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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:

Stacking ensemble based hyperparameters to diagnosing of heart disease: Future works
Alfredo Daza Vergaray, Juana Bobadilla Cornelio, Juan Carlos Herrera, et al.
Results in Engineering (2024) Vol. 21, pp. 101894-101894
Open Access | Times Cited: 11

Showing 11 citing articles:

Applying ensemble machine learning models to predict hydrogen production rates from conventional and novel solar PV/T water collectors
Sridharan Mohan
International Journal of Hydrogen Energy (2025) Vol. 102, pp. 1377-1398
Closed Access | Times Cited: 2
A Hybrid Multiscale Feature Fusion Model For Enhanced Cardiovascular Arrhythmia Detection
Md. Alamin Talukder
Results in Engineering (2025), pp. 104244-104244
Open Access | Times Cited: 2
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
Deep hybrid architecture with stacked ensemble learning for binary classification of retinal disease
C. Priyadharsini, Asnath Victy Phamila Y
Results in Engineering (2024), pp. 103219-103219
Open Access | Times Cited: 4
Utilizing Voting Classifiers for Enhanced Analysis and Diagnosis of Cardiac Conditions
Mohamed S. Elgendy, Hossam El-Din Moustafa, Hala B. Nafea, et al.
Results in Engineering (2025), pp. 104636-104636
Open Access
Sleep stages detection based on analysis and optimisation of non-linear brain signal parameters
Abdeljalil El Hadiri, Lhoussain Bahatti, Abdelmounime El Magri, et al.
Results in Engineering (2024) Vol. 23, pp. 102664-102664
Open Access | Times Cited: 2
A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
Karna Vishnu Vardhana Reddy, K. Viswavardhan Reddy, Varaprasad Janamala, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 1
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction
Md Masud Karim Rabbi, MA Bari, Tanoy Debnath, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107138-107138
Closed Access | Times Cited: 1
Design for Electrical Energy Storage System Using Machine Learning Application
Takveer Singh
(2024), pp. 1076-1080
Closed Access
The Coronary Atherosclerosis Detection: A Diagnostic Approach of Digital Electrocardiography Image Interpretation
Firna Yenila, Yuhandri Yunus, Okfalisa
(2024) Vol. 665, pp. 491-497
Closed Access
Designing a hybrid stack ensemble model to enhance sepsis classification using data triangulation approach
PARVIN A SAFIYA, B. Saleena
Results in Engineering (2024), pp. 103748-103748
Open Access
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