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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:

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Independent effects of the triglyceride-glucose index on all-cause mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-III database
Rongting Zhang, Shanshan Shi, Weihua Chen, et al.
Cardiovascular Diabetology (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 67
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106998-106998
Open Access | Times Cited: 49
Myocarditis Diagnosis: A Method using Mutual Learning-Based ABC and Reinforcement Learning
Saba Danaei, Arsam Bostani, Seyed Vahid Moravvej, et al.
(2022)
Closed Access | Times Cited: 37
Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
Junqi Liu, Chengfei Zhang, Zhiyi Shan
Healthcare (2023) Vol. 11, Iss. 20, pp. 2760-2760
Open Access | Times Cited: 31
Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 11
Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical translation
Qiang Zhang, Anastasia Fotaki, Sona Ghadimi, et al.
Journal of Cardiovascular Magnetic Resonance (2024) Vol. 26, Iss. 2, pp. 101051-101051
Open Access | Times Cited: 8
Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37561-e37561
Open Access | Times Cited: 7
ICESat-2 and Multispectral Images Based Coral Reefs Geomorphic Zone Mapping Using a Deep Learning Approach
J. Zhong, Jie Sun, Zulong Lai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6085-6098
Open Access | Times Cited: 6
The role of artificial intelligence in cardiovascular magnetic resonance imaging
Afolasayo A. Aromiwura, João L. Cavalcante, Raymond Y. Kwong, et al.
Progress in Cardiovascular Diseases (2024) Vol. 86, pp. 13-25
Closed Access | Times Cited: 5
Hybrid deep learning for computational precision in cardiac MRI segmentation: Integrating Autoencoders, CNNs, and RNNs for enhanced structural analysis
Md Abu Sufian, Mingbo Niu
Computers in Biology and Medicine (2025) Vol. 186, pp. 109597-109597
Closed Access
An Intelligent Ensemble EfficientNet Prediction System for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis
Muthulakshmi Muthunayagam, Venkatesan Kotteswaran, Prasanalakshmi Balaji, et al.
Intelligence-Based Medicine (2025), pp. 100218-100218
Open Access
Junction less tunnel field-effect transistors (JLTFET): A transformation from design to diagnosis
S. Pavithra, Ashis Tripathy, Girija Shankar Sahoo, et al.
Materials Science in Semiconductor Processing (2025) Vol. 192, pp. 109402-109402
Open Access
Establishing and internally validating a predictive model for coronary heart disease incorporating triglyceride-glucose index, monocyte-to-high-density lipoprotein cholesterol ratio and conventional risk factors in patients experiencing chest pain and referred for invasive coronary angiography
Huihui Yang, Jie Dou, Ruoling Guo, et al.
Lipids in Health and Disease (2025) Vol. 24, Iss. 1
Open Access
Artificial intelligence as applied to classifying epoxy composites for aircraft
Oleh Yasniy, Pavlo Maruschak, Andrii Mykytyshyn, et al.
Aviation (2025) Vol. 29, Iss. 1, pp. 22-29
Open Access
Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance
Saurabhi Samant, Anastasios Panagopoulos, Wei Wu, et al.
Journal of the Society for Cardiovascular Angiography & Interventions (2025) Vol. 4, Iss. 3, pp. 102519-102519
Open Access
PoreSeg: An unsupervised and interactive-based framework for automatic segmentation of X-ray tomography of porous materials
Mehdi Mahdaviara, Mohammad Sharifi, Yousef Rafiei
Advances in Water Resources (2023) Vol. 178, pp. 104495-104495
Closed Access | Times Cited: 15
Artificial intelligence in atherosclerotic disease: Applications and trends
Polydoros N. Kampaktsis, Maria Emfietzoglou, Aamna Al Shehhi, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 9
Open Access | Times Cited: 14
Body composition predicts hypertension using machine learning methods: a cohort study
Mohammad Ali Nematollahi, Soodeh Jahangiri, Arefeh Asadollahi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Dejia Zhou, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Identification of Clinical Features Associated with Mortality in COVID-19 Patients
Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, et al.
Operations Research Forum (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 12
Cardiovascular disease detection using a novel stack-based ensemble classifier with aggregation layer, DOWA operator, and feature transformation
Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Behzad Moshiri, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108345-108345
Closed Access | Times Cited: 4
An Approach to ECG-based Gender Recognition Using Random Forest Algorithm
Nuuruddin Hamid Arif, Mohammad Reza Faisal, Andi Farmadi, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2024) Vol. 6, Iss. 2, pp. 107-115
Open Access | Times Cited: 3
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease
Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106841-106841
Open Access | Times Cited: 9
Explaining decisions of a light-weight deep neural network for real-time coronary artery disease classification in magnetic resonance imaging
Talha Iqbal, Aaleen Khalid, Ihsan Ullah
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 2
Open Access | Times Cited: 2
Optimizing Coronary Artery Disease Diagnosis: A Heuristic Approach Using Robust Data Preprocessing and Automated Hyperparameter Tuning of eXtreme Gradient Boosting
J. Jasmine Gabriel, L. Jani Anbarasi
IEEE Access (2023) Vol. 11, pp. 112988-113007
Open Access | Times Cited: 5
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