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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:

Diagnosis of Coronary Artery Disease from Myocardial Perfusion Imaging Using Convolutional Neural Networks
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Procedia Computer Science (2023) Vol. 218, pp. 810-817
Open Access | Times Cited: 11

Showing 11 citing articles:

Software Development Framework for Cardiac Disease Prediction Using Machine Learning Applications
R. Kishore Kanna, K. Yamuna Devi, A. Josephi Arocki Dhivy, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 31
A Comprehensive Review of Cardiac Image Analysis for Precise Heart Disease Diagnosis Using Deep Learning Techniques
Anuj Gupta, Vikas Kumar, Aryan Nakhale
(2025), pp. 275-295
Closed Access
Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study
Ghasem Hajianfar, Omid Gharibi, Maziar Sabouri, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Ensemble Learning-Based Coronary Artery Disease Detection Using Computer Tomography Images
Abdul Rahaman Wahab Sait, Amine Awad
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1238-1238
Open Access | Times Cited: 2
Cardiac Image Analysis for Accurate Heart Disease Diagnosis Using Deep Learning Techniques: A Comprehensive Review
S. David Samuel Azariya, V. Mohanraj, G. Jothi, et al.
Lecture notes in networks and systems (2024), pp. 57-67
Closed Access
Effects of Cropping vs Resizing on the Performance of Brain Tumor Segmentation Models
Ma. Sheila A. Magboo, Andrei D. Coronel
(2024), pp. 1-8
Closed Access
Optimizing Coronary Artery Disease Detection Using a New Triple Concatenated Convolution Neural Network
Slamet Riyadi, Febriyanti Azahra Abidin, Cahya Damarjati
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 4, pp. 1581-1589
Open Access
A Comprehensive Review of Cardiac Image Analysis for Precise Heart Disease Diagnosis Using Deep Learning Techniques
Anuj Gupta, Vikas Kumar, Aryan Nakhale
(2024), pp. 133-155
Closed Access
Philippine Rice Disease Classification Using Deep Learning
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2023), pp. 158-163
Closed Access | Times Cited: 1
Glaucoma Classification Using Deep Learning
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 309-313
Closed Access
Classification of Alzheimer’s Disease from Cranial MRI Images Using Transfer Learning
Christian Immanuel C. Ella, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
(2023), pp. 1-6
Closed Access
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