Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning
Omneya Attallah
Computers in Biology and Medicine (2024) Vol. 178, pp. 108798-108798
Closed Access | Times Cited: 16

Showing 16 citing articles:

A novel CNN-ViT-based deep learning model for early skin cancer diagnosis
İshak Paçal, B. Özdemir, Javanshir Zeynalov, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107627-107627
Closed Access | Times Cited: 1
A robust deep learning framework for multiclass skin cancer classification
Burhanettin Özdemir, İshak Paçal
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets
Omneya Attallah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Can deep learning effectively diagnose cardiac amyloidosis with 99mTc-PYP scintigraphy?
Adem Maman, İshak Paçal, Fatih Batı
Journal of Radioanalytical and Nuclear Chemistry (2024)
Closed Access | Times Cited: 5
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
Computers in Biology and Medicine (2025) Vol. 186, pp. 109704-109704
Closed Access
Cf-Wiad: Consistency Fusion with Weighted Instance and Adaptive Distribution for Enhanced Semi-Supervised Skin Lesion Classification
Dandan Wang, Kang An, Yaling Mo, et al.
(2025)
Closed Access
Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection
Omneya Attallah
Technologies (2025) Vol. 13, Iss. 2, pp. 54-54
Open Access
Enhancing Skin Cancer Detection Through Category Representation and Fusion of Pre-Trained Models
lingping kong, Juan D. Velásquez, Václav Snåšel, et al.
(2025)
Closed Access
Enhancing Skin Cancer Diagnosis Through Fine‐Tuning of Pretrained Models: A Two‐Phase Transfer Learning Approach
Entesar Hamed I. Eliwa
International Journal of Breast Cancer (2025) Vol. 2025, Iss. 1
Open Access
SADASNet: A Selective and Adaptive Deep Architecture Search Network with Hyperparameter Optimization for Robust Skin Cancer Classification
Günay İlker, Özkan İNİK
Diagnostics (2025) Vol. 15, Iss. 5, pp. 541-541
Open Access
WCFormer: An interpretable deep learning framework for heart sound signal analysis and automated diagnosis of cardiovascular diseases
Suiyan Wang, Junhui Hu, Yanwei Du, et al.
Expert Systems with Applications (2025), pp. 127238-127238
Closed Access
An Innovative Deep Learning Framework for Skin Cancer Detection Employing ConvNeXtV2 and Focal Self-Attention Mechanisms
B. Özdemir, İshak Paçal
Results in Engineering (2024), pp. 103692-103692
Open Access | Times Cited: 4
A Hybrid Trio-Deep Feature Fusion Model for Improved Skin Cancer Classification: Merging Dermoscopic and DCT Images
Omneya Attallah
Technologies (2024) Vol. 12, Iss. 10, pp. 190-190
Open Access | Times Cited: 1
Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review
Ricardo Vardasca, Joaquim Mendes, Carolina Magalhaes
Journal of Imaging (2024) Vol. 10, Iss. 11, pp. 265-265
Open Access
Advanced Skin Cancer Classification using EfficientNetB1: Enhancing Diagnosis and Interpretability
Priyanka Shah, Khushi Kadel, K. Sankar, et al.
(2024), pp. 1382-1387
Closed Access
Enhancing the performance of CNN models for pneumonia and skin cancer detection using novel fractional activation function
Meshach Kumar, Utkal Mehta
Applied Soft Computing (2024), pp. 112500-112500
Closed Access
Utilizing convolutional neural networks and vision transformers for precise corn leaf disease identification
İshak Paçal, Gültekin Işık
Neural Computing and Applications (2024)
Closed Access
Page 1

Scroll to top