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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:

Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework
Anton van der Vegt, Ian Scott, Krishna Dermawan, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 7, pp. 1349-1361
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A Nationwide Network of Health AI Assurance Laboratories
Nigam H. Shah, John Halamka, Suchi Saria, et al.
JAMA (2023) Vol. 331, Iss. 3, pp. 245-245
Closed Access | Times Cited: 57
Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring
Fang Li, Shengguo Wang, Zhi Gao, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access | Times Cited: 1
A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design
Monika Nair, Petra Svedberg, Ingrid Larsson, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0305949-e0305949
Open Access | Times Cited: 10
Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework
Anton van der Vegt, Ian Scott, Krishna Dermawan, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 9, pp. 1503-1515
Open Access | Times Cited: 21
Navigating the Complexity of Scoring Systems in Sepsis Management: A Comprehensive Review
Venkat Reddy, Harshitha Reddy, Rinkle Gemnani, et al.
Cureus (2024)
Open Access | Times Cited: 5
The Complete Blood Count Sepsis Index Using Monocyte Distribution Width for Early Detection of Sepsis in Patients Without Obvious Signs
Scott Levin, Nima Sarani, Jeremiah S. Hinson, et al.
Critical Care Explorations (2025) Vol. 7, Iss. 1, pp. e1194-e1194
Open Access
Artificial Intelligence for Trauma Registry in Emergency Departments
Ahmad Abdel‐Hafez, Ben Gardiner, Oussama Djedidi
Lecture notes in computer science (2025), pp. 419-429
Closed Access
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety
Mark Sendak, Vincent X. Liu, Ashley Beecy, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 7, pp. 1622-1627
Closed Access | Times Cited: 4
Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalized patients—model establishment, internal and external validation, and visualization
Songchang Shi, Lihui Zhang, Shujuan Zhang, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
AI in health: keeping the human in the loop
Suzanne Bakken
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 7, pp. 1225-1226
Open Access | Times Cited: 12
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain
Anton van der Vegt, Victoria Campbell, Imogen Mitchell, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 2, pp. 509-524
Open Access | Times Cited: 12
Achieving large-scale clinician adoption of AI-enabled decision support
Ian Scott, Anton van der Vegt, Paul Lane, et al.
BMJ Health & Care Informatics (2024) Vol. 31, Iss. 1, pp. e100971-e100971
Open Access | Times Cited: 2
Implementation of Machine Learning Applications in Healthcare Organizations: A Systematic Review of Empirical Studies (Preprint)
Luigi Preti, Vittoria Ardito, Amelia Compagni, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e55897-e55897
Open Access | Times Cited: 2
End user experience of a widely used artificial intelligence based sepsis system
Ayomide Owoyemi, Ebere Okpara, Megan E. Salwei, et al.
JAMIA Open (2024) Vol. 7, Iss. 4
Open Access | Times Cited: 2
Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis
M. Yа. Yadgarov, Giovanni Landoni, Levan Berikashvili, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data
Tae-Hwa Kim, Yunwon Tae, Hye Ju Yeo, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 22, pp. 7156-7156
Open Access | Times Cited: 6
Molecular Pathways in Sepsis Pathogenesis: Recent Advances and Therapeutic Avenues
Tamer A. Addissouky, Ibrahim El Tantawy El Sayed, Majeed M. A. Ali, et al.
Journal of Cellular Immunology (2023) Vol. 5, Iss. 6, pp. 174-183
Open Access | Times Cited: 6
Why clinical artificial intelligence is (almost) non‐existent in Australian hospitals and how to fix it
Anton van der Vegt, Victoria Campbell, Guido Zuccon
The Medical Journal of Australia (2023) Vol. 220, Iss. 4, pp. 172-175
Open Access | Times Cited: 5
The Opportunities and Challenges for Artificial Intelligence to Improve Sepsis Outcomes in the Paediatric Intensive Care Unit
Abdullah Tarık Aslan, Budi Permana, Patrick N. A. Harris, et al.
Current Infectious Disease Reports (2023) Vol. 25, Iss. 11, pp. 243-253
Open Access | Times Cited: 4
Sepsis : Actual numbers and uncertainties
Marc Léone, Inès Lakbar, Jean‐Louis Vincent
Revue d Épidémiologie et de Santé Publique (2023) Vol. 71, Iss. 6, pp. 102176-102176
Closed Access | Times Cited: 2
Evaluating the Impact of Common Clinical Confounders on Performance of Deep-Learning based Sepsis Risk Assessment
Shikha Chaganti, Vivek Kumar Singh, Alisdair Edward Gent, et al.
Research Square (Research Square) (2024)
Open Access
Checklist to Support the Development and Implementation of AI in Clinical Settings
Ayomide Owoyemi, Joanne Osuchukwu, Megan E. Salwei, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Explainable machine learning to identify patients at risk of developing hospital acquired infections
Andrew P. Creagh, Tom Pease, Pat Ashworth, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A scoping review on pediatric sepsis prediction technologies in healthcare
Ryan Tennant, Jennifer Graham, Juliet Kern, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access
Perspectives on implementing models for decision support in clinical care
Suzanne Bakken
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 9, pp. 1463-1464
Open Access
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