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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:

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification
Mohammed A. Al‐masni, Dong‐Hyun Kim, Tae‐Seong Kim
Computer Methods and Programs in Biomedicine (2020) Vol. 190, pp. 105351-105351
Closed Access | Times Cited: 292

Showing 26-50 of 292 citing articles:

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: 2
AI-Driven Enhancement of Skin Cancer Diagnosis: A Two-Stage Voting Ensemble Approach Using Dermoscopic Data
Tsu‐Man Chiu, Yunchang Li, I-Chun Chi, et al.
Cancers (2025) Vol. 17, Iss. 1, pp. 137-137
Open Access | Times Cited: 1
AI for radiographic COVID-19 detection selects shortcuts over signal
Alex J. DeGrave, Joseph D. Janizek, Su‐In Lee
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 114
“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”
Mugahed A. Al-antari, Cam-Hao Hua, Jaehun Bang, et al.
Applied Intelligence (2020) Vol. 51, Iss. 5, pp. 2890-2907
Open Access | Times Cited: 104
Deep Learning in Skin Disease Image Recognition: A Review
Lingfang Li, Xu Wang, Weijian Hu, et al.
IEEE Access (2020) Vol. 8, pp. 208264-208280
Open Access | Times Cited: 98
A two‐stream deep neural network‐based intelligent system for complex skin cancer types classification
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 12, pp. 10621-10649
Open Access | Times Cited: 93
An approach for multiclass skin lesion classification based on ensemble learning
Zillur Rahman, Md. Sabir Hossain, Md. Rabiul Islam, et al.
Informatics in Medicine Unlocked (2021) Vol. 25, pp. 100659-100659
Open Access | Times Cited: 90
Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification
R. Karthik, Tejas Sunil Vaichole, Sanika Kulkarni, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103406-103406
Closed Access | Times Cited: 90
A multilevel features selection framework for skin lesion classification
Tallha Akram, Hafiz Muhammad Junaid Lodhi, Syed Rameez Naqvi, et al.
Human-centric Computing and Information Sciences (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 87
Deep learning based classification of facial dermatological disorders
Evgin Göçeri
Computers in Biology and Medicine (2020) Vol. 128, pp. 104118-104118
Closed Access | Times Cited: 81
The effects of skin lesion segmentation on the performance of dermatoscopic image classification
Amirreza Mahbod, Philipp Tschandl, Georg Langs, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105725-105725
Open Access | Times Cited: 80
Melanoma Diagnosis Using Deep Learning and Fuzzy Logic
Shubhendu Banerjee, Sumit Kumar Singh, Avishek Chakraborty, et al.
Diagnostics (2020) Vol. 10, Iss. 8, pp. 577-577
Open Access | Times Cited: 78
Refined Residual Deep Convolutional Network for Skin Lesion Classification
Khalid M. Hosny, Mohamed A. Kassem
Journal of Digital Imaging (2022) Vol. 35, Iss. 2, pp. 258-280
Open Access | Times Cited: 60
Deep Learning and Machine Learning Techniques of Diagnosis Dermoscopy Images for Early Detection of Skin Diseases
Ibrahim Abunadi, Ebrahim Mohammed Senan
Electronics (2021) Vol. 10, Iss. 24, pp. 3158-3158
Open Access | Times Cited: 59
Skin cancer image segmentation utilizing a novel EN-GWO based hyper-parameter optimized FCEDN
Rasmiranjan Mohakud, Rajashree Dash
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 9889-9904
Open Access | Times Cited: 49
Skin Lesion Classification Using Collective Intelligence of Multiple Neural Networks
Dan Popescu, Mohamed El-Khatib, Loretta Ichim
Sensors (2022) Vol. 22, Iss. 12, pp. 4399-4399
Open Access | Times Cited: 49
Survey of Supervised Learning for Medical Image Processing
Abeer Aljuaid, Mohd Anwar
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 39
Fuzzy Logic with Deep Learning for Detection of Skin Cancer
Sumit Kumar Singh, Vahid Abolghasemi, Mohammad Hossein Anisi
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8927-8927
Open Access | Times Cited: 29
Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review
Khalid M. Hosny, Doaa Elshoura, Ehab R. Mohamed, et al.
IEEE Access (2023) Vol. 11, pp. 85467-85488
Open Access | Times Cited: 26
Multi-feature Fusion Deep Network for Skin Disease Diagnosis
Ajay Gairola, Vidit Kumar, Ashok Kumar Sahoo, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
Enhancing skin lesion classification with advanced deep learning ensemble models: a path towards accurate medical diagnostics
M. S. Kavitha, Sumathy Gnanagurusubbiah, Reena Roy Roby Roy, et al.
Current Problems in Cancer (2024) Vol. 49, pp. 101077-101077
Closed Access | Times Cited: 8
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features
Seyed Mohammad Alizadeh, Ali Mahloojifar
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 695-707
Closed Access | Times Cited: 64
Deep Semantic Segmentation and Multi-Class Skin Lesion Classification Based on Convolutional Neural Network
Muhammad Almas Anjum, Javaria Amin, Muhammad Sharif, et al.
IEEE Access (2020) Vol. 8, pp. 129668-129678
Open Access | Times Cited: 63
Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis
B. Thiyaneswaran, K. Anguraj, S. Kumarganesh, et al.
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 682-694
Closed Access | Times Cited: 52
Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition
Xiaohong Wang, Xudong Jiang, Henghui Ding, et al.
Pattern Recognition (2021) Vol. 120, pp. 108075-108075
Open Access | Times Cited: 42

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