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 lesion image classification method based on extension theory and deep learning
Xiaofei Bian, Haiwei Pan, Kejia Zhang, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 12, pp. 16389-16409
Closed Access | Times Cited: 9

Showing 9 citing articles:

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: 55

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

An enhanced skin lesion detection and classification model using hybrid convolution-based ensemble learning model
D. Nagadevi, Suman Kothakonda, P. Sampurna Lakshmi
Research on Biomedical Engineering (2024) Vol. 40, Iss. 2, pp. 347-372
Closed Access | Times Cited: 1

Ensemble Deep Learning Methods for Detecting Skin Cancer
Mahnoor Sardar, Muhammad Niazi, Fawad Nasim
Bulletin of Business and Economics (BBE) (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 1

A Comprehensive Approach to Classify the Skin Cancer Disease Using Latest CNN Model (YOLOv8)
Priya Sen Purkait, Nandan Ghosh, S. Dey, et al.
Advances in intelligent systems and computing (2024), pp. 159-169
Closed Access

Malignant melanoma dermoscopy image classification method based on multi‐modal medical features
Xiaofei Bian, Haiwei Pan, Kejia Zhang, et al.
IET Image Processing (2023) Vol. 17, Iss. 9, pp. 2611-2627
Open Access | Times Cited: 1

Comprehensive performance assessment on LBE-helium heat exchangers for the ADS based on extension theory
Keyong Cheng, Zhijiang Meng, Xunfeng Li, et al.
Case Studies in Thermal Engineering (2023) Vol. 53, pp. 103793-103793
Open Access | Times Cited: 1

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