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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:

Machine learning predictive models for acute pancreatitis: A systematic review
You Zhou, Yutong Ge, Xiaolei Shi, et al.
International Journal of Medical Informatics (2021) Vol. 157, pp. 104641-104641
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Acute Pancreatitis: Diagnosis and Treatment
Peter Szatmary, Tassos Grammatikopoulos, Wenhao Cai, et al.
Drugs (2022) Vol. 82, Iss. 12, pp. 1251-1276
Open Access | Times Cited: 301
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
Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosis
Caihong Ning, Hui Ouyang, Jie Xiao, et al.
EClinicalMedicine (2025) Vol. 80, pp. 103074-103074
Closed 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
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning
Minyue Yin, Jiaxi Lin, Yu Wang, et al.
International Journal of Medical Informatics (2024) Vol. 184, pp. 105341-105341
Open Access | Times Cited: 5
Improving mortality prediction in Acute Pancreatitis by machine learning and data augmentation
M Asad Bin Hameed, Zareen Alamgir
Computers in Biology and Medicine (2022) Vol. 150, pp. 106077-106077
Closed Access | Times Cited: 25
Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis
Wandong Hong, Yajing Lu, Xiaoying Zhou, et al.
Frontiers in Cellular and Infection Microbiology (2022) Vol. 12
Open Access | Times Cited: 21
Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review
Roneel V. Sharan, Hania Rahimi‐Ardabili
International Journal of Medical Informatics (2023) Vol. 176, pp. 105093-105093
Open Access | Times Cited: 12
Automated machine learning for early prediction of acute kidney injury in acute pancreatitis
Rufa Zhang, Minyue Yin, Anqi Jiang, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review
Simran Uppal, Priyanshu Kumar Shrivastava, Atiya Khan, et al.
International Journal of Medical Informatics (2024) Vol. 186, pp. 105421-105421
Closed Access | Times Cited: 3
Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals
Minyue Yin, Rufa Zhang, Zhirun Zhou, et al.
Frontiers in Cellular and Infection Microbiology (2022) Vol. 12
Open Access | Times Cited: 18
Anxiety, depression, and coping styles among patients with chronic pancreatitis in East China
Cui Chen, You Zhou, Dan Wang, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Robust Acute Pancreatitis Identification and Diagnosis: RAPIDx
Qingfu Zhu, Jiaxin Luo, Huiping Li, et al.
ACS Nano (2023) Vol. 17, Iss. 9, pp. 8564-8574
Closed Access | Times Cited: 10
Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis
Fei Liu, Jie Yao, Chunyan Liu, et al.
BMC Surgery (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Machine learning models to detect and predict patient safety events using electronic health records: A systematic review
Ghasem Deimazar, Abbas Sheikhtaheri
International Journal of Medical Informatics (2023) Vol. 180, pp. 105246-105246
Closed Access | Times Cited: 10
Artificial intelligence-based snakebite identification using snake images, snakebite wound images, and other modalities of information: A systematic review
Jun Zhang, Xin Chen, Aiguo Song, et al.
International Journal of Medical Informatics (2023) Vol. 173, pp. 105024-105024
Closed Access | Times Cited: 8
Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review
Minyue Yin, Lu Liu, Jingwen Gao, et al.
International Journal of Medical Informatics (2023) Vol. 174, pp. 105044-105044
Closed 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
Prediction of acute pancreatitis complications using routine blood parameters during early admission
Xiubing Chen, Jing Ning, Qing Li, et al.
Immunity Inflammation and Disease (2022) Vol. 10, Iss. 12
Open Access | Times Cited: 13
Development and evaluation of machine learning models and nomogram for the prediction of severe acute pancreatitis
Zhu Luo, Jialin Shi, Yangyang Fang, et al.
Journal of Gastroenterology and Hepatology (2023) Vol. 38, Iss. 3, pp. 468-475
Closed Access | Times Cited: 7
Multi-dimensional metabolomic profiling reveals dysregulated ornithine metabolism hallmarks associated with a severe acute pancreatitis phenotype
Jinxi Yang, Na Shi, Shisheng Wang, et al.
Translational research (2023) Vol. 263, pp. 28-44
Closed Access | Times Cited: 5
Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis
Khadijeh Moulaei, Hamid Sharifi, Kambiz Bahaadinbeigy, et al.
International Journal of Medical Informatics (2023) Vol. 179, pp. 105243-105243
Closed Access | Times Cited: 5
Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks
Hongyin Liang, Meng Wang, Yi Wen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Machine learning to predict adverse drug reaction or event based on electronic health records: a systematic review and meta-analysis
Qiaozhi Hu, Xiaoqi Li, dan Zou, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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