Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model
Nora El-Rashidy, Shaker El–Sappagh, Tamer Abuhmed, et al.
IEEE Access (2020) Vol. 8, pp. 133541-133564
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
Nora El-Rashidy, Shaker El–Sappagh, S. M. Riazul Islam, et al.
Diagnostics (2021) Vol. 11, Iss. 4, pp. 607-607
Open Access | Times Cited: 157
Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence
Hela Elmannai, Nora El-Rashidy, Ibrahim Mashal, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1506-1506
Open Access | Times Cited: 42
End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring
Nora El-Rashidy, Shaker El–Sappagh, S. M. Riazul Islam, et al.
Electronics (2020) Vol. 9, Iss. 9, pp. 1439-1439
Open Access | Times Cited: 105
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1155-1155
Open Access | Times Cited: 57
Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis
Hager Saleh, Sherif Mostafa, Abdullah Alharbi, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3707-3707
Open Access | Times Cited: 54
ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation
Andrew F. Stephens, M. Šeman, Arne Diehl, et al.
Intensive Care Medicine (2023) Vol. 49, Iss. 9, pp. 1090-1099
Open Access | Times Cited: 29
Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms
Yan Peng, Yiren Wang, Zhongjian Wen, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 9
Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4340-4340
Open Access | Times Cited: 21
Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study
Lily Wei Yun Yang, Wei Yan Ng, Xiaofeng Lei, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 17
A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications
Will Ke Wang, I.-Yuan Chen, Leeor Hershkovich, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8016-8016
Open Access | Times Cited: 27
Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 21, pp. 6460-6460
Open Access | Times Cited: 26
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
RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Nora El-Rashidy, Nesma E. ElSayed, Amir El-Ghamry, et al.
Soft Computing (2022) Vol. 26, Iss. 21, pp. 11435-11450
Open Access | Times Cited: 24
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
Sajid Ali, Shaker El–Sappagh, Farman Ali, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5793-5804
Closed Access | Times Cited: 24
Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients
Lee Hwangbo, Yoon Jung Kang, Hoon Kwon, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method
Nusrat Tasnim, Shamim Al Mamun, Mohammad Shahidul Islam, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6138-6138
Open Access | Times Cited: 15
Explainable Artificial Intelligence of Multi-Level Stacking Ensemble for Detection of Alzheimer’s Disease Based on Particle Swarm Optimization and the Sub-Scores of Cognitive Biomarkers
Abdulaziz AlMohimeed, Redhwan M. A. Saad, Sherif Mostafa, et al.
IEEE Access (2023) Vol. 11, pp. 123173-123193
Open Access | Times Cited: 15
Prediction of Diabetes During Pregnancy Through Fog Environment
K. K. Baseer, P. Karthik, M. Sheshendra, et al.
Communications in computer and information science (2025), pp. 231-246
Closed Access
An Empirical Evaluation of Stacked Ensembles With Different Meta-Learners in Imbalanced Classification
Zian Seng, Sameem Abdul Kareem, Kasturi Dewi Varathan
IEEE Access (2021) Vol. 9, pp. 87434-87452
Open Access | Times Cited: 32
Comparison of Neural Language Modeling Pipelines for Outcome Prediction From Unstructured Medical Text Notes
Chérubin Mugisha, Incheon Paik
IEEE Access (2022) Vol. 10, pp. 16489-16498
Open Access | Times Cited: 22
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Nora El-Rashidy, Nesma E. ElSayed, Amir El-Ghamry, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7423-7442
Open Access | Times Cited: 19
A Dynamic Ensemble Learning Algorithm based on K-means for ICU mortality prediction
Chonghui Guo, Mucan Liu, Menglin Lu
Applied Soft Computing (2021) Vol. 103, pp. 107166-107166
Closed Access | Times Cited: 24
Comparison of Severity of Illness Scores and Artificial Intelligence Models That Are Predictive of Intensive Care Unit Mortality: Meta-analysis and Review of the Literature
Cristina Barboi, Andreas Tzavelis, Lutfiyya N. Muhammad
JMIR Medical Informatics (2022) Vol. 10, Iss. 5, pp. e35293-e35293
Open Access | Times Cited: 18
Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems
Vassiliki Danilatou, Stylianos Nikolakakis, Despoina Antonakaki, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 13, pp. 7132-7132
Open Access | Times Cited: 17
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models
Nora El-Rashidy, Ahmed Sedik, Ali I. Siam, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10695-10716
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top