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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 comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges
Eman Rezk, May Haggag, Mohamed Eltorki, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100259-100259
Open Access | Times Cited: 9

Showing 9 citing articles:

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
A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning
Puneet Thapar, Manik Rakhra, Mahmood Alsaadi, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100326-100326
Open Access | Times Cited: 5
Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy
Wajeeha Saeed, Esha Shahbaz, Quratulain Maqsood, et al.
Cancer Control (2024) Vol. 31
Open Access | Times Cited: 4
Human Knowledge-based Artificial Intelligence Methods for Skin Cancer Management: Accuracy and Interpretability Study
Eman Rezk, Mohamed Eltorki, Wael El‐Dakhakhni
Smart Health (2025), pp. 100540-100540
Closed Access
Integration of Multimodal Data Sources for Enhanced Skin Disease Classification and Cancer Prediction: A Study Leveraging Pre-Trained Models on HAM_10000 Metadata and Squamous Cell Carcinoma (SCC) Images.
Aamir Khan, Nisha Chandran S., Durgaprasad Gangodkar
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Integration of Multimodal Data Sources for Enhanced Skin Disease Classification and Cancer Prediction: A Study Leveraging Pre-Trained Models on HAM_10000 Metadata and Squamous Cell Carcinoma (SCC) Images.
Aamir Khan, Nisha Chandran S., Durgaprasad Gangodkar
Research Square (Research Square) (2024)
Open Access
Leveraging Data Augmentation and Dropout Layer in MobileNetV3 for Accurate Skin Cancer Detection ISIC Dataset
Anggi Muhammad Rifa’i, Ahmad Turmudi Zy, Wahyu Hadikristanto, et al.
(2024), pp. 591-596
Closed Access
Aplicaciones de la Inteligencia Artificial en el diagnóstico y tratamiento dermatológico: Avances prometedores y desafíos por resolver
Andrea Paola Alcivar Aguirre, Alfonso Fabricio Correa Andrade, Jenniffer Alexandra Morales Alomaliza, et al.
(2023)
Open Access
Updates in Dermatopathology: Emerging Trends in Diagnosis and Classification
Et al. Asma Hussain
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 8, pp. 459-465
Open Access
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