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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:

Multiclass skin cancer classification using EfficientNets – a first step towards preventing skin cancer
Karar Ali, Zaffar Ahmed Shaikh, Abdullah Ayub Khan, et al.
Neuroscience Informatics (2021) Vol. 2, Iss. 4, pp. 100034-100034
Open Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
Maryam Tahir, Ahmad Naeem, Hassaan Malik, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2179-2179
Open Access | Times Cited: 103
A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images
Vipin Venugopal, Navin Infant Raj, Malaya Kumar Nath, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100278-100278
Open Access | Times Cited: 46
Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models
Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, et al.
Information (2023) Vol. 14, Iss. 7, pp. 415-415
Open Access | Times Cited: 45
DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Ahmad Naeem, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0297667-e0297667
Open Access | Times Cited: 21
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: 19
Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention mechanism
Abdulrahman Alqarafi, Arfat Ahmad Khan, Rakesh Kumar Mahendran, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106313-106313
Open Access | Times Cited: 16
Concatenated Xception-ResNet50 — A novel hybrid approach for accurate skin cancer prediction
Alavikunhu Panthakkan, S. M. Anzar, Sangeetha Jamal, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106170-106170
Closed Access | Times Cited: 48
LinkNet-B7: Noise Removal and Lesion Segmentation in Images of Skin Cancer
Cihan AKYEL, Nursal Arıcı
Mathematics (2022) Vol. 10, Iss. 5, pp. 736-736
Open Access | Times Cited: 40
HGRBOL2: Human gait recognition for biometric application using Bayesian optimization and extreme learning machine
Muhammad Attique Khan, Habiba Arshad, Wazir Zada Khan, et al.
Future Generation Computer Systems (2023) Vol. 143, pp. 337-348
Closed Access | Times Cited: 34
Skin Cancer Classification Framework Using Enhanced Super Resolution Generative Adversarial Network and Custom Convolutional Neural Network
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1210-1210
Open Access | Times Cited: 30
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102036-102036
Closed Access | Times Cited: 29
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: 27
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: 24
Enhanced Skin Cancer Classification using Deep Learning and Nature-based Feature Optimization
Talha Imran, Ahmed S. Alghamdi, Mohammed Saeed Alkatheiri
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 12702-12710
Open Access | Times Cited: 12
An Intelligent Mechanism to Detect Multi-Factor Skin Cancer
Abdullah Abdullah, Ansar Siddique, Kamran Shaukat, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1359-1359
Open Access | Times Cited: 10
Automated estimation of cementitious sorptivity via computer vision
Hossein Kabir, Jun-Ting Wu, Sunav Dahal, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks
Kavita Behara, Ernest Bhero, John T. Agee
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1546-1546
Open Access | Times Cited: 9
Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 8
CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets
Mominul Islam, Hasib Zunair, Nabeel Mohammed
Computers in Biology and Medicine (2024) Vol. 172, pp. 108317-108317
Open Access | Times Cited: 8
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
Optimizing Skin Cancer Diagnosis: A Modified Ensemble Convolutional Neural Network for Classification
A. Vidhyalakshmi, M. Kanchana
Microscopy Research and Technique (2025)
Closed Access | Times Cited: 1
Robustness, Stability, and Fidelity of Explanations for a Deep Skin Cancer Classification Model
Mirka Saarela, Lilia Geogieva
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9545-9545
Open Access | Times Cited: 32
Skin Cancer Detection Based on Deep Learning
Reza Ahmadi Mehr, Ali Ameri
Journal of Biomedical Physics and Engineering (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 31
BIoMT Modular Infrastructure: The Recent Challenges, Issues, and Limitations in Blockchain Hyperledger-Enabled E-Healthcare Application
Zaffar Ahmed Shaikh, Abdullah Ayub Khan, Lin Teng, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 28
EfficientSkinDis: An EfficientNet-based classification model for a large manually curated dataset of 31 skin diseases
Abdul Rafay, Waqar Hussain
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104869-104869
Closed Access | Times Cited: 20
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