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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:

Length of stay prediction for ICU patients using individualized single classification algorithm
Xin Ma, Yabin Si, Zifan Wang, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 186, pp. 105224-105224
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

A systematic review of the prediction of hospital length of stay: Towards a unified framework
Kieran Stone, Reyer Zwiggelaar, P. D. Jones, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 4, pp. e0000017-e0000017
Open Access | Times Cited: 111
An explainable machine learning framework for lung cancer hospital length of stay prediction
Belal Alsinglawi, Osama Alshari, Mohammed Alorjani, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 96
Multistep Dynamic Slow Feature Analysis for Industrial Process Monitoring
Xin Ma, Yabin Si, Zeyi Yuan, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 12, pp. 9535-9548
Closed Access | Times Cited: 92
Modeling COVID-19 hospital admissions and occupancy in the Netherlands
René Bekker, Michiel A.J. uit het Broek, Ger Koole
European Journal of Operational Research (2022) Vol. 304, Iss. 1, pp. 207-218
Open Access | Times Cited: 56
Prediction algorithm for ICU mortality and length of stay using machine learning
Shinya Iwase, Taka‐aki Nakada, Tadanaga Shimada, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 55
Knowledge-based dynamic prompt learning for multi-label disease diagnosis
Jing Xie, Xin Li, Ye Yuan, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111395-111395
Closed Access | Times Cited: 11
Benchmarking machine learning models on multi-centre eICU critical care dataset
Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani
PLoS ONE (2020) Vol. 15, Iss. 7, pp. e0235424-e0235424
Open Access | Times Cited: 64
Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models
Longxiang Su, Xu Zheng, Fengxiang Chang, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 42
Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework
Farid Kadri, Abdelkader Dairi, Fouzi Harrou, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 11481-11495
Open Access | Times Cited: 29
An interpretable machine learning approach to estimate the influence of inflammation biomarkers on cardiovascular risk assessment
M. Roseiro, J. Henriques, S. Paredes, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 230, pp. 107347-107347
Open Access | Times Cited: 21
Multi-modal learning for inpatient length of stay prediction
Junde Chen, Yuxin Wen, Michael Pokojovy, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108121-108121
Closed Access | Times Cited: 7
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients
Firuz Juraev, Shaker El–Sappagh, Eldor Abdukhamidov, et al.
Journal of Biomedical Informatics (2022) Vol. 135, pp. 104216-104216
Open Access | Times Cited: 25
A deep learning–based method to predict the length of stay for patients with traumatic fall injuries in support of physicians' clinical decisions and patient management
Jiaxuan Peng, Da Xu, Paul Jen‐Hwa Hu, et al.
Decision Support Systems (2025) Vol. 191, pp. 114411-114411
Closed Access
Predicting admission to and length of stay in intensive care units after general anesthesia: Time-dependent role of pre- and intraoperative data for clinical decision-making
Andrea Stieger, Patrick Schober, Philipp Venetz, et al.
Journal of Clinical Anesthesia (2025) Vol. 103, pp. 111810-111810
Open Access
Predicting Prolonged Length of ICU Stay through Machine Learning
Jingyi Wu, Yu Lin, Pengfei Li, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2242-2242
Open Access | Times Cited: 25
Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission
Zhixu Hu, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14
Predicting Intensive Care Unit Patients’ Discharge Date with a Hybrid Machine Learning Model That Combines Length of Stay and Days to Discharge
David Cuadrado, Aı̈da Valls, David Riaño
Mathematics (2023) Vol. 11, Iss. 23, pp. 4773-4773
Open Access | Times Cited: 7
Combining attention with spectrum to handle missing values on time series data without imputation
Yen-Pin Chen, Chien‐Hua Huang, Yuan–Hsun Lo, et al.
Information Sciences (2022) Vol. 609, pp. 1271-1287
Open Access | Times Cited: 12
Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
Computers in Biology and Medicine (2022) Vol. 151, pp. 106278-106278
Closed Access | Times Cited: 11
Just-in-time-learning based prediction model of BOF endpoint carbon content and temperature via vMF mixture model and weighted extreme learning machine
Qi Long, Hui Liu, Qian Xiong, et al.
Computers & Chemical Engineering (2021) Vol. 154, pp. 107488-107488
Closed Access | Times Cited: 14
A statistical method for predicting quantitative variables in association rule mining
Sedir Mohammed, Kerstin Rubarth, Sophie K. Piper, et al.
Information Systems (2023) Vol. 118, pp. 102253-102253
Open Access | Times Cited: 5
Glucose outcomes of a learning-type artificial pancreas with an unannounced meal in type 1 diabetes
Lulu Song, Changqing Liu, Wenying Yang, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 191, pp. 105416-105416
Closed Access | Times Cited: 13
Machine learning model for healthcare investments predicting the length of stay in a hospital & mortality rate
Aashi Singh Bhadouria, Ranjeet Kumar Singh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27121-27191
Closed Access | Times Cited: 4
Machine Learning for Benchmarking Critical Care Outcomes
Louis Atallah, Mohsen Nabian, Ludmila Brochini, et al.
Healthcare Informatics Research (2023) Vol. 29, Iss. 4, pp. 301-314
Open Access | Times Cited: 4
Current perspectives on the use of artificial intelligence in critical patient safety
Jesús Abelardo Barea‐Mendoza, Marcos Valiente Fernández, Alex Pardo Fernandez, et al.
Medicina Intensiva (English Edition) (2024)
Closed Access | Times Cited: 1
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