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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:

A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department
Zahra Rahmatinejad, Toktam Dehghani, Benyamin Hoseini, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

Interpretable machine learning for predicting sepsis risk in emergency triage patients
Zheng Liu, Wenqi Shu, Teng Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit
Tong Tong, Yikun Guo, Qingqing Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Novel transfer learning approach for hand drawn mathematical geometric shapes classification
Aftab Alam, Ali Raza, Nisrean Thalji, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2652-e2652
Open Access
Interpretable machine learning model to predict the acute occurrence of delirium in elderly patients in the intensive care units: a retrospective cohort study
Xin Hu, Jun Luo, Hong Liang, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a retrospective cohort study and predictive modeling based on machine learning
Yu Guo, Fuxu Wang, Shiyin Ma, et al.
Cardiovascular Diabetology (2025) Vol. 24, Iss. 1
Open Access
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI
Vishnu S. Pendyala, HyungKyun Kim
Electronics (2024) Vol. 13, Iss. 6, pp. 1025-1025
Open Access | Times Cited: 3
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI
Vishnu S. Pendyala, HyungKyun Kim
(2024)
Open Access | Times Cited: 2
Forest Smoke-Fire Net (FSF Net): A Wildfire Smoke Detection Model That Combines MODIS Remote Sensing Images with Regional Dynamic Brightness Temperature Thresholds
Yunhong Ding, Mingyang Wang, Yujia Fu, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 839-839
Open Access | Times Cited: 2
An elastic net regression model for predicting the risk of ICU admission and death for hospitalized patients with COVID-19
Wei Zou, Yao Xiujuan, Yizhen Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis
Jian Wei, Ruiyuan Liang, Siying Liu, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Risk prediction based on oversampling technology and ensemble model optimized by tree-structured parzed estimator
Hongfa Wang, Xinjian Guan, Yu Meng, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 111, pp. 104753-104753
Closed Access | Times Cited: 1
An Ensemble Deep Learning Model for Vehicular Engine Health Prediction
Isinka Joseph Chukwudi, Nafees Zaman, Md. Abdur Rahim, et al.
IEEE Access (2024) Vol. 12, pp. 63433-63451
Open Access | Times Cited: 1
Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department
Yu-Hsin Chang, Ying-Chen Lin, Fen-Wei Huang, et al.
BMC Emergency Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Pseudo datasets explain artificial neural networks
Yi-Chi Chu, Yi‐Hau Chen, Chao‐Yu Guo
International Journal of Data Science and Analytics (2024)
Open Access
Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset
Melih Ağraz, Yixiang Deng, George Em Karniadakis, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Synthesis and Prediction of Anemia from Multi-Data Attribute Co-Existence
Talal Qadah, Asmaa Munshi
IEEE Access (2024) Vol. 12, pp. 182923-182942
Open Access
Recommending Graduate Admission Using Ensemble Model
Namrata Sukhija, Mainaz Faridi
(2024), pp. 526-530
Closed Access
Development and validation of nomogram for predicting the risk of transferring to the ICU for children with influenza
Ruiyang Sun, Xue Zhang, Jiapu Hou, et al.
European Journal of Clinical Microbiology & Infectious Diseases (2024) Vol. 43, Iss. 9, pp. 1795-1805
Closed Access
Optimization study of diesel engine emission prediction based on neural network model cluster
Guo Yong, Tao Chen, Zhenyu Fan, et al.
International Journal of Engine Research (2024)
Closed Access
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction
Md Masud Karim Rabbi, MA Bari, Tanoy Debnath, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107138-107138
Closed Access
A nomogram to distinguish noncardiac chest pain based on cardiopulmonary exercise testing in cardiology clinic
Mingyu Xu, Rui Li, Bingqing Bai, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
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