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:

Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases
Adedayo Ogunpola, Faisal Saeed, Shadi Basurra, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 144-144
Open Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

Modern Methods and Prospects for Using Artificial Intelligence in Disease Diagnostics: A Narrative Review
Rayisa Yuriy, Olha Тatarina, Valery Kaminskyy, et al.
Futurity Medicine. (2024) Vol. 3, Iss. 4
Closed Access | Times Cited: 1

Computational Biology in the Discovery of Biomarkers in the Diagnosis, Treatment and Management of Cardiovascular Diseases
Irene Batta, Ritika Patial, Ranbir Chander Sobti, et al.
Cardiology and Cardiovascular Medicine (2024) Vol. 8, Iss. 5
Closed Access | Times Cited: 1

Comparative Analysis of Random Forest and Logistic Regression for Heart Attack Risk Prediction
Nilakshman Sooriyaperakasam, Hassan Emami, Parinaz Entezam, et al.
Deleted Journal (2024) Vol. 3, Iss. 5, pp. 18-23
Closed Access | Times Cited: 1

Classification and Diagnosis of Heart Disease Using Machine Learning
‪Ayedh Abdulaziz Mohsen‬‏, Naoufel Kharroubi, Taher Alrashahy, et al.
Research Square (Research Square) (2024)
Open Access

Classification and Diagnosis of Heart Disease Using Machine Learning
‪Ayedh Abdulaziz Mohsen‬‏, Naoufel Kharroubi, Taher Alrashahy, et al.
Research Square (Research Square) (2024)
Open Access

Prediction Of Cardiovascular Disorders Using Machine Learning
P. Bhuvana, Bheema Rohith, Battagiri Mohana Swathi, et al.
(2024)
Open Access

Enhancing Clinical Validation for Early Cardiovascular Disease Prediction through Simulation, AI, and Web Technology
Md Abu Sufian, Wahiba Hamzi, S Zaman, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1308-1308
Open Access

Assessment of Cardiovascular Disease Using Machine Learning
Divya Adusumilli, Sree Lakshmi Damineni, K. Swathi, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 3, pp. 1035-1043
Open Access

A Machine Learning Approach for Detection of Heart Diseases Using Wearable Devices
Spandiyar Abutalip, Meirzhan Baikuvekov, Duisen Zanggar
(2024), pp. 266-271
Closed Access

Machine Learning Based Approach to Identify Predictive Signal Models
Guona Chen, Yixuan Guo
Academic Journal of Science and Technology (2024) Vol. 12, Iss. 1, pp. 199-203
Open Access

OPTIMIZING GENETIC ALGORITHMS FOR PREDICTIVE MODELING IN MEDICAL DIAGNOSTICS

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access

LOGISTIC REGRESSION TECHNIQUE FOR CARDIOVASCULAR DISEASE PREDICTION
Anthony M. Nwohiri, Adeyemi A. Laguda, Abidemi A. Olanite, et al.
FUDMA Journal of Sciences (2024) Vol. 8, Iss. 4, pp. 266-275
Open Access

Detection of Myocardial Infarction Using Ensemble Classifiers
Tarun Akula, A Akula, Alfred A. Christy
(2024), pp. 472-483
Closed Access

Boosting medical diagnostics with a novel gradient-based sample selection method
Samet Aymaz
Computers in Biology and Medicine (2024) Vol. 182, pp. 109165-109165
Closed Access

A decade’s overview of artificial intelligence in diagnosing: a scoping review
Vimala Balakrishnan, Zahiriddin Rustamov, Ghayathri Ramanathan, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access

Optimized robust learning framework based on big data for forecasting cardiovascular crises
Nadia G. Elseddeq, Sally M. Elghamrawy, Ali I. El-Desouky, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

The Use of Machine Learning Models with Optuna in Disease Prediction
Lee‐Lun Lai, Ying-Lei Lin, Yuhui Liu, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4775-4775
Open Access

Identifying Demographic and Clinical Determinants of Ischemic Workup in Patients with Heart Failure
Kristen M. John, Peter Wenn, Ofek Hai, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 23, pp. 7279-7279
Open Access

A novel recommender framework with chatbot to stratify heart attack risk
Tursun Wali, Almat Bolatbekov, Ehesan Maimaitijiang, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access

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