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 Techniques on X-ray Images for Covid-19 Classification
Luciano Caroprese, Eugenio Vocaturo, Ester Zumpano
(2022), pp. 539-543
Closed Access | Times Cited: 4
Luciano Caroprese, Eugenio Vocaturo, Ester Zumpano
(2022), pp. 539-543
Closed Access | Times Cited: 4
Showing 4 citing articles:
Automated Detection of COVID-19 from Multimodal Imaging Data Using Optimized Convolutional Neural Network Model
S. Veluchamy, S Sudharson, R Annamalai, et al.
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2074-2088
Open Access | Times Cited: 7
S. Veluchamy, S Sudharson, R Annamalai, et al.
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2074-2088
Open Access | Times Cited: 7
A comparative study of linear type multiple instance learning techniques for detecting COVID-19 by chest X-ray images
Matteo Avolio, Antonio Fuduli, Eugenio Vocaturo, et al.
Progress in Artificial Intelligence (2024)
Open Access
Matteo Avolio, Antonio Fuduli, Eugenio Vocaturo, et al.
Progress in Artificial Intelligence (2024)
Open Access
A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods
Edward Kim, Isamu Isozaki, Satvik Tripathi, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 45, pp. 4213-4219
Closed Access
Edward Kim, Isamu Isozaki, Satvik Tripathi, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 45, pp. 4213-4219
Closed Access
Infectious Disease Forecasting using Multivariate Incomplete Time-series: A Hybrid Architecture with Stacked Dilated Causal Convolutions
Brandon Mossop, Quazi Abidur Rahman
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 16, pp. 4220-4227
Closed Access
Brandon Mossop, Quazi Abidur Rahman
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 16, pp. 4220-4227
Closed Access
