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:
COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 33
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 33
Showing 26-50 of 33 citing articles:
Zhipeng Liu, Wu Jiawei, Jing Ye, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Closed Access
Deciphering the Complexities of COVID ‐19‐Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework
Narjes Benameur, Ameni Sassi, Wael Ouarda, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Closed Access
Narjes Benameur, Ameni Sassi, Wael Ouarda, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Closed Access
A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images
S. Jeevitha, K. Valarmathi
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 3, pp. 789-806
Open Access | Times Cited: 1
S. Jeevitha, K. Valarmathi
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 3, pp. 789-806
Open Access | Times Cited: 1
Refining the Accuracy of Chest X-Ray Image Classification Through Layer and Activation Function Optimization
K Kalaiselvi, M Kasthuri
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 13, pp. 1030-1037
Open Access | Times Cited: 1
K Kalaiselvi, M Kasthuri
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 13, pp. 1030-1037
Open Access | Times Cited: 1
Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust
Kashfia Sailunaz, Deniz Beştepe, Tansel Özyer, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278487-e0278487
Open Access | Times Cited: 2
Kashfia Sailunaz, Deniz Beştepe, Tansel Özyer, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278487-e0278487
Open Access | Times Cited: 2
An efficient quantification of COVID ‐19 in chest CT images with improved semantic segmentation using U‐Net deep structure
Aya Salama, Mohamed A. Mohamed, Hanan M. Amer, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 6, pp. 1882-1901
Closed Access
Aya Salama, Mohamed A. Mohamed, Hanan M. Amer, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 6, pp. 1882-1901
Closed Access
Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture
Ahmed Makhlouf, Alaa Awad Abdellatif, Ahmed Badawy, et al.
(2023), pp. 155-160
Closed Access
Ahmed Makhlouf, Alaa Awad Abdellatif, Ahmed Badawy, et al.
(2023), pp. 155-160
Closed Access
Ocean Wave Height Forecasting using Deep Learning Neural Networks and Optimization Techniques
M.Lohitha Chowdary, P. Premsai, M. Dasharna, et al.
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2023), pp. 1-8
Closed Access
M.Lohitha Chowdary, P. Premsai, M. Dasharna, et al.
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2023), pp. 1-8
Closed Access
