Open Access Helper

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:

Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning–Based Approach
Donghun Yang, Jimin Kim, Junsang Yoo, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 6, pp. e37689-e37689
Open Access | Times Cited: 5

Showing 5 citing articles:

Machine learning algorithms in sepsis
Luisa Agnello, Matteo Vidali, Andrea Padoan, et al.
Clinica Chimica Acta (2023) Vol. 553, pp. 117738-117738
Closed Access | Times Cited: 9
A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainability
Sherali Bomrah, Mohy Uddin, Umashankar Upadhyay, et al.
Critical Care (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 3
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
Artificial Intelligence and Medicine
Jonas Vanak
Science Insights (2022) Vol. 41, Iss. 1, pp. 567-575
Open Access | Times Cited: 9
The Potential Promise of Machine Learning in Myelodysplastic Syndrome
Valeria Visconte, Jaroslaw P. Maciejewski, Luca Guarnera
Seminars in Hematology (2024)
Closed Access | Times Cited: 1
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