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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:

Enhancing Heart Disease Prediction Accuracy through Machine Learning Techniques and Optimization
Nadikatla Chandrasekhar, Samineni Peddakrishna
Processes (2023) Vol. 11, Iss. 4, pp. 1210-1210
Open Access | Times Cited: 106

Showing 1-25 of 106 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
Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time
Md. Reazul Islam, Md. Mohsin Kabir, M. F. Mridha, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5204-5204
Open Access | Times Cited: 79
DEEP-CARDIO: Recommendation System for Cardiovascular Disease Prediction Using IoT Network
A. Yashudas, Dinesh Gupta, G. C. Prashant, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14539-14547
Closed Access | Times Cited: 23
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
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 | Times Cited: 3
A hybrid deep neural net learning model for predicting Coronary Heart Disease using Randomized Search Cross-Validation Optimization
Neeraj Sharma, Lokesh Malviya, Akshay Jadhav, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100331-100331
Open Access | Times Cited: 23
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 8
Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN
Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, et al.
Results in Engineering (2025) Vol. 25, pp. 104032-104032
Open Access | Times Cited: 1
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 | Times Cited: 1
Evaluating the Performance of Automated Machine Learning (AutoML) Tools for Heart Disease Diagnosis and Prediction
Lauren M. Paladino, Alexander P. Hughes, A.A.D.S.N.A. Perera, et al.
AI (2023) Vol. 4, Iss. 4, pp. 1036-1058
Open Access | Times Cited: 17
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
A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques
Najmu Nissa, Sanjay Jamwal, Mehdi Neshat
Computation (2024) Vol. 12, Iss. 1, pp. 15-15
Open Access | Times Cited: 6
An offbeat bolstered swarm integrated ensemble learning (BSEL) model for heart disease diagnosis and classification
R. Subathra, V. Sumathy
Applied Soft Computing (2024) Vol. 154, pp. 111273-111273
Closed Access | Times Cited: 5
Heart Disease Prediction Using GridSearchCV and Random Forest
Shagufta Rasheed, Girish Kumar, D Malathi Rani, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 5
Hallucinations in Large Language Models (LLMs)
G. Pradeep Reddy, Y. V. Pavan Kumar, Purna Prakash Kasaraneni
(2024), pp. 1-6
Closed Access | Times Cited: 4
Hybrid machine learning techniques based on genetic algorithm for heart disease detection
Ankur Kumar, Sanjay Dhanka, Jaspreet Singh, et al.
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 4
Seasonal Land Use and Land Cover Mapping in South American Agricultural Watersheds Using Multisource Remote Sensing: The Case of Cuenca Laguna Merín, Uruguay
Giancarlo Alciaturi, Shimon Wdowinski, María del Pilar García Rodríguez, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 228-228
Open Access
Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data
Kranthi Kumar Lella, K. G. Suma, Pamula Udayaraju, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Motorcycle Parking Violation Detection System Using YOLOv7 with Region of Interest Mapping and Object Area Calculation
Haerunnisya Makmur, Wulandari Wulandari, Muhammad Fajar B, et al.
Advances in Technology Innovation (2025) Vol. 10, Iss. 1, pp. 29-43
Open Access
Machine Learning-Based Stacking Ensemble Model for Prediction of Heart Disease with Explainable AI and K-Fold Cross-Validation: A Symmetric Approach
Shamsuddin Sultan, Nadeem Javaid, Nabil Alrajeh, et al.
Symmetry (2025) Vol. 17, Iss. 2, pp. 185-185
Open Access
Application of artificial intelligence in pioneering heart disease detection
Susmita Sikdar, Palash Swarnakar, Partha Sarathi Swarnakar
Elsevier eBooks (2025), pp. 93-114
Closed Access
Cyclical hybrid imputation technique for missing values in data sets
Kurban Kotan, Serdar KIRIŞOĞLU
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Transfer learning-based hybrid VGG16-machine learning approach for heart disease detection with explainable artificial intelligence
Eshetie Gizachew Addisu, Tahayu Gizachew Yirga, Hailu Gizachew Yirga, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire
Mateus Mendonça Ramos Simões, Filipe Rocha Lima, Helena Barbosa Lugão, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Heart Disease Analysis and Prediction with Machine Learning Techniques Using Cleveland Dataset
Kalpana Govindaraju, Govindaraju Kalimuthu
Communications in computer and information science (2025), pp. 20-43
Closed Access
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