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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:

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

Showing 21 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
Relationship between Cholesterol-Related Lipids and Severe Acute Pancreatitis: From Bench to Bedside
Xiaoying Zhou, Shengchun Jin, Jingyi Pan, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 5, pp. 1729-1729
Open Access | Times Cited: 14
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
Nomogram and Web Calculator Based on Lasso-Logistic Regression for Predicting Persistent Organ Failure in Acute Pancreatitis Patients
Xin Gao, Jiale Xu, Musen Xu, et al.
Journal of Inflammation Research (2024) Vol. Volume 17, pp. 823-836
Open Access | Times Cited: 1
An Intelligent Decision Support System for the Surgical Preoperative Phase: An Approach Based on Machine Learning
Cheima Bouden, Chaker Mezioud
Lecture notes in networks and systems (2024), pp. 483-494
Closed Access | Times Cited: 1
A comparison of interpretable XGBoost and artificial neural network model for the prediction of severe acute pancreatitis
Yajing Lu, Minhao Qiu, Shuang Pan, et al.
Polskie Archiwum Medycyny Wewnętrznej (2024)
Open Access | Times Cited: 1
Serological Biomarker-Based Machine Learning Models for Predicting the Relapse of Ulcerative Colitis
Wenwen Pang, Bowei Zhang, Leixin Jin, et al.
Journal of Inflammation Research (2023) Vol. Volume 16, pp. 3531-3545
Open Access | Times Cited: 4
Development of a Novel Nomogram Incorporating Red Blood Cell Distribution Width-Albumin Ratio for the Prediction of 30-day Mortality in Acute Pancreatitis Patients
Li-na Pan, Shen-ao Pan, Bu-huai Lei, et al.
Emergency Medicine International (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 7
Application of machine learning in prediction of bone cement leakage during single-level thoracolumbar percutaneous vertebroplasty
Guobing Deng, Jichong Zhu, Qing Lu, et al.
BMC Surgery (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Random Forest Algorithm for Assessing Risk factors associated with Chronic Kidney Disease (Preprint)
Pei Liu, Yijun Liu, Hao Liu, et al.
Asian/Pacific Island Nursing Journal (2024) Vol. 8, pp. e48378-e48378
Open Access
Neural Network Classification Algorithm Based on Self-attention Mechanism and Ensemble Learning for MASLD Ultrasound Images
Lijuan Guo, Liling Shi, Wen-Juan Wang, et al.
Ultrasound in Medicine & Biology (2024) Vol. 50, Iss. 9, pp. 1361-1371
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
Automated Detection of Pancreatic Cancer with Segmentation and Classification Using Fusion of Unet and Cnn Through Spider Monkey Optimization
chaithanya das, G. R. Gnana King
(2024)
Closed Access
Decoding Perinatal Mental Health: Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health through Explainable Machine Learning
Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, et al.
Research Square (Research Square) (2024)
Open Access
Autism Spectrum Disorder and Atypical Brain Connectivity: Novel Insights from Brain Connectivity-Associated Genes by Combining Random Forest and Support Vector Machine Algorithm
Pelin Gelmez, Talha Emir Karakoc, Özlem Ulucan
OMICS A Journal of Integrative Biology (2024)
Closed Access
Prediction of acute myeloid leukemia prognosis based on autophagy features and characterization of its immune microenvironment
Chaoqun Zhu, Xiangyan Feng, Li Tong, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access
Automated detection of pancreatic cancer with segmentation and classification using fusion of UNET and CNN through spider monkey optimization
Chaithanyadas K.V, Daniel M. King
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107413-107413
Closed Access
Towards an Intelligent Surgical Preoperative Decision Support System: An Approach Based on Decision Trees and the Random Forest
Cheima Bouden, Chaker Mezioud
Intelligent Methods in Engineering Sciences (2023)
Open Access | Times Cited: 1
Fabp5 is a common gene between a high-cholesterol diet and acute pancreatitis
Minhao Qiu, Fangfang Cai, Yining Huang, et al.
Frontiers in Nutrition (2023) Vol. 10
Open Access | Times Cited: 1
A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study (Preprint)
Pei Liu, Yijun Liu, Hao Liu, et al.
(2023)
Open Access
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