügge, Nidhi Mishra, Johannes Jakubik, et al.
(2024), pp. 70-79
Open Access
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