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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:

Applications of artificial intelligence and machine learning in heart failure
Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer, et al.
European Heart Journal - Digital Health (2022) Vol. 3, Iss. 2, pp. 311-322
Open Access | Times Cited: 66

Showing 51-75 of 66 citing articles:

Development of Support Vector Machines in The Classification of Coronary Artery Disease with Gray Wolf Optimization Based Feature Selection Method
Büşra Er, Uğur Fidan
Eskişehir Türk Dünyası Uygulama ve Araştırma Merkezi Bilişim Dergisi (2024) Vol. 5, Iss. 1, pp. 37-44
Open Access
Beat-to-beat alterations of acoustic intensity and frequency at the maximum power of heart sounds are associated with NT-proBNP levels
Kazuhiro Fujiyoshi, Minako Yamaoka‐Tojo, Kanako Fujiyoshi, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access
A sensitivity indicator screening and intelligent classification method for the diagnosis of T2D-CHD
Jiarui Li, Changjiang Ying
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access
Advancement in AI-Based Devices for Monitoring Heart Health in Patients with Cardiac Conditions
Naitik Anand
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 05, pp. 1-5
Open Access
A machine learning-based lung ultrasound algorithm for the diagnosis of acute heart failure
Stefano Coiro, Claire Lacomblez, Kévin Duarte, et al.
Internal and Emergency Medicine (2024) Vol. 19, Iss. 8, pp. 2309-2318
Closed Access
Artificial Intelligence Applications in Health
Ebru Uğraş Tiryaki, Erhan Şimşek
Arşiv Kaynak Tarama Dergisi (2024) Vol. 33, Iss. 2, pp. 98-105
Open Access
Prognosis and Preception of Senile Systematic Amyloidosis Using Deep Convolutional Network
D. Raghu Raman, V. Jayabarathi, B. Parkavi
(2024), pp. 1-5
Closed Access
Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery
Frederick Lang, Benjamin C. Lee, Dor Lotan, et al.
Methodist DeBakey Cardiovascular Journal (2024) Vol. 20, Iss. 4, pp. 76-87
Open Access
Digital health technologies and artificial intelligence in cardiovascular clinical trials: A landscape of the European space
Fabio Lampreia, Catarina Madeira, Hélder Dores
Digital Health (2024) Vol. 10
Open Access
Artificial intelligence based real-time prediction of imminent heart failure hospitalisation in patients undergoing non-invasive telemedicine
Nils Hinrichs, Alexander Meyer, Kerstin Koehler, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access
Clinical Decision Support Tools for Optimizing Guideline-Directed Medical Therapy for Heart Failure
Tien M. H. Ng
JACC Advances (2023) Vol. 2, Iss. 3, pp. 100354-100354
Open Access
One step towards tailor‐made medicine for patients with heart failure
Ryo Naito, Takatoshi Kasai
European Journal of Heart Failure (2023) Vol. 25, Iss. 8, pp. 1254-1255
Closed Access
Developing a Machine Learning Algorithm for Improved Management of Congestive Heart Failure Patients in the Emergency Department
Bah Karamo, Jallow Amadou Wurry, Adama Ns Bah, et al.
Journal of Cardiology and Cardiovascular Medicine (2023) Vol. 8, Iss. 3, pp. 142-151
Open Access
Prediction of Antimicrobial Efficacy of Direct Cold Atmospheric Plasma Treatment via Ensemble Learning-based Regression Models
Elcin Erkal, Gizem Dilara Özdemir, Mehmet Akif Özdemir, et al.
2020 Medical Technologies Congress (TIPTEKNO) (2023), pp. 1-4
Closed Access
Deciphering a decision support tool (CoDE-HF) to improve the diagnosis of acute heart failure
Rocco Vergallo, Massimo Volpe
European Heart Journal (2022) Vol. 43, Iss. 33, pp. 3098-3099
Closed Access
A New Medical Decision Support System for Diagnosing HFrEF and HFpEF Using ECG and Machine Learning Techniques
Pınar Özen Kavas, Mehmet Recep Bozkurt, İbrahim Kocayiğit, et al.
IEEE Access (2022) Vol. 10, pp. 107283-107292
Open Access
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