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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:

Skin Cancer Diagnosis Based on Neutrosophic Features with a Deep Neural Network
Sumit Kumar Singh, Vahid Abolghasemi, Mohammad Hossein Anisi
Sensors (2022) Vol. 22, Iss. 16, pp. 6261-6261
Open Access | Times Cited: 11

Showing 11 citing articles:

A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102036-102036
Closed Access | Times Cited: 29
Analysis of Artificial Intelligence-Based Approaches Applied to Non-Invasive Imaging for Early Detection of Melanoma: A Systematic Review
Raj H. Patel, Emilie A. Foltz, Alexander Witkowski, et al.
Cancers (2023) Vol. 15, Iss. 19, pp. 4694-4694
Open Access | Times Cited: 22
An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation
Yanhui Guo, Ahmed I. Shahin, Harish Garg
Expert Systems with Applications (2024) Vol. 246, pp. 123156-123156
Open Access | Times Cited: 8
Naturalize Revolution: Unprecedented AI-Driven Precision in Skin Cancer Classification Using Deep Learning
Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda‐Carreras, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 638-660
Open Access | Times Cited: 4
A Systematic Review on Skin Cancer Classification and Novel Approaches in Deep Learning
Vunnam Narmada, K. Asish Vardhan
Smart innovation, systems and technologies (2025), pp. 563-573
Closed Access
An efficient multi-class classification of skin cancer using optimized vision transformer
R. P. Desale, Pravin Patil
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 3, pp. 773-789
Closed Access | Times Cited: 8
Noise Resilience in Dermoscopic Image Segmentation: Comparing Deep Learning Architectures for Enhanced Accuracy
Fatih Ergin, İsmail Burak Parlak, Mouloud Adel, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3414-3414
Open Access | Times Cited: 1
A Study of Neutrosophic Sets and Deep Learning Models for Breast Cancer Classification
Walid Abdullah
Deleted Journal (2024) Vol. 3, pp. 50-59
Open Access
Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review
Ricardo Vardasca, Joaquim Mendes, Carolina Magalhaes
Journal of Imaging (2024) Vol. 10, Iss. 11, pp. 265-265
Open Access
Artificial Intelligence Framework for Skin Lesion Prediction Using Medical Dermoscopic Images
Humam AbuAlkebash, Radhwan A. A. Saleh, H. Metin Ertunç, et al.
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2023), pp. 1-6
Closed Access | Times Cited: 1
Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithm
Aqeel Ahmed, G. M. Faruk Ahmed, E Qureshi, et al.
European Journal of Theoretical and Applied Sciences (2023) Vol. 1, Iss. 6, pp. 1136-1143
Open Access | Times Cited: 1
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