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:

Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Sarmad Maqsood, Robertas Damaševičius
Neural Networks (2023) Vol. 160, pp. 238-258
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System
Krishna Mridha, Md. Mezbah Uddin, Jungpil Shin, et al.
IEEE Access (2023) Vol. 11, pp. 41003-41018
Open Access | Times Cited: 80

SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
Ahmad Naeem, Tayyaba Anees, Mudassir Khalil, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 1030-1030
Open Access | Times Cited: 28

LBO-MPAM: Ladybug Beetle Optimization-based multilayer perceptron attention module for segmenting the skin lesion and automatic localization
V. Sellam, Kannan Natrajan, Senthil Pandi S, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2024), pp. 1-26
Closed Access | Times Cited: 25

A systematic literature survey on skin disease detection and classification using machine learning and deep learning
Rashmi Yadav, Aruna Bhat
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78093-78124
Closed Access | Times Cited: 15

DM-CNN: Dynamic Multi-scale Convolutional Neural Network with uncertainty quantification for medical image classification
Qi Han, Xin Qian, Hongxiang Xu, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107758-107758
Closed Access | Times Cited: 24

D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
Veena Dillshad, Muhammad Attique Khan, Muhammad Nazir, et al.
CAAI Transactions on Intelligence Technology (2023)
Open Access | Times Cited: 23

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

Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
Taye Girma Debelee
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3147-3147
Open Access | Times Cited: 22

MOX-NET: Multi-stage deep hybrid feature fusion and selection framework for monkeypox classification
Sarmad Maqsood, Robertas Damaševičius, Sana Shahid, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124584-124584
Closed Access | Times Cited: 11

FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation
H. Sharen, Malathy Jawahar, L. Jani Anbarasi, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106037-106037
Closed Access | Times Cited: 9

A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions
Iqra Ahmad, Javeria Amin, M. Ikram Ullah Lali, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106084-106084
Closed Access | Times Cited: 8

A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 19

An internet of health things-driven skin cancer classification using progressive cyclical convolutional neural network with ResNexT50 optimized by exponential particle swarm optimization
K. S. Bhuvaneshwari, L. Rama Parvathy, K Chatrapathy, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105878-105878
Closed Access | Times Cited: 6

YoTransViT: A transformer and CNN method for predicting and classifying skin diseases using segmentation techniques
Dip Kumar Saha, Ashif Mahmud Joy, Anup Majumder
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101495-101495
Open Access | Times Cited: 6

Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access

Multi-Skin disease classification using hybrid deep learning model
K. Jeyageetha, K. Vijayalakshmi, S. Suresh, et al.
Technology and Health Care (2025)
Open Access

Refactored Maskformer: Refactor localization and classification for improved universal image segmentation
Xingliang Zhu, Xiaoyu Dong, Weiwei Yu, et al.
Displays (2025) Vol. 87, pp. 102981-102981
Open Access

Explainable Cubic Attention-Based Autoencoder for Skin Cancer Classification
Inzamam Mashood Nasir, Sara Tehsin, Robertas Damaševičius, et al.
Lecture notes in computer science (2025), pp. 124-134
Closed Access

Self-attention transformer unit-based deep learning framework for skin lesions classification in smart healthcare
Khosro Rezaee, Hossein Ghayoumi Zadeh
Deleted Journal (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 4

Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
Shake Ibna Abir, Shaharina Shoha, Sarder Abdulla Al Shiam, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 5, pp. 168-180
Open Access | Times Cited: 4

ConvNeXt-ST-AFF: A Novel Skin Disease Classification Model Based on Fusion of ConvNeXt and Swin Transformer
Shengnan Hao, Liguo Zhang, Yanyan Jiang, et al.
IEEE Access (2023) Vol. 11, pp. 117460-117473
Open Access | Times Cited: 11

The Artificial Intelligence in Teledermatology: A Narrative Review on Opportunities, Perspectives, and Bottlenecks
Daniele Giansanti
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 10, pp. 5810-5810
Open Access | Times Cited: 10

Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization
Chuanbo Qin, Bin Zheng, Junying Zeng, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 238, pp. 107601-107601
Open Access | Times Cited: 10

Skin cancer detection from dermoscopic images using Deep Siamese domain adaptation convolutional Neural Network optimized with Honey Badger Algorithm
P. Narmatha, Shivani Gupta, T. R. Vijaya Lakshmi, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105264-105264
Closed Access | Times Cited: 10

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