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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:

Artificial Intelligence in Congenital Heart Disease
Pei‐Ni Jone, Addison Gearhart, Howard Lei, et al.
JACC Advances (2022) Vol. 1, Iss. 5, pp. 100153-100153
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases
Mohamad‐Hani Temsah, Abdullah Alhuzaimi, Mohammed Almansour, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 18
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling
Joshua Mayourian, William La Cava, Akhil Vaid, et al.
Circulation (2024) Vol. 149, Iss. 12, pp. 917-931
Closed Access | Times Cited: 15
The Role of Artificial Intelligence in Prediction, Risk Stratification, and Personalized Treatment Planning for Congenital Heart Diseases
Syed Naveed Mohsin, Abubakar Gapizov, Chukwuyem Ekhator, et al.
Cureus (2023)
Open Access | Times Cited: 32
Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review
Naiela E Almansouri, Mishael Awe, Selvambigay Rajavelu, et al.
Cureus (2024)
Open Access | Times Cited: 7
Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years
Elena Stamate, Alin Ionut Piraianu, Oana Roxana Ciobotaru, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1103-1103
Open Access | Times Cited: 7
How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?
Alice Pozza, Luca Zanella, Biagio Castaldi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 10, pp. 2996-2996
Open Access | Times Cited: 6
Deep learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study
Kotaro Miura, Ryuichiro Yagi, Hiroshi Miyama, et al.
EClinicalMedicine (2023) Vol. 63, pp. 102141-102141
Open Access | Times Cited: 15
A Generalized Machine Learning Model for Identifying Congenital Heart Defects (CHDs) Using ICD Codes
Haoming Shi, Wendy M. Book, Lindsey C. Ivey, et al.
Birth Defects Research (2025) Vol. 117, Iss. 2
Closed Access
Effects of Sociodemographic Factors on Access to and Outcomes in Congenital Heart Disease in the United States
Justin Robinson, Siddhartha Sahai, Caroline Pennacchio, et al.
Journal of Cardiovascular Development and Disease (2024) Vol. 11, Iss. 2, pp. 67-67
Open Access | Times Cited: 2
Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review
Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, et al.
Life (2023) Vol. 13, Iss. 4, pp. 1029-1029
Open Access | Times Cited: 5
The Lifelong Impact of Artificial Intelligence and Clinical Prediction Models on Patients With Tetralogy of Fallot
Xander Jacquemyn, Shelby Kutty, Cedric Manlhiot
CJC Pediatric and Congenital Heart Disease (2023) Vol. 2, Iss. 6, pp. 440-452
Open Access | Times Cited: 5
A cluster-based ensemble approach for congenital heart disease prediction
Ishleen Kaur, Tanvir Ahmad
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107922-107922
Closed Access | Times Cited: 4
Surgical Considerations in Adult Congenital Heart Disease Heart Failure
William H. Marshall, Patrick McConnell
Heart Failure Clinics (2024) Vol. 20, Iss. 2, pp. 199-208
Closed Access | Times Cited: 1
Democratizing Congenital Heart Disease Management
Sneha S. Jain, Pierre Elias, Daniel E. Clark
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 9, pp. 829-831
Closed Access | Times Cited: 1
Utility of Computed Tomography in Congenital Heart Disease
Prabhakar Rajiah, Satinder P. Singh, Harold Goerne
Advances in Clinical Radiology (2024) Vol. 6, Iss. 1, pp. 187-207
Closed Access
Fehlbildungsdiagnostik, Echokardiographie und Doppler im 2. Trimenon
Karim D. Kalache, Eva Ostermayer, Anna M. Dückelmann
Springer Reference Medizin (2024), pp. 185-204
Closed Access
Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases
Mohamad‐Hani Temsah, Abdullah Alhuzaimi, Mohammed Almansour, et al.
Research Square (Research Square) (2024)
Open Access
Fehlbildungsdiagnostik, Echokardiographie und Doppler im 2. Trimenon
Karim D. Kalache, Eva Ostermayer, Anna M. Dückelmann
Springer Reference Medizin (2024), pp. 1-20
Closed Access
Analysis of haemodynamics surrounding blood transfusions after the arterial switch operation: a pilot study utilising real-time telemetry high-frequency data capture
Matthew F. Mikulski, A. Linero, Daniel Stromberg, et al.
Cardiology in the Young (2024) Vol. 34, Iss. 5, pp. 1109-1116
Open Access
Introduction
Bruno Carpentieri, Paola Lecca
(2024), pp. 1-15
Closed Access
Artificial intelligence in pediatric cardiology: Where do we stand in 2024?
Supratim Sen, Sivasubramanian Ramakrishnan
Annals of Pediatric Cardiology (2024) Vol. 17, Iss. 2, pp. 93-96
Open Access
The molecular mechanisms of cardiac development and related diseases
Yingrui Li, Jianlin Du, Songbai Deng, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access
Internet of Things technologies in cardiovascular diseases diagnostics: Literature review and proposal
J. Srinivasan Prasath
Heart Vessels and Transplantation (2024) Vol. 8, Iss. Issue 4
Open Access
Artificial Intelligence in Fetal and Pediatric Echocardiography
Alan Wang, Tam Doan, Charitha D. Reddy, et al.
Children (2024) Vol. 12, Iss. 1, pp. 14-14
Open Access
Deep learning for COVID‐19 contamination analysis and prediction using ECG images on Raspberry Pi 4
Lotfi Mhamdi, Oussama Dammak, François Cottin, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 6, pp. 1858-1869
Closed Access | Times Cited: 1
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