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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: 86

Showing 26-50 of 86 citing articles:

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
Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes
Giovanni D’Addio, Leandro Donisi, Giuseppe Cesarelli, et al.
Bioengineering (2021) Vol. 8, Iss. 10, pp. 138-138
Open Access | Times Cited: 20
Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning
Matej Pičulin, Tim Smole, Bojan Žunkovič, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 2, pp. e30483-e30483
Open Access | Times Cited: 13
Nanosensor Technologies and the Digital Transformation of Healthcare
Emem Udoh, Melody Hermel, M Bharmal, et al.
Personalized Medicine (2023) Vol. 20, Iss. 3, pp. 251-269
Closed Access | Times Cited: 7
Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review protocol
Joana Seringa, João Abreu, Teresa Magalhães
BMJ Open (2024) Vol. 14, Iss. 4, pp. e083188-e083188
Open Access | Times Cited: 2
Pre- and post-surgery: advancements in artificial intelligence and machine learning models for enhancing patient management in infective endocarditis
Ramez M. Odat, Mohammed Dheyaa Marsool Marsool, Dang Nguyen, et al.
International Journal of Surgery (2024) Vol. 110, Iss. 11, pp. 7202-7214
Open Access | Times Cited: 2
Machine Learning in Electrocardiography and Echocardiography: Technological Advances in Clinical Cardiology
Amanda Chang, Linda Cadaret, Kan Liu
Current Cardiology Reports (2020) Vol. 22, Iss. 12
Closed Access | Times Cited: 18
Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research
Vasiliki Bikia, Terence S. Fong, Rachel E. Climie, et al.
European Heart Journal - Digital Health (2021) Vol. 2, Iss. 4, pp. 676-690
Open Access | Times Cited: 16
Inside the “black box”: Embedding clinical knowledge in data-driven machine learning for heart disease diagnosis
James Meng, Ruiming Xing
Cardiovascular Digital Health Journal (2022) Vol. 3, Iss. 6, pp. 276-288
Open Access | Times Cited: 11
Artificial intelligence, big data and machine learning approaches in genome-wide SNP-based prediction for precision medicine and drug discovery
Isha Joshi, Anushka Bhrdwaj, Ravina Khandelwal, et al.
Elsevier eBooks (2023), pp. 333-357
Closed Access | Times Cited: 6
Electrocardiogram scoring beyond the routine analysis: subtle changes matters
Illya Chaikovsky
Expert Review of Medical Devices (2020) Vol. 17, Iss. 5, pp. 379-382
Open Access | Times Cited: 17
A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging
Rosario Megna, Mario Petretta, Roberta Assante, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 14
Coronary Stent Infections — A Systematic Review and Meta-Analysis
Venkatakrishnan Ramakumar, Abhishek Thakur, Rizwan Suliankatchi Abdulkader, et al.
Cardiovascular revascularization medicine (2023) Vol. 54, pp. 16-24
Closed Access | Times Cited: 5
Towards Autonomous Healthcare: Integrating Artificial Intelligence (AI) for Personalized Medicine and Disease Prediction
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 5
Artificial Intelligence and Machine Learning
Fawzi Zghyer, Sharan Yadav, Mohamed B. Elshazly
Springer eBooks (2021), pp. 133-148
Closed Access | Times Cited: 11
Deep learning from latent spatiotemporal information of the heart: Identifying advanced bioimaging markers from echocardiograms
Amanda Chang, Xiaodong Wu, Kan Liu
Biophysics Reviews (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 1
Applications of artificial intelligence-powered prenatal diagnosis for congenital heart disease
Xiangyu Liu, Yingying Zhang, Haogang Zhu, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Prediction of post-delivery hemoglobin levels with machine learning algorithms
Sepehr Aghajanian, Kyana Jafarabady, Mohammad Ali Abbasi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Deep Learning for Cardiac Imaging: Focus on Myocardial Diseases: A Narrative Review
Theodoros Tsampras, Theodora Karamanidou, Giorgos Papanastasiou, et al.
Hellenic Journal of Cardiology (2024)
Open Access | Times Cited: 1
Machine learning-based predictive models for perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery
Liang Shen, Yunpeng Jin, AXiang Pan, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 260, pp. 108561-108561
Closed Access | Times Cited: 1
Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the “RegulaRN Leitos Gerais” platform
Tiago de Oliveira Barreto, Fernando Lucas de Oliveira Farias, Nícolas Vinícius Rodrigues Veras, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0315379-e0315379
Open Access | Times Cited: 1
Machine Learning Algorithms for Predicting Coronary Artery Disease: Efforts Toward an Open Source Solution
Arvind B. Akella, Vibhor Kaushik
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 11
Machine learning applications in gynecological cancer: A critical review
Oraianthi Fiste, Michalis Liontos, Flora Zagouri, et al.
Critical Reviews in Oncology/Hematology (2022) Vol. 179, pp. 103808-103808
Closed Access | Times Cited: 7
Computational Models Used to Predict Cardiovascular Complications in Chronic Kidney Disease Patients: A Systematic Review
Alexandru Burlacu, Adrian Iftene, Iolanda Valentina Popa, et al.
Medicina (2021) Vol. 57, Iss. 6, pp. 538-538
Open Access | Times Cited: 9
Limiting conditions prediction using machine learning for loss of condenser vacuum event
Donghun Shin, Moon‐Ghu Park, Hae-Yong Jeong, et al.
Nuclear Engineering and Technology (2023) Vol. 55, Iss. 12, pp. 4607-4616
Open Access | Times Cited: 3

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