
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:
Skin Cancer Classification Using Transfer Learning-Based Pre-Trained VGG 16 Model
Archana Saini, Kalpna Guleria, Shagun Sharma
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023)
Closed Access | Times Cited: 3
Archana Saini, Kalpna Guleria, Shagun Sharma
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023)
Closed Access | Times Cited: 3
Showing 3 citing articles:
Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features
Ambavarapu Harshini, Kanyadara Sathwika, Bandla Nikhitha, et al.
Communications in computer and information science (2025), pp. 181-189
Closed Access
Ambavarapu Harshini, Kanyadara Sathwika, Bandla Nikhitha, et al.
Communications in computer and information science (2025), pp. 181-189
Closed Access
Cascaded Approach for Image Segmentation and Classification for Skin Cancer Detection
Abhipsa Pattanaik, Leena Das, Shobhan Banerjee
(2024), pp. 1-5
Closed Access
Abhipsa Pattanaik, Leena Das, Shobhan Banerjee
(2024), pp. 1-5
Closed Access
Skin Cancer Diagnosis Using VGG16 and Transfer Learning: Analyzing the Effects of Data Quality over Quantity on Model Efficiency
Khamsa Djaroudib, Pascal Lorenz, Rime Belkacem Bouzida, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7447-7447
Open Access
Khamsa Djaroudib, Pascal Lorenz, Rime Belkacem Bouzida, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7447-7447
Open Access