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:

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 26-50 of 42 citing articles:

Fused Feature Reduction and Selection System for Early Lung Cancer Detection
Suman Antony Lasrado, G N K Suresh Babu
(2024), pp. 1-8
Closed Access

External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events
Gilson Shimizu, Elen Almeida Romão, José Abrão Cardeal da Costa, et al.
(2024), pp. 140-145
Closed Access

Optimized CNN-BiLSTM with Attention: A High Performance Model for Predicting Heart Disease Using Cleveland and Framingham Datasets
K. Kayalvizhi, S Kanchana, Silvia Priscila S, et al.
Journal of Machine and Computing (2024), pp. 1195-1205
Closed Access

Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability
Gilson Shimizu, Michael Schrempf, Elen Almeida Romão, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0311719-e0311719
Open Access

Prognostic Stratification of Familial Hypercholesterolemia Patients Using AI Algorithms: A Gender-Specific Approach
Alberto Zamora, L. Masana, Fernando Civeira, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Machine Learning for Disease Prediction: An Overview
Shalini Priya, D Amuthaguka
(2024), pp. 1726-1731
Closed Access

Enhancing the Heart Disease Classification Using Multi-level Perceptron and Principal Component Analysis
V. K. Jaiswal, Sanyam Gupta, Shilpa Gupta, et al.
Lecture notes in networks and systems (2024), pp. 118-132
Closed Access

Modified Deep Neural Network Approach to Identify Heart Disease using IoMT: Artificial Neural Networks or Convolutional Neural Networks!
Debasish Swapnesh Kumar Nayak, Ankita Priyadarshini, P. Mahanta, et al.
(2024), pp. 1-6
Closed Access

Comparative Analysis of Machine Learning Techniques for Heart Disease Prediction
N. Susitha, H. Selvi, Nikhil Kumar, et al.
(2023), pp. 496-500
Closed Access | Times Cited: 1

Advanced Predictive Model for Cardiovascular Diseases Using Machine Learning
V. Viswanath Shenoi, N Varshitha, Shaik Ashma, et al.
(2024), pp. 01-06
Closed Access

Cardiovascular Disease Prediction Using Langchain
K Ananthajothi, Joshua A. David, A Kavin
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access

HEARTFIT: Heart Disease Prediction Using Machine Learning Techniques
Priyanka Pandey, Naman Gupta, Harsh Kumar, et al.
(2024), pp. 1-6
Closed Access

Optimizing Heart Disease Prediction Using a Hybrid Dynamic Swarm Evolution Approach
V.N. Parikh, Bhoomi Sharma, Arnav Byotra, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access

Machine Learning Approach to Predict Cardiovascular Disease in Bangladesh: Evidence from a Cross-Sectional Study in 2023.
Sorif Hossain, Mohammad Kamrul Hasan, Mohammad Omar Faruk, et al.
Research Square (Research Square) (2023)
Open Access

Case Study on Early-Stage Risk Prediction by Machine Learning Algorithms
Et al. T. Deepthi
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 4315-4320
Open Access

Heart Disease Analysis and Prediction Using EDA and ML Classifiers
Humra Khan, Pawan Singh
(2023), pp. 1-6
Closed Access

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