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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:

Race and Genetics in Congenital Heart Disease: Application of iPSCs, Omics, and Machine Learning Technologies
McKay Mullen, Angela Zhang, George K. Lui, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES
Ramesh TR, Umesh Kumar Lilhore, M. Poongodi, et al.
Malaysian Journal of Computer Science (2022), pp. 132-148
Open Access | Times Cited: 254
Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases
Yanji Qu, Xin Deng, Shao Lin, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 25
Ambient Air Pollution and Congenital Heart Disease: Updated Evidence and Future Challenges
Francesca Gorini, Alessandro Tonacci
Antioxidants (2025) Vol. 14, Iss. 1, pp. 48-48
Open Access
Population based Comparative Nutritional Status of Unoperated Congenital Heart Defects patients from a Tertiary Pediatric Cardiac Centre in India
Radha Joshi, Manasi Bhoite, Poonam Mandhare, et al.
Research Square (Research Square) (2025)
Closed Access
Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study
Anna Erenbourg, Tracie Barber, Vera Cecotti, et al.
BMC Pregnancy and Childbirth (2025) Vol. 25, Iss. 1
Open Access
Artificial intelligence in pediatric cardiology: taking baby steps in the big world of data
Jef Van den Eynde, Shelby Kutty, David A. Danford, et al.
Current Opinion in Cardiology (2021) Vol. 37, Iss. 1, pp. 130-136
Closed Access | Times Cited: 25
Modern Day Drapetomania: Calling Out Scientific Racism
Ijeoma Nnodim Opara, Latonya Riddle‐Jones, Nakia Allen
Journal of General Internal Medicine (2021) Vol. 37, Iss. 1, pp. 225-226
Open Access | Times Cited: 23
Medicine-Based Evidence in Congenital Heart Disease: How Artificial Intelligence Can Guide Treatment Decisions for Individual Patients
Jef Van den Eynde, Cedric Manlhiot, Alexander Van De Bruaene, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 17
The effects of a hospital-to-home care transition program on perceived stress and readiness for hospital discharge in mothers of children with congenital heart disease undergoing corrective surgery
Zohre Komijani, Meimanat Hosseini, Malihe Nasiri, et al.
Journal of Pediatric Nursing (2024) Vol. 78, pp. e66-e74
Closed Access | Times Cited: 2
Identifying biomarkers for prenatal diagnosis of neural tube defects based on “omics”
Wanqi Huang, Hui Gu, Zhengwei Yuan
Clinical Genetics (2021) Vol. 101, Iss. 4, pp. 381-389
Closed Access | Times Cited: 11
Human Induced Pluripotent Stem Cell as a Disease Modeling and Drug Development Platform—A Cardiac Perspective
Mohamed M. Bekhite, P. Christian Schulze
Cells (2021) Vol. 10, Iss. 12, pp. 3483-3483
Open Access | Times Cited: 11
Insights and perspectives into clinical biomarker discovery in pediatric heart failure and congenital heart disease—a narrative review
David Liem, Martín Cadeiras, Shaun P. Setty
Cardiovascular Diagnosis and Therapy (2023) Vol. 13, Iss. 1, pp. 83-99
Open Access | Times Cited: 4
ANÁLISE DA PREVALÊNCIA E DO PERFIL DAS CARDIOPATIAS CONGÊNITAS EM CRIANÇAS E ADOLESCENTES NO BRASIL ENTRE 2000 E 2022
Daniel Simões Barbosa de Souza, Maíra da Silva Coêlho, Rafaela Rocha de Souza, et al.
Revista Contemporânea (2024) Vol. 4, Iss. 3, pp. e3532-e3532
Open Access | Times Cited: 1
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari, Oussama Abderrahmane Dambri, Yaser Baseri, et al.
(2024)
Open Access | Times Cited: 1
Temporal Trends of Infant Mortality Secondary to Congenital Heart Disease: National CDC Cohort Analysis (1999–2020)
Muchi Ditah Chobufo, Shafaqat Ali, Amro Taha, et al.
Birth Defects Research (2024) Vol. 116, Iss. 9
Closed Access | Times Cited: 1
Copy number variant analysis for syndromic congenital heart disease in the Chinese population
Ping Li, Wei-Cheng Chen, Mengru Li, et al.
Human Genomics (2022) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Extracardial pathology as an additional risk factor in the correction of congenital heart defects in children
Gulzhan I. Sarsenbaeva
Russian Pediatric Journal (2024) Vol. 27, Iss. 1, pp. 40-43
Open Access
Racial, ethnic, and socio-economic disparities in neonatal ICU admissions among neonates born with cyanotic CHD in the United States, 2009–2018
Kriyana P. Reddy, Avital Ludomirsky, Andrea L. Jones, et al.
Cardiology in the Young (2024), pp. 1-8
Closed Access
Deciphering Congenital Heart Disease Using Human Induced Pluripotent Stem Cells
Hao Zhang, Joseph C Wu
Advances in experimental medicine and biology (2024), pp. 239-252
Closed Access
Technologies to Study Genetics and Molecular Pathways
Marcel Grunert, Cornelia Dorn, Ana Dopazo, et al.
Advances in experimental medicine and biology (2024), pp. 435-458
Closed Access
Human Genetics of Congenital Heart Defects
Anna Wilsdon, Siobhan Loughna
Advances in experimental medicine and biology (2024), pp. 57-75
Closed Access
Serum Raman spectroscopy: Unearthing the snapshot of distinct metabolic profile in patients with Congenital Heart Defects (CHDs)
Radha O Joshi, Debosmita Goswami, Panchali Saha, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e34575-e34575
Open Access
Study on the prediction of congenital cardiac abnormalities using various Machine learning models
Ahmad Ali AlZubi, Abdulrhman Alkhanifer
Journal of King Saud University - Science (2024) Vol. 36, Iss. 11, pp. 103555-103555
Open Access
Accurately assessing congenital heart disease using artificial intelligence
Khalil Khan, Farhan Ullah, Ikram Syed, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2535-e2535
Open Access
A Cardiac Deep Learning Model (CDLM) to Predict and Identify the Risk Factor of Congenital Heart Disease
Prabu Pachiyannan, Musleh Alsulami, Deafallah Alsadie, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2195-2195
Open Access | Times Cited: 1
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