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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:

Predicting the Need for Therapeutic Intervention and Mortality in Acute Pancreatitis: A Two-Center International Study Using Machine Learning
Na Shi, Lan Lan, Jiawei Luo, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 4, pp. 616-616
Open Access | Times Cited: 4

Showing 4 citing articles:

Advances in the clinical application of machine learning in acute pancreatitis: a review
Zhaowang Tan, Gao‐xiang Li, Yueliang Zheng, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access
Machine Learning for Selecting Important Clinical Markers of Imaging Subgroups of Cerebral Small Vessel Disease Based on a Common Data Model
Lan Lan, Guoliang Hu, Rui Li, et al.
Tsinghua Science & Technology (2024) Vol. 29, Iss. 5, pp. 1495-1508
Open Access | Times Cited: 2
Machine learning improves prediction of severity and outcomes of acute pancreatitis: a prospective multi-center cohort study
Jianing Li, Dong Mu, Shicheng Zheng, et al.
Science China Life Sciences (2023) Vol. 66, Iss. 8, pp. 1934-1937
Closed Access | Times Cited: 2
A Systematic Review of Machine Learning-based Prognostic Models for Acute Pancreatitis: Towards Improving Methods and Reporting Quality
Brian Critelli, Amier Hassan, Ila Lahooti, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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