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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:

An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
Pooja Rani, Rajneesh Kumar, Anurag Jain, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3331-3349
Closed Access | Times Cited: 20

Showing 20 citing articles:

Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
Ibomoiye Domor Mienye, Nobert Jere
Information (2024) Vol. 15, Iss. 7, pp. 394-394
Open Access | Times Cited: 19
EBHOA-EMobileNetV2: a hybrid system based on efficient feature selection and classification for cardiovascular disease diagnosis
Manjula Mandava, Surendra Reddy Vinta
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-23
Closed Access
Enhancing Heart Disease Diagnosis with Meta-Heuristic Algorithms: A Combined HHO and PSO Approach
Farzana Begum, J. Arul Valan
Deleted Journal (2025)
Closed Access
A proximal policy optimisation algorithm-based algorithm for cardiovascular disorders detection
Yingjie Niu, Xianchuang Fan, Rui Xue
Journal of Medical Engineering & Technology (2025), pp. 1-20
Closed Access
Min–Max Filtering and Exponential Fossa Optimization Algorithm–Based Parallel Convolutional Neural Network for Heart Disease Detection
S. Aathilakshmi, S. Balasubramaniam, T. A. Sivakumar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open 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
The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review
Luís B. Elvas, Ana Isabel Almeida, João C. Ferreira
JMIR Medical Informatics (2025) Vol. 13, pp. e64349-e64349
Open Access
Exploring Healthcare and Public Health Implications via Temporal Analysis of Human–Virus Interactions Leveraging Adversarial Networks and Saliency Maps
N Srivastava, Logesh Ravi, Malathi Devarajan, et al.
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
A Systematic Review on Machine Learning Intelligent Systems for Heart Disease Diagnosis
Abhinav Sharma, Sanjay Dhanka, Ankur Kumar, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
An Automatic Simulation of MRI using Adaptive Unsupervised Mapping
Karan Aggarwal, Isha Suwalka, Harishchander Anandaram, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition, pp. 73-83
Open Access
Optimized convolutional neural network using grasshopper optimization technique for enhanced heart disease prediction
Sanjeeva Polepaka, R. P. Ram Kumar, Deepthi Palakurthy, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A smart CardioSenseNet framework with advanced data processing models for precise heart disease detection
R. Subathra, V. Sumathy
Computers in Biology and Medicine (2024) Vol. 185, pp. 109473-109473
Closed Access | Times Cited: 2
Design and Development of an Efficient Explainable AI Framework for Heart Disease Prediction
Deepika Tenepalli, T. M. Navamani
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 1
Prediction Of Cardiovascular Disorders Using Machine Learning
P. Bhuvana, Bheema Rohith, Battagiri Mohana Swathi, et al.
(2024)
Open Access
CSA-DE-LR: enhancing cardiovascular disease diagnosis with a novel hybrid machine learning approach
Beyhan Adanur Dedetürk, Bilge Kagan Dedetürk, Burcu Bakır-Güngör
PeerJ Computer Science (2024) Vol. 10, pp. e2197-e2197
Open Access
Towards Proactive Heart Health: A Machine Learning - Powered Approach for Chronic Heart Failure Detection
Mawuli Agboklu, Benjamin Lartey, Frederick Adrah, et al.
International Journal of Computer Applications (2024) Vol. 186, Iss. 28, pp. 30-35
Open Access
Hybrid CNN-LSTM Framework for Enhanced Congestive Heart Failure Diagnosis: Integrating GQRS Detection
A. T. Oza, Sanskriti Patel, Bhavesh Gyanchandani, et al.
Lecture notes in computer science (2024), pp. 422-437
Closed Access
Advanced Framework for Early Congestive Heart Failure Detection Using Electrocardiogram Data and Ensemble Learning Models
A. T. Oza, Sanskriti Patel, Abhishek Shrivastava, et al.
Lecture notes in computer science (2024), pp. 370-385
Closed Access
A Novel Multimodal Framework for Early Detection of Congestive Heart Failure using Ensemble Learning based Fusion Approach
A. T. Oza, Sanskriti Patel, Bhavesh Gyanchandani, et al.
(2024), pp. 1-6
Closed Access
Advancing Early Detection of Congestive Heart Failure Using BiLSTM Networks: A Robust Clinical Framework
A. T. Oza, Sanskriti Patel, Bhavesh Gyanchandani, et al.
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2024), pp. 764-767
Closed Access
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