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 models for predicting hospitalization and mortality risks of COVID-19 patients
Wallace Duarte de Holanda, Lenardo Chaves e Silva, Álvaro Sobrinho
Expert Systems with Applications (2023) Vol. 240, pp. 122670-122670
Closed Access | Times Cited: 7
Wallace Duarte de Holanda, Lenardo Chaves e Silva, Álvaro Sobrinho
Expert Systems with Applications (2023) Vol. 240, pp. 122670-122670
Closed Access | Times Cited: 7
Showing 7 citing articles:
A tri-light warning system for hospitalized COVID-19 patients: Credibility-based risk stratification for future pandemic preparedness
Chuanjun Xu, Qinmei Xu, Li Liu, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100603-100603
Open Access | Times Cited: 1
Chuanjun Xu, Qinmei Xu, Li Liu, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100603-100603
Open Access | Times Cited: 1
Dynamic multi-dose vaccination with initial immunity on higher-order networks
Yilei Qian, Dawei Zhao, Chengyi Xia, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 480, Iss. 2300
Closed Access | Times Cited: 1
Yilei Qian, Dawei Zhao, Chengyi Xia, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 480, Iss. 2300
Closed Access | Times Cited: 1
Adaptive Stacking Ensemble Techniques for Early Severity Classification of COVID-19 Patients
Gun-Woo Kim, Chan-Yang Ju, Hyeri Seok, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2715-2715
Open Access
Gun-Woo Kim, Chan-Yang Ju, Hyeri Seok, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2715-2715
Open Access
Predicting ICU Admission for COVID-19 Patients in Saudi Arabia: A Comparative Study of AdaBoost and Bagging Methods
Hamza Ghandorh, Mohammad Zubair Khan, Mehshan Ahmed Khan, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Hamza Ghandorh, Mohammad Zubair Khan, Mehshan Ahmed Khan, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Predicting the transmission trends of COVID-19: an interpretable machine learning approach based on daily, death, and imported cases
Hyeonjeong Ahn, Hyojung Lee
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 6150-6166
Open Access
Hyeonjeong Ahn, Hyojung Lee
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 6150-6166
Open Access
Reassessment of Corporate Credit Risk Identification: Novel Discoveries from Integrated Machine Learning Models
Guoli Mo, G Zhang, Chunzhi Tan, et al.
Computational Economics (2024)
Closed Access
Guoli Mo, G Zhang, Chunzhi Tan, et al.
Computational Economics (2024)
Closed Access
Mortality prediction using data from wearable activity trackers and individual characteristics: An explainable artificial intelligence approach
Byron Graham, Mark Farrell
Expert Systems with Applications (2024), pp. 126195-126195
Open Access
Byron Graham, Mark Farrell
Expert Systems with Applications (2024), pp. 126195-126195
Open Access
