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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:

Deep learning design for benign and malignant classification of skin lesions: a new approach
Wessam M. Salamaa, Moustafa H. Aly
Multimedia Tools and Applications (2021) Vol. 80, Iss. 17, pp. 26795-26811
Closed Access | Times Cited: 12

Showing 12 citing articles:

Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images
Evgin Göçeri
Computers in Biology and Medicine (2022) Vol. 152, pp. 106474-106474
Closed Access | Times Cited: 72
Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey
Mehwish Zafar, Muhammad Imran Sharif, Muhammad Irfan Sharif, et al.
Life (2023) Vol. 13, Iss. 1, pp. 146-146
Open Access | Times Cited: 48
Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations
Hyeon Ki Jeong, Christine Park, Ricardo Henao, et al.
JID Innovations (2022) Vol. 3, Iss. 1, pp. 100150-100150
Open Access | Times Cited: 53
An effective multiclass skin cancer classification approach based on deep convolutional neural network
Essam H. Houssein, Doaa A. Abdelkareem, Guang Hu, et al.
Cluster Computing (2024)
Open Access | Times Cited: 9
Skin lesion classification on dermatoscopic images using effective data augmentation and pre-trained deep learning approach
Ferhat Bozkurt
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 18985-19003
Closed Access | Times Cited: 35
Assist-Dermo: A Lightweight Separable Vision Transformer Model for Multiclass Skin Lesion Classification
Qaisar Abbas, Yassine Daadaa, Umer Rashid, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2531-2531
Open Access | Times Cited: 16
Fusion of deep and wavelet feature representation for improved melanoma classification
Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mohapatra
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82749-82775
Closed Access | Times Cited: 4
Recent innovations in machine learning for skin cancer lesion analysis and classification: A comprehensive analysis of computer‐aided diagnosis
Syeda Shamaila Zareen, Md Shamim Hossain, Junsong Wang, et al.
Precision Medical Sciences (2025)
Open Access
Integration of Localized, Contextual, and Hierarchical Features in Deep Learning for Improved Skin Lesion Classification
R. Karthik, Illakiya Thayumanaswamy, Menaka Radhakrishnan, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1338-1338
Open Access | Times Cited: 3
Skin cancer identification utilizing deep learning: A survey
Dulani Meedeniya, Senuri De Silva, L.B. Gamage, et al.
IET Image Processing (2024)
Open Access | Times Cited: 3
Systematic literature review of dermoscopic pigmented skin lesions classification using convolutional neural network (CNN)
Erwin Setyo Nugroho, Igi Ardiyanto, Hanung Adi Nugroho
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 3, pp. 363-363
Open Access | Times Cited: 1
Transfer Learning and Tuning of Deep Pre-trained Architecture for Face Recognition
Shem L. Gonzales
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 691-695
Open Access
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