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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 weighted ensemble transfer learning approach for melanoma classification from skin lesion images
Himanshi Meswal, Deepika Kumar, Aryan Gupta, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33615-33637
Closed Access | Times Cited: 12

Showing 12 citing articles:

Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead
Sudipta Roy, Debojyoti Pal, Tanushree Meena
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 18
Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
Ulyana A. Lyakhova, Pavel Lyakhov
Computers in Biology and Medicine (2024) Vol. 178, pp. 108742-108742
Closed Access | Times Cited: 6
Classification of Brain-MRI Images Using a Stacked-Deep-Network Ensemble Model into Multiple Region-Based Classes
Deepika Kumar, Varun Srivastava, Shilpa Gupta, et al.
Lecture notes in networks and systems (2025), pp. 492-505
Closed Access
Multi-Skin disease classification using hybrid deep learning model
K. Jeyageetha, K. Vijayalakshmi, S. Suresh, et al.
Technology and Health Care (2025)
Open Access
Improving Melanoma Classification Using Transfer Learning Based Wavelet Features
Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mohapatra
Communications in computer and information science (2025), pp. 58-68
Closed Access
TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification
Cosimo Ieracitano, Francesco Carlo Morabito, Amir Hussain, et al.
Neurocomputing (2025), pp. 129701-129701
Closed Access
FusionEXNet: an interpretable fused deep learning model for skin cancer detection
Yuvika Gautam, Piyush Kumar Gupta, Deepika Kumar, et al.
International Journal of Computers and Applications (2024) Vol. 46, Iss. 9, pp. 743-753
Closed Access | Times Cited: 2
SkinLiTE: Lightweight Supervised Contrastive Learning Model for Enhanced Skin Lesion Detection and Disease Typification in Dermoscopic Images
Salha M. Alzahrani
(2024)
Open Access | Times Cited: 1
MSCC: Multi-Class Skin Cancer Classification and Interpretable Deep Learning Systems
Sana Ulla, Mohammad Abu Yousuf
(2024), pp. 735-740
Closed Access
Advancements of Skin Cancer Classification using Transfer Learning Segmentation
Kiran Kumar Kaveti, Makineni Sai Ravali, Vaddula Baby Sravya, et al.
(2024), pp. 612-616
Closed Access
Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning
Syed Adil Hussain Shah, Syed Taimoor Hussain Shah, Roa’a Khaled, et al.
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 332-332
Open Access
Computer-Aided Design for Skin Disease Identification and Categorization Using Deep Learning
K. Varalakshmi, A. Revathi
(2023), pp. 374-379
Closed Access
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