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:

Latest trends on heart disease prediction using machine learning and image fusion
Manoj Diwakar, Amrendra Tripathi, Kapil Joshi, et al.
Materials Today Proceedings (2020) Vol. 37, pp. 3213-3218
Closed Access | Times Cited: 150

Showing 1-25 of 150 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: 98
Heart disease risk prediction using deep learning techniques with feature augmentation
María Teresa Garcí­a-Ordás, Martí­n Bayón-Gutiérrez, Carmen Benavides, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 20, pp. 31759-31773
Open Access | Times Cited: 42
An intelligent heart disease prediction system based on swarm-artificial neural network
Sudarshan Nandy, Mainak Adhikari, Venki Balasubramanian, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14723-14737
Closed Access | Times Cited: 96
Enhanced Heart Disease Prediction Based on Machine Learning and χ2 Statistical Optimal Feature Selection Model
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed, et al.
Designs (2022) Vol. 6, Iss. 5, pp. 87-87
Open Access | Times Cited: 63
A novel blockchain-enabled heart disease prediction mechanism using machine learning
Huru Hasanova, Muhammad Tufail, Ui-Jun Baek, et al.
Computers & Electrical Engineering (2022) Vol. 101, pp. 108086-108086
Closed Access | Times Cited: 53
An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population
Manjula Mandava, Surendra Reddy Vinta, Hritwik Ghosh, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access | Times Cited: 24
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
The severity prediction of the binary and multi-class cardiovascular disease − A machine learning-based fusion approach
Hafsa Binte Kibria, Abdul Matin
Computational Biology and Chemistry (2022) Vol. 98, pp. 107672-107672
Open Access | Times Cited: 35
Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)
Mohammed Alghamdi
Sustainability (2022) Vol. 14, Iss. 19, pp. 11982-11982
Open Access | Times Cited: 34
Predictive Classifier for Cardiovascular Disease Based on Stacking Model Fusion
Jimin Liu, Xueyu Dong, Huiqi Zhao, et al.
Processes (2022) Vol. 10, Iss. 4, pp. 749-749
Open Access | Times Cited: 28
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
Gaussian of Differences: A Simple and Efficient General Image Fusion Method
Rıfat Kurban
Entropy (2023) Vol. 25, Iss. 8, pp. 1215-1215
Open Access | Times Cited: 16
Survival prediction among heart patients using machine learning techniques
Abdulwahab Ali Almazroi
Mathematical Biosciences & Engineering (2021) Vol. 19, Iss. 1, pp. 134-145
Open Access | Times Cited: 36
A Method Noise-Based Convolutional Neural Network Technique for CT Image Denoising
Prabhishek Singh, Manoj Diwakar, Reena Gupta, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3535-3535
Open Access | Times Cited: 22
Prediction and diagnosis of cardiovascular disease using cloud and machine learning design
Kunda Suresh Babu, A. Gokula Chandar, S. Kannadhasan
Journal of Cloud Computing Advances Systems and Applications (2025) Vol. 14, Iss. 1
Open Access
A data-driven problem-solving approach to performance improvement in healthcare systems: a case study in Tehran heart center hospital
Mohammad Masoud Nakhostin, Fariborz Jolai, Esmaeil Hadavandi, et al.
Business Process Management Journal (2025)
Closed Access
Low-dose COVID-19 CT Image Denoising Using CNN and its Method Noise Thresholding
Prabhishek Singh, Manoj Diwakar, Neeraj Kumar Pandey, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2022) Vol. 19, Iss. 2, pp. 182-193
Closed Access | Times Cited: 21
Enhanced accuracy for heart disease prediction using artificial neural network
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 29, Iss. 1, pp. 375-375
Open Access | Times Cited: 21
WITHDRAWN: Medical oxygen supply during COVID-19: A study with specific reference to State of Andhra Pradesh, India
Srinivas Bikkina, Vijaya Kittu Manda, U.V. Adinarayana Rao
Materials Today Proceedings (2021)
Open Access | Times Cited: 23
Comparative Analysis of Deep Learning-Based Brain Tumor Prediction Models Using MRI Scan
Syam Machinathu Parambil Gangadharan, M. Dharani, Nitin Thapliyal, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 10
Prediction of Heart Diseases by Using Supervised Machine Learning Algorithms
Saleh Mahdi Muhammed, Ghassan H. Abdul-Majeed, Mahmoud Shuker Mahmoud
Wasit Journal of Pure sciences (2023) Vol. 2, Iss. 1, pp. 231-243
Open Access | Times Cited: 9
A Review of Machine Learning Techniques Used in the Prediction of Heart Disease
Chilkaragi Shankar Chaithra, S Siddesha, V. N. Manjunath Aradhya, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 201-212
Open Access | Times Cited: 3
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
Integrating explainable machine learning and user-centric model for diagnosing cardiovascular disease: A novel approach
Gangani Dharmarathne, Madhusha Bogahawaththa, Upaka Rathnayake, et al.
Intelligent Systems with Applications (2024) Vol. 23, pp. 200428-200428
Open Access | Times Cited: 3
Speech Recognition with Deep Learning
Lokesh Khurana, Arun Chauhan, Mohd Naved, et al.
Journal of Physics Conference Series (2021) Vol. 1854, Iss. 1, pp. 012047-012047
Open Access | Times Cited: 19
Page 1 - Next Page

Scroll to top