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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:

A Machine Learning Model for Detection of Coronary Artery Disease Using Noninvasive Clinical Parameters
Mohammadjavad Sayadi, Vijayakumar Varadarajan, Farahnaz Sadoughi, et al.
Life (2022) Vol. 12, Iss. 11, pp. 1933-1933
Open Access | Times Cited: 23

Showing 23 citing articles:

Enhancing Heart Disease Prediction through Ensemble Learning Techniques with Hyperparameter Optimization
Daniyal Asif, Mairaj Bibi, Muhammad Shoaib Arif, et al.
Algorithms (2023) Vol. 16, Iss. 6, pp. 308-308
Open Access | Times Cited: 52
Improved CAD Classification with Ensemble Classifier and Attribute Elimination
Shubbh Mewada, Fagun Patel, Sheshang Degadwala, et al.
(2023)
Closed Access | Times Cited: 25
The Application of Deep Learning for the Segmentation and Classification of Coronary Arteries
Şerife Kaba, Hüseyin Hacı, Ali Işın, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2274-2274
Open Access | Times Cited: 17
Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach
Agorastos-Dimitrios Samaras, Serafeim Moustakidis, Ioannis D. Apostolopoulos, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
An Efficient Approach Towards Heart Disease Using Machine Learning
Arvind Kumar, Lakshita Aggarwal, Shreya Sharma, et al.
(2025), pp. 133-147
Closed Access
Deep Learning-Based CAD Diagnosis Using CNNs
Mohsen Amir Afzali, Hossein Ghaffarian
Intelligent Systems with Applications (2025), pp. 200507-200507
Open Access
Coronary artery disease classification using ConvMixer based classifier from CT angiography images
C. Rajeev, N. Karthika
PeerJ Computer Science (2025) Vol. 11, pp. e2771-e2771
Open Access
The Study of Systemic Immune Inflammatory Index Combined with Metabolic Index and Coronary Artery Disease in Patients with Coronary Heart Disease Complicated with Type 2 Diabetes Mellitus
旭 张
Advances in Clinical Medicine (2025) Vol. 15, Iss. 04, pp. 1564-1576
Closed Access
Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques
C. M. M. Mansoor, Sarat Kumar Chettri, H. M. M. Naleer
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 4545-4569
Closed Access | Times Cited: 3
A fuzzy transformation approach to enhance active learning for heart disease prediction
Heveraldo Rodrigues de Oliveira, Antônio Wilson Vieira, Laércio Ives Santos, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9957-9973
Closed Access | Times Cited: 1
Use machine learning models to identify and assess risk factors for coronary artery disease
Mingyang Zhang, Hongnian Wang, Ju Zhao
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0307952-e0307952
Open Access | Times Cited: 1
Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis
Zhaoshun Jiang, Yuxi Cai, Songbin Liu, et al.
Frontiers in Aging Neuroscience (2023) Vol. 14
Open Access | Times Cited: 3
Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models
Agorastos-Dimitrios Samaras, Serafeim Moustakidis, Ioannis D. Apostolopoulos, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8120-8120
Open Access | Times Cited: 2
Diagnosis of Heart Disease Using Data Mining Techniques: A Systematic Review of Influential Factors and Outcomes
Elahe Gozali, Sadrieh Hajesmaeel‐Gohari, Kamal Khademvatani, et al.
Frontiers in Health Informatics (2024) Vol. 13, pp. 179-179
Open Access
Machine Learning Driven Cardiovascular Disease Prediction Among Male Senior Adults
E. Poongothai, A. Kasthuri, G. Mariammal, et al.
(2024), pp. 1-6
Closed Access
Enhancing automatic early arteriosclerosis prediction: an explainable machine learning evidence
Eka Miranda, Suko Adiarto
Clinical eHealth (2024)
Open Access
Enhancing Cardiac Health: Machine Learning in Coronary Artery Disease Prediction
Anu Ragavi Vijayaraj, P. Subbulakshmi
Lecture notes in networks and systems (2024), pp. 343-356
Closed Access
Analysis of Accuracy Metric of Machine Learning Algorithms in Predicting Heart Disease
Sajad Yousefi, Maryam Poornajaf
Frontiers in Health Informatics (2023) Vol. 12, pp. 135-135
Open Access
Potential directions on coronary artery disease prediction using machine learning algorithms: A survey
Anu Ragavi Vijayaraj, P. Subbulakshmi
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 658-658
Open Access
Implementation of Monarch Butterfly Optimization for Feature Selection in Coronary Artery Disease Classification Using Gradient Boosting Decision Tree
Siti Napi'ah, Triando Hamonangan Saragih, Dodon Turianto Nugrahadi, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2023) Vol. 5, Iss. 4
Open Access
Hybrid Ensemble Stacking Techniques for Coronary Artery Disease Prediction Using Machine Learning Algorithms
Et al. CMM. Mansoor
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 8, pp. 492-500
Open Access
Hybrid Ensemble Stacking Techniques for Coronary Artery Disease Prediction using Machine Learning Algorithms
Sarat Kumar Chettri CMM. Mansoor
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 8, pp. 534-542
Open Access
Predicting Coronary Artery Disease using an Ensemble Voting Model and Machine Learning Techniques
C. M. M. Mansoor, Sarat Kumar Chettri, H. M. M. Naleer
2022 8th International Conference on Smart Structures and Systems (ICSSS) (2023), pp. 1-6
Closed Access
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