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:
From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit
J. Schouten, Melissa A. C. M. Kalden, Eris van Twist, et al.
Intensive Care Medicine (2024)
Open Access | Times Cited: 6
J. Schouten, Melissa A. C. M. Kalden, Eris van Twist, et al.
Intensive Care Medicine (2024)
Open Access | Times Cited: 6
Showing 6 citing articles:
Artificial intelligence in pediatric medicine: a call for rigorous reporting standards
James S. Barry, Kristyn Beam, Ryan M. McAdams
Journal of Perinatology (2025)
Closed Access
James S. Barry, Kristyn Beam, Ryan M. McAdams
Journal of Perinatology (2025)
Closed Access
Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus
Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, et al.
BMC Nursing (2025) Vol. 24, Iss. 1
Open Access
Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, et al.
BMC Nursing (2025) Vol. 24, Iss. 1
Open Access
Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology
Yinhu Gao, Peizhen Wen, Yuan Liu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Yinhu Gao, Peizhen Wen, Yuan Liu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Advances in Artificial Intelligence and Machine Learning for Precision Medicine in Necrotizing Enterocolitis and Neonatal Sepsis: A State-of-the-Art Review
Miriam Duci, Giuseppe Verlato, Laura Moschino, et al.
Children (2025) Vol. 12, Iss. 4, pp. 498-498
Open Access
Miriam Duci, Giuseppe Verlato, Laura Moschino, et al.
Children (2025) Vol. 12, Iss. 4, pp. 498-498
Open Access
Machine Learning Models as Early Warning Systems for Neonatal Infection
Brynne A. Sullivan, Robert W. Grundmeier
Clinics in Perinatology (2024) Vol. 52, Iss. 1, pp. 167-183
Closed Access | Times Cited: 1
Brynne A. Sullivan, Robert W. Grundmeier
Clinics in Perinatology (2024) Vol. 52, Iss. 1, pp. 167-183
Closed Access | Times Cited: 1
What if we do, but what if we don’t? The opportunity cost of artificial intelligence hesitancy in the intensive care unit
Elizabeth M. Spencer, Nicoleta Economou-Zavlanos, Michel E. van Genderen
Intensive Care Medicine (2024)
Closed Access
Elizabeth M. Spencer, Nicoleta Economou-Zavlanos, Michel E. van Genderen
Intensive Care Medicine (2024)
Closed Access
