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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:

Early and accurate detection and diagnosis of heart disease using intelligent computational model
Yar Muhammad, Muhammad Tahir, Maqsood Hayat, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System
Amit Kishor, Chinmay Chakraborty
Wireless Personal Communications (2021) Vol. 127, Iss. 2, pp. 1615-1631
Closed Access | Times Cited: 164
Early detection of coronary heart disease using ensemble techniques
Vardhan Shorewala
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100655-100655
Open Access | Times Cited: 134
Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems
Chinmay Chakraborty, Amit Kishor
IEEE Transactions on Computational Social Systems (2022) Vol. 9, Iss. 6, pp. 1613-1623
Closed Access | Times Cited: 87
MLP-PSO Hybrid Algorithm for Heart Disease Prediction
Ali Al Bataineh, Sarah Manacek
Journal of Personalized Medicine (2022) Vol. 12, Iss. 8, pp. 1208-1208
Open Access | Times Cited: 84
Classification models combined with Boruta feature selection for heart disease prediction
G. Manikandan, B. Pragadeesh, V. Manojkumar, et al.
Informatics in Medicine Unlocked (2024) Vol. 44, pp. 101442-101442
Open Access | Times Cited: 39
Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators
Karna Vishnu Vardhana Reddy, Irraivan Elamvazuthi, Azrina Abd Aziz, et al.
Applied Sciences (2021) Vol. 11, Iss. 18, pp. 8352-8352
Open Access | Times Cited: 82
Ensemble framework for cardiovascular disease prediction
Achyut Tiwari, Aryan Chugh, Aman Sharma
Computers in Biology and Medicine (2022) Vol. 146, pp. 105624-105624
Open Access | Times Cited: 67
Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications
Elliot Mbunge, John Batani
Telematics and Informatics Reports (2023) Vol. 11, pp. 100097-100097
Open Access | Times Cited: 22
Comprehensive evaluation and performance analysis of machine learning in heart disease prediction
Halah Abdulaziz Al-Alshaikh, P. Prabu, Ramesh Chandra Poonia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques
Yar Muhammad, Mohammad Dahman Alshehri, Wael Mohammad Alenazy, et al.
Mobile Information Systems (2021) Vol. 2021, pp. 1-20
Open Access | Times Cited: 47
Early and accurate prediction of diabetics based on FCBF feature selection and SMOTE
Amit Kishor, Chinmay Chakraborty
International Journal of Systems Assurance Engineering and Management (2021) Vol. 15, Iss. 10, pp. 4649-4657
Closed Access | Times Cited: 43
Identification and classification of pneumonia disease using a deep learning-based intelligent computational framework
Yi Rong, Lanying Tang, Yuqiu Tian, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14473-14486
Open Access | Times Cited: 42
Heart disease prediction using entropy based feature engineering and ensembling of machine learning classifiers
Rajkamal Rajendran, Anitha Karthi
Expert Systems with Applications (2022) Vol. 207, pp. 117882-117882
Closed Access | Times Cited: 36
A multi-variate heart disease optimization and recognition framework
Hossam Magdy Balaha, Ahmed Osama Shaban, Eman M. El-Gendy, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15907-15944
Open Access | Times Cited: 33
Novel Method of Characterization of Heart Disease Prediction Using Sequential Feature Selection-Based Ensemble Technique
Vikas Chaurasia, Aparna Chaurasia
Deleted Journal (2023) Vol. 1, Iss. 2, pp. 932-941
Open Access | Times Cited: 20
Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection
Tahseen Ullah, Syed Irfan Ullah, Khalil Ullah, et al.
IEEE Access (2024) Vol. 12, pp. 16431-16446
Open Access | Times Cited: 7
An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealth
Deepak Kumar, Keerthiveena Balraj, Sandeep Seth, et al.
Health and Technology (2024) Vol. 14, Iss. 3, pp. 495-512
Closed Access | Times Cited: 7
Ensemble-based Heart Disease Diagnosis (EHDD) Using Feature Selection and PCA Extraction Methods
V. Vinodhini, B. Sathiyabhama, S. Vidhushavarshini, et al.
The Open Bioinformatics Journal (2025) Vol. 18, Iss. 1
Open Access
Heart Failure Detection Using Instance Quantum Circuit Approach and Traditional Predictive Analysis
Shtwai Alsubai, Abdullah Alqahtani, Adel Binbusayyis, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1467-1467
Open Access | Times Cited: 13
Forecasting Coronary Heart Disease Risk With a 2-Step Hybrid Ensemble Learning Method and Forward Feature Selection Algorithm
Sushree Chinmayee Patra, B. Uma Maheswari, Peeta Basa Pati
IEEE Access (2023) Vol. 11, pp. 136758-136769
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
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
Advancing Cardiac Assessment Through Computational Synthesis in Seismocardiography
SHERLIN JENIFER MICHAEL GNANARAJ, L.S Jayashree
(2025)
Closed Access
Analysis of machine learning approaches for predictive modeling in heart disease detection systems
Akshaya Kumar Mandal, Satchidananda Dehuri, Pankaj Kumar Deva Sarma
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107723-107723
Closed Access
Ensemble Machine Learning Approaches for Early Heart Attack Detection Through IoT Devices
Tanmay Aswale, Priya Waghmare, Sushma Yemmewar, et al.
Lecture notes in electrical engineering (2025), pp. 429-441
Closed Access
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