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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:

A systematic mapping study for ensemble classification methods in cardiovascular disease
Mohamed Hosni, Juan Manuel Carrillo de Gea, Ali Idri, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 4, pp. 2827-2861
Closed Access | Times Cited: 18

Showing 18 citing articles:

Risk assessment of coronary heart disease based on cloud-random forest
Jing Wang, Congjun Rao, Mark Goh, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 1, pp. 203-232
Closed Access | Times Cited: 78
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review
Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 722-722
Open Access | Times Cited: 43
Ensemble blood glucose prediction in diabetes mellitus: A review
Mohamed Zaim Wadghiri, Ali Idri, Touria El Idrissi, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105674-105674
Closed Access | Times Cited: 30
Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study
Tim Dong, Shubhra Sinha, Ben Zhai, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 11
Multi-Class Imbalanced Data Classification: A Systematic Mapping Study
Yujiang Wang, Marshima Mohd Rosli, Norzilah Musa, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 14183-14190
Open Access | Times Cited: 4
Automatic Classification of Cardiac Arrhythmias Using Deep Learning Techniques: A Systematic Review
Fernando Vásquez-Iturralde, Marco Flores-Calero, Felipe Grijalva, et al.
IEEE Access (2024) Vol. 12, pp. 118467-118492
Open Access | Times Cited: 2
Cardiovascular Disease Prediction using Ensemble Learning Techniques: A Stacking Approach
Zahiriddin Rustamov, Jaloliddin Rustamov, Most Sarmin Sultana, et al.
(2023)
Closed Access | Times Cited: 5
Characterizing advanced heart failure risk and hemodynamic phenotypes using interpretable machine learning
Josephine Lamp, Yuxin Wu, Steven Lamp, et al.
American Heart Journal (2024) Vol. 271, pp. 1-11
Closed Access | Times Cited: 1
BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson’s Disease
Seffi Cohen, Nurit Cohen-Inger, Lior Rokach
Information (2024) Vol. 15, Iss. 12, pp. 822-822
Open Access | Times Cited: 1
Enhancing Cardiovascular Disease Prediction: A Domain Knowledge-Based Feature Selection and Stacked Ensemble Machine Learning Approach
Zahiriddin Rustamov, Jaloliddin Rustamov, Nazar Zaki, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
A Systematic Mapping Study on Ensemble-Based Classifier
Jafhate Edward, Marshima Mohd Rosli
(2021), pp. 43-48
Closed Access | Times Cited: 4
Decision Support System Based on Machine Learning Techniques to Diagnosis Heart Disease Using Four-Lead ECG Recordings
Mohamed Hosni, Ibtissam Medarhri, Soufiane Touiti, et al.
Lecture notes in networks and systems (2024), pp. 121-130
Closed Access
Ensemble Regression for Blood Glucose Prediction
Mohamed Zaim Wadghiri, Ali Idri, Touria El Idrissi
Advances in intelligent systems and computing (2021), pp. 544-554
Closed Access | Times Cited: 2
SMOTEMultiBoost: Leveraging the SMOTE with MultiBoost to Confront the Class Imbalance in Supervised Learning
Naveed Jhamat, Ghulam Mustafa, Zhendong Niu
Journal of Information Communication Technologies and Robotic Applications (2020), pp. 8-21
Open Access | Times Cited: 1
An Ensemble approach for Ensemble-Modelled Cardiac Surgery Risk Evaluation, Data Usage and Clinical Interpretability
Gianni D. Angelini, Tim Dong, Shubhra Sinha, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Early Heart Disease Detection with Extreme Data Approach using Ensemble Learning Techniques
Gnaneswari Kancherla, Srinivasa Panchavedi Gopamsana, Bhaskar Reddy Yadamakanti, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 1133-1140
Closed Access
Clustering algorithms for analysing electronic medical record: A mapping study
S. Shah, Marshima Mohd Rosli
IAES International Journal of Artificial Intelligence (2023) Vol. 12, Iss. 4, pp. 1784-1784
Open Access
Performance analysis of machine learning algorithms: Single Model VS Ensemble Model
Arti Pawar, Manjula Shenoy K, Srikanth Prabhu, et al.
Journal of Physics Conference Series (2023) Vol. 2571, Iss. 1, pp. 012007-012007
Open Access
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