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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:

Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
Solene Bechelli, Jérôme Delhommelle
Bioengineering (2022) Vol. 9, Iss. 3, pp. 97-97
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
Talha Mahboob Alam, Kamran Shaukat, Wasim Ahmad Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2115-2115
Open Access | Times Cited: 121
A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm
Zhang Li, Jian Yong Zhang, Gao Wen-lian, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105858-105858
Closed Access | Times Cited: 65
Skin Cancer Detection Using Deep Learning—A Review
Maryam Naqvi, Syed Qasim Gilani, Tehreem Syed, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1911-1911
Open Access | Times Cited: 53
Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification
G. Akilandasowmya, G. Nirmaladevi, Su. Suganthi, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105306-105306
Closed Access | Times Cited: 41
Comparative Study for Predicting Melanoma Skin Cancer Using Linear Discriminant Analysis (LDA) and Classification Algorithms
Abidemi Emmanuel Adeniyi, Joyce Busola Ayoola, Yousef Farhaoui, et al.
Lecture notes in networks and systems (2024), pp. 326-338
Closed Access | Times Cited: 29
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System
Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh. Abdullah Al-Aff, et al.
International Journal of Biomedical Imaging (2024) Vol. 2024, pp. 1-18
Open Access | Times Cited: 15
Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review
Hoda Naseri, Ali Asghar Safaei
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification
Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315120-e0315120
Open Access | Times Cited: 1
Performance Enhancement of Skin Cancer Classification Using Computer Vision
Ahmed Magdy, Hadeer Hussein, Rehab F. Abdel‐Kader, et al.
IEEE Access (2023) Vol. 11, pp. 72120-72133
Open Access | Times Cited: 22
SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Pronab Ghosh, Sami Azam, Ryana Quadir, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 34
A Sustainable Solution to Skin Diseases: Ecofriendly Transdermal Patches
Eylul Gulsen Yilmaz, Emre Ece, Özgecan Erdem, et al.
Pharmaceutics (2023) Vol. 15, Iss. 2, pp. 579-579
Open Access | Times Cited: 16
The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review
Joseph Okeibunor, Anelisa Jaca, Chinwe Juliana Iwu, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 15
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
Deep Neural Networks for Skin Cancer Classification: Analysis of Melanoma Cancer Data
Stephen Afrifa, V. Vijayakumar, Peter Appiahene, et al.
Journal of Advances in Information Technology (2025) Vol. 16, Iss. 1, pp. 1-11
Open Access
Optimizing the parameters of machine learning techniques using bat algorithm in the analysis of skin cancer
Gokila Brindha Paramasivam, R. R. Rajalaxmi, Azhaku Mohana Nagaraj, et al.
AIP conference proceedings (2025) Vol. 3159, pp. 020013-020013
Closed Access
Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
A hybrid fused-KNN based intelligent model to access melanoma disease risk using indoor positioning system
Sushruta Mishra, Himansu Das, Sunil Kumar Mohapatra, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things
John Mulo, Hengshuo Liang, Mian Qian, et al.
Future Internet (2025) Vol. 17, Iss. 3, pp. 107-107
Open Access
A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Hatice Çatal Reis, Veysel Turk
Computers in Biology and Medicine (2025) Vol. 189, pp. 109916-109916
Closed Access
Deep Learning Approaches for the Classification of Keloid Images in the Context of Malignant and Benign Skin Disorders
O. E. Adebayo, B. Chatelain, Dumitru Trucu, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 710-710
Open Access
An Advanced Deep Learning Framework for Skin Cancer Classification
Muhammad Amir Khan, Muhammad Danish Ali, Tehseen Mazhar, et al.
The Review of Socionetwork Strategies (2025)
Closed Access
A decision tree model for the prediction of the stay time of ships in Brazilian ports
Levi Ribeiro de Abreu, Ingrid S.F. Maciel, Joab S. Alves, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105634-105634
Closed Access | Times Cited: 22
Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble
Md Hossain, Md. Moazzem Hossain, Most. Binoee Arefin, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 89-89
Open Access | Times Cited: 13
Reduction of overfitting on the highly imbalanced ISIC-2019 skin dataset using deep learning frameworks
Erapaneni Gayatri, S. L. Aarthy
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 1, pp. 53-68
Closed Access | Times Cited: 4
Artificial Intelligence Applied to Non-Invasive Imaging Modalities in Identification of Nonmelanoma Skin Cancer: A Systematic Review
Emilie A. Foltz, Alexander Witkowski, Alyssa L. Becker, et al.
Cancers (2024) Vol. 16, Iss. 3, pp. 629-629
Open Access | Times Cited: 4
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