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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:

Current applications of big data and machine learning in cardiology.
Renato Cuocolo, Teresa Perillo, Eliana De Rosa, et al.
PubMed (2019) Vol. 16, Iss. 8, pp. 601-607
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Addressing bias in big data and AI for health care: A call for open science
Natalia Norori, Qiyang Hu, Florence M. Aellen, et al.
Patterns (2021) Vol. 2, Iss. 10, pp. 100347-100347
Open Access | Times Cited: 390
Machine Learning in oncology: A clinical appraisal
Renato Cuocolo, Martina Caruso, Teresa Perillo, et al.
Cancer Letters (2020) Vol. 481, pp. 55-62
Closed Access | Times Cited: 155
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
Sarina Aminizadeh, Arash Heidari, Mahshid Dehghan, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102779-102779
Closed Access | Times Cited: 54
Machine Learning and Statistical Models to Predict Postpartum Hemorrhage
Kartik K. Venkatesh, Robert A. Strauss, Chad A. Grotegut, et al.
Obstetrics and Gynecology (2020) Vol. 135, Iss. 4, pp. 935-944
Open Access | Times Cited: 127
Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance
Silvia Romiti, Mattia Vinciguerra, Wael Saade, et al.
Cardiology Research and Practice (2020) Vol. 2020, pp. 1-8
Open Access | Times Cited: 81
Machine Learning Algorithms for Predicting Coronary Artery Disease: Efforts Toward an Open Source Solution
Arvind B. Akella, Sudheer Akella
Future Science OA (2021) Vol. 7, Iss. 6
Open Access | Times Cited: 74
Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis
Lorenzo Ugga, Teresa Perillo, Renato Cuocolo, et al.
Neuroradiology (2021) Vol. 63, Iss. 8, pp. 1293-1304
Open Access | Times Cited: 64
An earlier serial lactate determination analysis of cardiac arrest patients using a medical machine learning model
Mehmood Ali Mohammed, Murtuza Ali Mohammed, Vazeer Ali Mohammed, et al.
(2023), pp. 263-268
Closed Access | Times Cited: 38
Artificial intelligence in cardiology
Dipti Itchhaporia
Trends in Cardiovascular Medicine (2020) Vol. 32, Iss. 1, pp. 34-41
Closed Access | Times Cited: 60
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
Tim Smole, Bojan Žunkovič, Matej Pičulin, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104648-104648
Open Access | Times Cited: 42
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: 29
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
Emergence of Artificial Intelligence and Machine Learning Models in Sudden Cardiac Arrest: A Comprehensive Review of Predictive Performance and Clinical Decision Support
Hritvik Jain, Mohammed Dheyaa Marsool Marsool, Ramez M. Odat, et al.
Cardiology in Review (2024)
Closed Access | Times Cited: 5
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 5
Advancements in artificial intelligence-driven techniques for interventional cardiology
Zofia Rudnicka, Agnieszka Pręgowska, Kinga Glądys, et al.
Cardiology Journal (2024) Vol. 31, Iss. 2, pp. 321-341
Open Access | Times Cited: 4
Electrocardiogram image classification for six classes of heart diseases
Oluwafemi Ayotunde Oke, Nadire Çavuş
Iran Journal of Computer Science (2025)
Closed Access
Machine learning for risk prediction of acute kidney injury in patients with diabetes mellitus combined with heart failure during hospitalization
Guojing Li, Zhiqiang Zhao, Zongliang Yu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection
Ian DeTore, John Samsundar, Cleon Davis
(2025), pp. 1-6
Closed Access
Application of Machine Learning to Stomatology: A Comprehensive Review
Maolei Sun, Yun Liu, Guomin Liu, et al.
IEEE Access (2020) Vol. 8, pp. 184360-184374
Open Access | Times Cited: 30
Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble
Walid Ben Ali, Ahmad Pesaranghader, Robert Avram, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 25
Radiomics in Cardiovascular Disease Imaging: from Pixels to the Heart of the Problem
Gaia Spadarella, Teresa Perillo, Lorenzo Ugga, et al.
Current Cardiovascular Imaging Reports (2022) Vol. 15, Iss. 2, pp. 11-21
Open Access | Times Cited: 18
Artificial Intelligence in Cardiovascular Disease Prevention: Is it Ready for Prime Time?
Shyon Parsa, Sulaiman Somani, Ramzi Dudum, et al.
Current Atherosclerosis Reports (2024) Vol. 26, Iss. 7, pp. 263-272
Closed Access | Times Cited: 3
Telemedicine in Cardiology: Enhancing Access to Care and Improving Patient Outcomes
Oluwaremilekun Tolu-Akinnawo, Francis Ezekwueme, Toluwalase Awoyemi
Cureus (2024)
Open Access | Times Cited: 3
Big Data in Ophthalmology
Ching‐Yu Cheng, Zhi Da Soh, Shivani Majithia, et al.
Asia-Pacific Journal of Ophthalmology (2020) Vol. 9, Iss. 4, pp. 291-298
Open Access | Times Cited: 25
State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma
Anna Castaldo, Davide Raffaele De Lucia, Giuseppe Pontillo, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1194-1194
Open Access | Times Cited: 21
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