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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:

Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure
Cameron Olsen, Robert J. Mentz, Kevin J. Anstrom, et al.
American Heart Journal (2020) Vol. 229, pp. 1-17
Closed Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

The Recent Progress and Applications of Digital Technologies in Healthcare: A Review
Maksut Senbekov, Timur Saliev, Zhanar Bukeyeva, et al.
International Journal of Telemedicine and Applications (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 261
Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.
Mathematics (2021) Vol. 9, Iss. 22, pp. 2970-2970
Open Access | Times Cited: 122
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: 43
Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review
Ezekwesiri Michael Nwanosike, Barbara R. Conway, Hamid A. Merchant, et al.
International Journal of Medical Informatics (2021) Vol. 159, pp. 104679-104679
Open Access | Times Cited: 81
A second-generation artificial intelligence-based therapeutic regimen improves diuretic resistance in heart failure: Results of a feasibility open-labeled clinical trial
Ram Gelman, Noa Hurvitz, Rima Nesserat, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 161, pp. 114334-114334
Open Access | Times Cited: 23
Machine learning algorithms for predicting outcomes of traumatic brain injury: A systematic review and meta-analysis
Evan Courville, Syed Faraz Kazim, John Vellek, et al.
Surgical Neurology International (2023) Vol. 14, pp. 262-262
Open Access | Times Cited: 22
Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 7
Early prediction of math difficulties with the use of a neural networks model.
Maria Psyridou, Tuire Koponen, Asko Tolvanen, et al.
Journal of Educational Psychology (2024) Vol. 116, Iss. 2, pp. 212-232
Open Access | Times Cited: 6
Machine Learning for Prediction of Cardiovascular Disease and Respiratory Disease: A Review
Gaurav Parashar, Alka Chaudhary, Dilkeshwar Pandey
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 6
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review
Vilson Soares de Siqueira, Moisés Marcos Borges, Rogério Gomes Furtado, et al.
Artificial Intelligence in Medicine (2021) Vol. 120, pp. 102165-102165
Closed Access | Times Cited: 34
Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study
Boshu Ru, Xi Tan, Yu Liu, et al.
JMIR Formative Research (2023) Vol. 7, pp. e41775-e41775
Open Access | Times Cited: 16
Racial Equity in Healthcare Machine Learning: Illustrating Bias in Models With Minimal Bias Mitigation
Michael Bartoň, M Hamza, Borna Guevel
Cureus (2023)
Open Access | Times Cited: 14
An Intelligent Disease Prediction and Drug Recommendation Prototype by Using Multiple Approaches of Machine Learning Algorithms
Suvendu Kumar Nayak, Mamata Garanayak, Sangram Keshari Swain, et al.
IEEE Access (2023) Vol. 11, pp. 99304-99318
Open Access | Times Cited: 14
AI hybrid survival assessment for advanced heart failure patients with renal dysfunction
Ge Zhang, Zeyu Wang, Zhuang Tong, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Artificial Intelligence Hybrid Survival Assessment System for Robot-Assisted Proctectomy: A Retrospective Cohort Study
Shiqian Zhang, Ge Zhang, Ming Wang, et al.
JCO Precision Oncology (2024), Iss. 8
Closed Access | Times Cited: 5
Artificial intelligence for heart disease prediction and imputation of missing data in cardiovascular datasets
Ahmed Najim, Nejah Nasri
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study
Soonil Kwon, SooMin Chung, So‐Ryoung Lee, et al.
Digital Health (2025) Vol. 11
Open Access
Identifying miRNA biomarkers for breast cancer and ovarian cancer: a text mining perspective
Xin Li, Andrea Dai, Richard Tran, et al.
Breast Cancer Research and Treatment (2023) Vol. 201, Iss. 1, pp. 5-14
Closed Access | Times Cited: 9
HypGB: High Accuracy GB Classifier for Predicting Heart Disease With HyperOpt HPO Framework and LASSO FS Method
Abbas Jafar, Myungho Lee
IEEE Access (2023) Vol. 11, pp. 138201-138214
Open Access | Times Cited: 9
Multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV
Sergio González, Abel Ko-Chun Yi, Wan‐Ting Hsieh, et al.
Information Fusion (2024) Vol. 107, pp. 102337-102337
Open Access | Times Cited: 3
Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction
Zhibo Wang, Xi Chen, Xi Tan, et al.
Journal of health economics and outcomes research (2021) Vol. 8, Iss. 2, pp. 6-13
Open Access | Times Cited: 23
Heart Failure Prediction with Machine Learning: A Comparative Study
Jing Wang
Journal of Physics Conference Series (2021) Vol. 2031, Iss. 1, pp. 012068-012068
Open Access | Times Cited: 18
Bibliometric analysis of 100 top cited articles of heart failure–associated diseases in combination with machine learning
Xuyuan Kuang, Zihao Zhong, Wei Liang, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 7
A highly accurate prediction for heart failure disease: a new deep attentive model with guided feature ranking
Doaa A. Altantawy, Sherif Kishk
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 9, pp. 12167-12201
Open Access | Times Cited: 2
A comprehensive review on heart disease prognostication using different artificial intelligence algorithms
A. Jainul Fathima, M. M. Noor
Computer Methods in Biomechanics & Biomedical Engineering (2024) Vol. 27, Iss. 11, pp. 1357-1374
Closed Access | Times Cited: 2
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