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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:

Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology
Nicholas Ekow Thomford, Christian Domilongo Bope, Francis E. Agamah, et al.
OMICS A Journal of Integrative Biology (2019) Vol. 24, Iss. 5, pp. 264-277
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A Research Agenda for Precision Medicine in Sepsis and Acute Respiratory Distress Syndrome: An Official American Thoracic Society Research Statement
Faraaz Shah, Nuala J. Meyer, Derek C. Angus, et al.
American Journal of Respiratory and Critical Care Medicine (2021) Vol. 204, Iss. 8, pp. 891-901
Open Access | Times Cited: 55
Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications
Elliot Mbunge, John Batani
Telematics and Informatics Reports (2023) Vol. 11, pp. 100097-100097
Open Access | Times Cited: 22
Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data
Dragan Primorac, Lidija Bach‐Rojecky, Dalia Vađunec, et al.
Pharmacogenomics (2020) Vol. 21, Iss. 2, pp. 141-156
Open Access | Times Cited: 54
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
Role of artificial intelligence in early detection of congenital heart diseases in neonates
Haris Ejaz, Tarannum Thyyib, Ahmed K. Ibrahim, et al.
Frontiers in Digital Health (2024) Vol. 5
Open Access | Times Cited: 6
Artificial intelligence in global health: An unfair future for health in Sub-saharan Africa?
Audêncio Victor
Health Affairs Scholar (2025) Vol. 3, Iss. 2
Open Access
The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems
Noa Hurvitz, Yaron Ilan
Clinics and Practice (2023) Vol. 13, Iss. 4, pp. 994-1014
Open Access | Times Cited: 11
Stem cell imaging through convolutional neural networks: current issues and future directions in artificial intelligence technology
Ramanaesh Ramakrishna, Zariyantey Abd Hamid, Wan Mimi Diyana Wan Zaki, et al.
PeerJ (2020) Vol. 8, pp. e10346-e10346
Open Access | Times Cited: 28
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
Machine Learning in Cardiology: A Potential Real-World Solution in Low- and Middle-Income Countries
Mohamad S. Alabdaljabar, Babar Hasan, Peter A. Noseworthy, et al.
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 285-295
Open Access | Times Cited: 9
Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans
Francis Jesmar P. Montalbo
Multimedia Tools and Applications (2022) Vol. 81, Iss. 12, pp. 16411-16439
Open Access | Times Cited: 15
Adult congenital heart disease: Looking back, moving forward
Despοina Ntiloudi, Michael Α. Gatzoulis, Alexandra Arvanitaki, et al.
International Journal of Cardiology Congenital Heart Disease (2021) Vol. 2, pp. 100076-100076
Open Access | Times Cited: 16
Digital Transformation in the Diagnostics and Therapy of Cardiovascular Diseases: Comprehensive Literature Review
Christopher Stremmel, Rüdiger Breitschwerdt
JMIR Cardio (2023) Vol. 7, pp. e44983-e44983
Open Access | Times Cited: 6
Artificial intelligence for healthcare in Africa: a scientometric analysis
Basile Njei, Ulrick Sidney Kanmounye, Mouhand Mohamed, et al.
Health and Technology (2023) Vol. 13, Iss. 6, pp. 947-955
Closed Access | Times Cited: 5
ADVANCES IN ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: A COMPREHENSIVE REVIEW
Victor Balceiro Legname Martins, Laysla Rangel Freitas Thom, Júlia Mayse Soares Gonçalves, et al.
Revista Ibero-Americana de Humanidades, Ciências e Educação (2024) Vol. 10, Iss. 4, pp. 2442-2456
Open Access | Times Cited: 1
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
An efficient disease prediction framework based on optimized machine learning models for a smart healthcare application
Na Jiao
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 50825-50848
Closed Access | Times Cited: 4
Progresses in genetic testing in congenital heart disease
Han Gao, Ying Liu, Wei Sheng, et al.
Medicine Plus (2024) Vol. 1, Iss. 2, pp. 100028-100028
Open Access | Times Cited: 1
Una nueva estrategia para las cardiopatías congénitas del adulto: la inteligencia artificial
Stefan Orwat, Alexandra Arvanitaki, Gerhard‐Paul Diller
Revista Española de Cardiología (2021) Vol. 74, Iss. 7, pp. 573-575
Closed Access | Times Cited: 7
Application of intelligent phonocardiography in the detection of congenital heart disease in pediatric patients: A narrative review
Joseph Burns, Madhusudan Ganigara, Arushi Dhar
Progress in Pediatric Cardiology (2021) Vol. 64, pp. 101455-101455
Closed Access | Times Cited: 6
A new approach to modelling in adult congenital heart disease: artificial intelligence
Stefan Orwat, Alexandra Arvanitaki, Gerhard‐Paul Diller
Revista Española de Cardiología (English Edition) (2021) Vol. 74, Iss. 7, pp. 573-575
Closed Access | Times Cited: 5
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
Künstliche Intelligenz in der pränatalen kardialen Diagnostik
J. Weichert, Amrei Welp, Jann Lennard Scharf, et al.
Der Gynäkologe (2021) Vol. 55, Iss. 1, pp. 22-31
Closed Access | Times Cited: 4
Study protocol for a pilot prospective, observational study investigating the condition suggestion and urgency advice accuracy of a symptom assessment app in sub-Saharan Africa: the AFYA-‘Health’ Study
Elizabeth Millen, Nahya Salim, Hila Azadzoy, et al.
BMJ Open (2022) Vol. 12, Iss. 4, pp. e055915-e055915
Open Access | Times Cited: 2
Artificial Intelligence-Based Evaluation of Congenital Heart Disease
Jennifer A. Steeden, Vivek Muthurangu, Aurelio Secinaro
Contemporary medical imaging (2022), pp. 365-376
Closed Access | Times Cited: 1
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