Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine Learning Algorithms for Predicting Coronary Artery Disease: Efforts Toward an Open Source Solution
Arvind B. Akella, Sudheer Akella
Future Science OA (2021) Vol. 7, Iss. 6
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
Huazhong Yang, Zhongju Chen, Yang Huajian, et al.
IEEE Access (2023) Vol. 11, pp. 23366-23380
Open Access | Times Cited: 59
New cardiovascular disease prediction approach using support vector machine and quantum-behaved particle swarm optimization
E. I. Elsedimy, Sara M. M. AboHashish, Fahad Algarni
Multimedia Tools and Applications (2023)
Open Access | Times Cited: 52
Prediction of atmospheric PM2.5 level by machine learning techniques in Isfahan, Iran
Farzaneh Mohammadi, Hakimeh Teiri, Yaghoub Hajizadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
A cardiologist’s guide to machine learning in cardiovascular disease prognosis prediction
Karl‐Patrik Kresoja, Matthias Unterhuber, Rolf Wachter, et al.
Basic Research in Cardiology (2023) Vol. 118, Iss. 1
Open Access | Times Cited: 40
Stacking ensemble based hyperparameters to diagnosing of heart disease: Future works
Alfredo Daza Vergaray, Juana Bobadilla Cornelio, Juan Carlos Herrera, et al.
Results in Engineering (2024) Vol. 21, pp. 101894-101894
Open Access | Times Cited: 11
An Intelligent Diagnosis System for Predicting Coronary Heart Disease
Zahra Saberi, Hossein sadr, Mohammad Reza Yamaghani
(2024), pp. 131-137
Closed Access | Times Cited: 10
Classification Comparison of Machine Learning Algorithms Using Two Independent CAD Datasets
Meliz Yuvalı, Belma Yaman, Özgür Tosun
Mathematics (2022) Vol. 10, Iss. 3, pp. 311-311
Open Access | Times Cited: 37
A Reliable Machine Intelligence Model for Accurate Identification of Cardiovascular Diseases Using Ensemble Techniques
Bhanu Prakash Doppala, Debnath Bhattacharyya, Midhunchakkaravarthy Janarthanan, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 34
Machine-learning Algorithms for Ischemic Heart Disease Prediction: A Systematic Review
Salam Bani Hani, Muayyad Ahmad
Current Cardiology Reviews (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 34
Involving machine learning techniques in heart disease diagnosis: a performance analysis
Ban Salman Shukur, Maad M. Mijwil
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 2, pp. 2177-2177
Open Access | Times Cited: 34
Discovery of Approaches by Various Machine learning Ensemble Model and Features Selection Method in Critical Heart Disease Diagnosis
Gyanendra Kumar Pal, Sanjeev Gangwar
International Research Journal on Advanced Science Hub (2022) Vol. 5, Iss. 01, pp. 15-21
Open Access | Times Cited: 29
Use of machine learning to identify risk factors for coronary artery disease
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284103-e0284103
Open Access | Times Cited: 17
Which risk factor best predicts coronary artery disease using artificial neural network method?
Nahid Azdaki, Fatemeh Salmani, Toba Kazemi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
A deep learning-based automated diagnosis system for SPECT myocardial perfusion imaging
Dai Kusumoto, Takumi Akiyama, Masahiro Hashimoto, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
A comprehensive review of deep learning-based models for heart disease prediction
Chunjie Zhou, Pengfei Dai, Aihua Hou, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 5
An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis
Subhash Mondal, Ranjan Maity, Amitava Nag
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
HXAI-ML: A Hybrid Explainable Artificial Intelligence Based Machine Learning Model For Cardiovascular Heart Disease Detection
Md. Alamin Talukder, Amira Samy Talaat, Mohsin Kazi
Results in Engineering (2025), pp. 104370-104370
Open Access
Evaluating the quality of TikTok videos on coronary artery disease using various scales to examine correlations with video characteristics and high-quality content
Hao Peng, Guixin Liu, S. Lian, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Federated and ensemble learning framework with optimized feature selection for heart disease detection
Olfa Hrizi, Karim Gasmi, Abdulrahman Alyami, et al.
AIMS Mathematics (2025) Vol. 10, Iss. 3, pp. 7290-7318
Open Access
Enhancing Cardiovascular Disease Prediction Accuracy Through Optimized Machine Learning and Deep Learning Techniques
S. R. Divyasri, P S Sreeja
Lecture notes in electrical engineering (2025), pp. 379-391
Closed Access
Hybrid CNN-LSTM-GRU With Attention Mechanism for Efficient Cardio Vascular Disease Prediction in IoMT
Supriya Sridharan, V. Swaminathan, Sujarani Rajendran
Advances in medical technologies and clinical practice book series (2025), pp. 503-530
Closed Access
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
Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
Megha Bhushan, Akkshat Pandit, Ayush Garg
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14035-14086
Closed Access | Times Cited: 11
Recursive Feature Elimination and Optimized Hybrid Ensemble Approach for Early Heart Disease Prediction
Jitendra Chaudhari, Kishan Patel, Hiren Mewada, et al.
Advances in Technology Innovation (2025) Vol. 10, Iss. 1, pp. 58-71
Open Access
ECG Data Analysis with Denoising Approach and Customized CNNs
Abhinav Mishra, Ganapathiraju Dharahas, Shilpa Gite, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1928-1928
Open Access | Times Cited: 18
Page 1 - Next Page

Scroll to top