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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:

Prediction of the severity of acute pancreatitis using machine learning models
You Zhou, Fei Han, Xiaolei Shi, et al.
Postgraduate Medicine (2022) Vol. 134, Iss. 7, pp. 703-710
Open Access | Times Cited: 10

Showing 10 citing articles:

Acute pancreatitis: A review of diagnosis, severity prediction and prognosis assessment from imaging technology, scoring system and artificial intelligence
Jian-Xiong Hu, Chengfei Zhao, Shuling Wang, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 37, pp. 5268-5291
Open Access | Times Cited: 20
Improved outcome prediction in acute pancreatitis with generated data and advanced machine learning algorithms
Murat Özdede, Ali Batur, Alp Eren Aksoy
Turkish Journal of Emergency Medicine (2025) Vol. 25, Iss. 1, pp. 32-40
Open Access
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
Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis
Fei Zuo, Lei Zhong, Jie Min, et al.
European journal of medical research (2025) Vol. 30, Iss. 1
Open Access
An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity
Theddeus T. Akano, Chinemerem C. James
Beni-Suef University Journal of Basic and Applied Sciences (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 17
Establishment and Validation of a Nomogram Prediction Model for the Severe Acute Pancreatitis
Bo Li, Weiqing Wu, Liu AiJun, et al.
Journal of Inflammation Research (2023) Vol. Volume 16, pp. 2831-2843
Open Access | Times Cited: 8
Predictive value of machine learning for the severity of acute pancreatitis: A systematic review and meta-analysis
Rui Qian, Jiamei Zhuang, Xie Jianjun, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e29603-e29603
Open Access | Times Cited: 2
Predicting the risk of early intensive care unit admission for patients hospitalized with acute pancreatitis using supervised machine learning
Hassam Ali, Faisal Inayat, Rubaid Azhar Dhillon, et al.
Baylor University Medical Center Proceedings (2024) Vol. 37, Iss. 3, pp. 437-447
Open Access | Times Cited: 1
Proposal of a New Predictive Score for the Requirement of Intensive Care Unit Admission Among Ethanol-Intoxicated Patients
Samah El-Nagdy, Ali Yahya Alalmie, Abdulrahman Assiri, et al.
Alcoholism Treatment Quarterly (2024) Vol. 42, Iss. 3, pp. 331-351
Closed Access
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
Interpretable prediction of 30-day mortality in patients with acute pancreatitis based on machine learning and SHAP
Xiaojing Li, Yingjie Tian, Shuangmei Li, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
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