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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:

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

Showing 1-25 of 67 citing articles:

A classification and regression tree algorithm for heart disease modeling and prediction
Mert Özcan, Serhat Peker
Healthcare Analytics (2022) Vol. 3, pp. 100130-100130
Open Access | Times Cited: 97
Ensemble Learning for Disease Prediction: A Review
Palak Mahajan, Shahadat Uddin, Farshid Hajati, et al.
Healthcare (2023) Vol. 11, Iss. 12, pp. 1808-1808
Open Access | Times Cited: 93
Particle guided metaheuristic algorithm for global optimization and feature selection problems
Benjamin Danso Kwakye, Yongjun Li, Halima Habuba Mohamed, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123362-123362
Closed Access | Times Cited: 33
A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 78-78
Open Access | Times Cited: 17
A Robust Heart Disease Prediction System Using Hybrid Deep Neural Networks
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
IEEE Access (2023) Vol. 11, pp. 121574-121591
Open Access | Times Cited: 29
MDensNet201-IDRSRNet: Efficient cardiovascular disease prediction system using hybrid deep learning
Manjula Mandava, Surendra Reddy Vinta
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106147-106147
Closed Access | Times Cited: 12
An Improved Ensemble-Based Cardiovascular Disease Detection System with Chi-Square Feature Selection
Ayad Esho Korial, Ivan Isho Gorial, Amjad J. Humaidi
Computers (2024) Vol. 13, Iss. 6, pp. 126-126
Open Access | Times Cited: 12
XGBoost-SHAP framework for asphalt pavement condition evaluation
Aakash Gupta, Sachin Gowda, Achyut Tiwari, et al.
Construction and Building Materials (2024) Vol. 426, pp. 136182-136182
Closed Access | Times Cited: 10
A novel deep learning approach for early detection of cardiovascular diseases from ECG signals
ST. Aarthy, J. L. Mazher Iqbal
Medical Engineering & Physics (2024) Vol. 125, pp. 104111-104111
Closed Access | Times Cited: 8
Big Data Analytics Framework Using Squirrel Search Optimized Gradient Boosted Decision Tree for Heart Disease Diagnosis
Kareemulla Shaik, Janjhyam Venkata Naga Ramesh, Miroslav Mahdal, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5236-5236
Open Access | Times Cited: 20
Heart Disease Prediction Using Novel Quine McCluskey Binary Classifier (QMBC)
Ramdas Kapila, T. Ragunathan, Sumalatha Saleti, et al.
IEEE Access (2023) Vol. 11, pp. 64324-64347
Open Access | Times Cited: 19
Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Grace Ugochi Nneji, et al.
Network Computation in Neural Systems (2024), pp. 1-33
Closed Access | Times Cited: 7
Prediction and risk analysis of Cardio Vascular diseases in IoHT by enhanced CHIO-based Residual and dilated gated network with Attention Mechanism
K. Gunasekaran, V. D. Ambeth Kumar, Jayashree Kharge
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106222-106222
Closed Access | Times Cited: 5
Improving Coronary Heart Disease Prediction Through Machine Learning and an Innovative Data Augmentation Technique
Abdulrakeeb M. Al-Ssulami, Randh S. Alsorori, Aqil M. Azmi, et al.
Cognitive Computation (2023) Vol. 15, Iss. 5, pp. 1687-1702
Closed Access | Times Cited: 15
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
Feature elimination and stacking framework for accurate heart disease detection in IoT healthcare systems using clinical data
Jian Wang, Jianping Li, Amin Ul Haq, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 4
An explainable artificial intelligence and Internet of Things framework for monitoring and predicting cardiovascular disease
Mubarak Albarka Umar, Najah AbuAli, Khaled Shuaib, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110138-110138
Open Access
An explainable AI based new deep learning solution for efficient heart disease prediction at early stages
Muhammad Ashfaq, Nadeem Javaid, Nabil Alrajeh, et al.
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
WE-XAI: explainable AI for CVD prediction using weighted feature selection and ensemble classifiers
S. Padhy, Anjali Mohapatra, Sabyasachi Patra
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective
Enoch Sakyi-Yeboah, Edmund Fosu Agyemang, Vincent Agbenyeavu, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Machine learning models for prediction of NPVR ≥80% with HIFU ablation for uterine fibroids
Meijie Yang, Ying Chen, Xue Zhou, et al.
International Journal of Hyperthermia (2025) Vol. 42, Iss. 1
Open Access
Prediction of Deflection Bowl Parameters by Gain Ratio Enabled Feature Selection and Machine-Learning Ensembles
Sachin Gowda, Nandan Chikkakalabal Shivaiah, M.A. Jayaram, et al.
Journal of Transportation Engineering Part B Pavements (2025) Vol. 151, Iss. 2
Closed Access
IntelliNet: intelligent deep net architecture for efficient cardiovascular disease prediction
D. Deva Hema, Rajeeth Jaison T
Multimedia Tools and Applications (2025)
Closed Access
A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification
Abhigya Mahajan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, et al.
IEEE Access (2024) Vol. 12, pp. 87023-87038
Open Access | Times Cited: 3
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework
Abdallah Abdellatif, Hamza Mubarak, Hamdan Abdellatef, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105644-105644
Closed Access | Times Cited: 9
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