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:

Multiscale Feature Fusion for Skin Lesion Classification
Gang Wang, Pu Yan, Qingwei Tang, et al.
BioMed Research International (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 14

Showing 14 citing articles:

Skin Cancer Detection and Classification Using Neural Network Algorithms: A Systematic Review
Pamela Hermosilla, Ricardo Soto, Emanuel Vega, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 454-454
Open Access | Times Cited: 7

NevusCheck: A Dysplastic Nevi Detection Model Using Convolutional Neural Networks
Andreluis Ingaroca-Torres, Lucía Heredia-Moscoso, Alvaro Aures-García
(2025), pp. 11-11
Open Access

Lightweight Local–Global Fusion for Robust Multiclass Classification of Skin Lesions
Guangli Li, Xiaofang Zhou, Yiyuan Ye, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access

Revolutionizing Dermatology: A Comprehensive Survey of AI-Enhanced Early Skin Cancer Diagnosis
Zinal M. Gohil, Madhavi B. Desai
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4

Artificial Intelligence based real-time automatic detection and classification of skin lesion in dermoscopic samples using DenseNet-169 architecture
A. Ashwini, Purushothaman Kailasnath, A. Rosi, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 4, pp. 6943-6958
Closed Access | Times Cited: 9

A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention
Anwar Hossain Efat, S. M. Mahedy Hasan, Md Palash Uddin, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0309430-e0309430
Open Access | Times Cited: 2

Skin Melanoma Detection Using Image Augmentation
D. Sivabalaselvamani, K. Nanthini, D. Selvakarthi, et al.
(2023), pp. 1624-1630
Closed Access | Times Cited: 4

A deep convolutional structure-based approach for accurate recognition of skin lesions in dermoscopy images
Shimaa Fawzy, Hossam El-Din Moustafa, Ehab H. Abdelhay, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 5, pp. 5792-5792
Open Access | Times Cited: 2

Skin Lesion Classification through Sequential Triple Attention DenseNet: Diverse Utilization of The Combination of Attention Modules
Shafiullah Shafin, Anwar Hossain Efat, S. M. Mahedy Hasan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2

A Review on Skin Melanoma Classification using different ML and DL Models
Viranchkumar Mayurbhai Kadia, Sheshang Degadwala
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 3, pp. 424-435
Open Access

AI in dermatology: a comprehensive review into skin cancer detection
Kavita Behara, Ernest Bhero, John T. Agee
PeerJ Computer Science (2024) Vol. 10, pp. e2530-e2530
Open Access

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