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:

Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Imam Hossain, Mehadi Hasan Maruf, Md. Ashikur Rahman Khan, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 397-417
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Machine Learning in Health
Gozde Kara, Leyla Özgür Polat
Advances in healthcare information systems and administration book series (2024), pp. 165-200
Closed Access | Times Cited: 85
HeartEnsembleNet: An Innovative Hybrid Ensemble Learning Approach for Cardiovascular Risk Prediction
Syed Ali Jafar Zaidi, Abdul Ghafoor, Jun Kim, et al.
Healthcare (2025) Vol. 13, Iss. 5, pp. 507-507
Open Access | Times Cited: 3
Cardiovascular Disease Prediction using Patient History and Real Time Monitoring
K Ananthajothi, Joshua A. David, A Kavin
(2024)
Closed Access | Times Cited: 14
Navigating the Future of Cardiac Diagnostics: Insights From Artificial Neural Networks
Tanya Sinha, Swathi Godugu, Syed Faqeer Hussain Bokhari
Cureus (2024)
Open Access | Times Cited: 9
Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach
Awad Bin Naeem, Biswaranjan Senapati, Dipen Bhuva, et al.
IEEE Access (2024) Vol. 12, pp. 37349-37362
Open Access | Times Cited: 8
Enhancing healthcare in the digital era: A secure e-health system for heart disease prediction and cloud security
Kavitha Vellore Pichandi, Vijayaraj Janarthanan, Tamizhselvi Annamalai, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124479-124479
Closed Access | Times Cited: 8
Artificial Intelligence, Lymphoid Neoplasms, and Prediction of MYC, BCL2, and BCL6 Gene Expression Using a Pan-Cancer Panel in Diffuse Large B-Cell Lymphoma
Joaquim Carreras, Naoya Nakamura
Hemato (2024) Vol. 5, Iss. 2, pp. 119-143
Open Access | Times Cited: 6
Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023
Sorif Hossain, Mohammad Kamrul Hasan, Mohammad Omar Faruk, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
From data to diagnosis: leveraging machine learning for heart disease classification
Palash Swarnakar, Susmita Sikdar, Partha Sarathi Swarnakar
Elsevier eBooks (2025), pp. 115-128
Closed Access
Biomedical Informatics: Considering Predictive Models for Early Detection of Heart Diseases
Sunday Clement Agu, Uchenna Kenneth Ezemagu, Olivér Hornyák
Lecture notes in networks and systems (2025), pp. 98-112
Closed Access
CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease
Fatma M. Talaat, Ahmed R. Elnaggar, Warda M. Shaban, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 822-822
Open Access | Times Cited: 3
Heart Disease Detection and Prognosis Using IoT-Based ECG Sensor Data with Hybrid Deep Learning Architecture and Optimal Resource Allocation
Pranali P. Lokhande, Kotadi Chinnaiah­
Cybernetics & Systems (2025), pp. 1-51
Closed Access
Diverse machine learning approaches for early prediction of heart attack
Meena Rawat, Dinesh Singh, Rahul Boadh
AIP conference proceedings (2025) Vol. 3283, pp. 040037-040037
Closed Access
Grey wolf optimized stacked ensemble machine learning based model for enhanced efficiency and reliability of predicting early heart disease
Geetha Narasimhan, Akila Victor
Automatika (2024) Vol. 65, Iss. 3, pp. 749-762
Open Access | Times Cited: 2
Enhanced heart disease prediction through hybrid CNN-TLBO-GA optimization: a comparative study with conventional CNN and optimized CNN using FPO algorithm
R. P. Ram Kumar, S. Raju, Errabelli Annapoorna, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Novel framework of significant risk factor identification and cardiovascular disease prediction
Soham Bandyopadhyay, A Samanta, Monalisa Sarma, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125678-125678
Closed Access | Times Cited: 2
A systematic clinical healthcare model for assessing post-pandemic recovery in heart diagnosis
Subramaniam Pragathi, Samayan Narayanamoorthy, S. Dhivya, et al.
Applied Soft Computing (2024), pp. 112407-112407
Closed Access | Times Cited: 2
Heart disease prediction using ML through enhanced feature engineering with association and correlation analysis
A. Lakshmanarao, T. V. Krishna, T. Srinivasa Ravi Kiran, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 1122-1122
Open Access | Times Cited: 1
Enhanced Detection of Chronic Heart Disease: A Novel Approach With Extreme Gradient Boosting-Logistic Regression Algorithm
G. Kiruthiga
Deleted Journal (2024) Vol. 20, Iss. 5s, pp. 1814-1826
Open Access | Times Cited: 1
Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning
Min Shen, Zhang Yin-e, Runqing Zhan, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 290, pp. 117570-117570
Closed Access | Times Cited: 1
A Voting Ensemble based Machine Learning Approach to Predict Cardiovascular Disease
Ahmad Jainul Abidin, Rownak Borhan, Arifa Akhter, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Heart Disease Prediction based on Physiological Parameters Using Ensemble Classifier and Parameter Optimization
Agung Muliawan, Achmad Rizal, Sugondo Hadiyoso
Journal of Applied Engineering and Technological Science (JAETS) (2023) Vol. 5, Iss. 1, pp. 258-267
Open Access | Times Cited: 2
PENGARUH SELEKSI FITUR PADA TINGKAT AKURASI METODE RANDOM FOREST UNTUK IDENTIFIKASI AKUN BUZZER TWEET TOKOH POLITIK INDONESIA
Ichas Purnama Ginandjar, Puspita Nurul S, Ridwan Ilyas
JATI (Jurnal Mahasiswa Teknik Informatika) (2024) Vol. 7, Iss. 5, pp. 3427-3432
Open Access
Heart Disease Prediction System using hybrid model of Multi-layer perception and XGBoost algorithms
Israa Nadheer
BIO Web of Conferences (2024) Vol. 97, pp. 00047-00047
Open Access
A novel ensemble artificial intelligence approach for coronary artery disease prediction
Özge H. Namlı, Seda Yanık, Aslan Erdoğan, et al.
International Journal of Intelligent Computing and Cybernetics (2024) Vol. 17, Iss. 3, pp. 523-548
Closed Access
Page 1 - Next Page

Scroll to top