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:

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

Showing 7 citing articles:

A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer
Ahmet Nusret Toprak, İbrahim Aruk
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 6

Efficient Skin Lesion Detection using YOLOv9 Network
Faruq Aziz, Daniati Uki Eka Saputri
Journal Medical Informatics Technology (2024), pp. 11-15
Open Access | Times Cited: 5

Cilt Kanseri Tanısı için Farklı Evrişimsel Sinir Ağı Modellerinin Karşılaştırılması
İbrahim Aruk, Ahmet Nusret Toprak
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2025) Vol. 15, Iss. 1, pp. 25-38
Closed Access

Deep Learning Techniques for the Dermoscopic Differential Diagnosis of Benign/Malignant Melanocytic Skin Lesions: From the Past to the Present
Linda Tognetti, Chiara Miracapillo, L. Simone, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 758-758
Open Access | Times Cited: 1

An Efficient Method For Skin Cancer Detection Using Convolutional Neural Network
R. Rajagopal, Karthik Kumar G V, M. Senbagavalli, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1

RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection
Farida Siddiqi Prity, Ahmed Jabid Hasan, Md Mehedi Hassan Anik, et al.
Human-Centric Intelligent Systems (2024)
Open Access

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