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 cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification
G. Akilandasowmya, G. Nirmaladevi, Su. Suganthi, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105306-105306
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

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

A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization
Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Heidi Lindroth, Keivan Nalaie, Roshini Raghu, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 81-81
Open Access | Times Cited: 17

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

Design of stacked ensemble classifier for skin cancer detection
Abhishek Das, Mihir Narayan Mohanty
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 1

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

Enhanced Skin Cancer Diagnosis via Deep Convolutional Neural Networks with Ensemble Learning
Mohd Anas Khan, Shahzad Alam, Waseem Ahmed
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access | Times Cited: 1

SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm
Muneezah Hussain, Muhammad Attique Khan, Robertas Damaševičius, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2869-2869
Open Access | Times Cited: 32

Early automated detection system for skin cancer diagnosis using artificial intelligent techniques
Nourelhoda M. Mahmoud, Ahmed M. Soliman
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12

Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
Ulyana A. Lyakhova, Pavel Lyakhov
Computers in Biology and Medicine (2024) Vol. 178, pp. 108742-108742
Closed Access | Times Cited: 6

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: 5

Advances in Sand Cat Swarm Optimization: A Comprehensive Study
Ferzat Anka, Nazim Aghayev
Archives of Computational Methods in Engineering (2025)
Closed Access

A Trustworthy Framework for Skin Cancer Detection Using a CNN with a Modified Attention Mechanism
Su Myat Thwin, Hyun-Seok Park, Soo Hyun Seo
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1067-1067
Open Access

Human Knowledge-based Artificial Intelligence Methods for Skin Cancer Management: Accuracy and Interpretability Study
Eman Rezk, Mohamed Eltorki, Wael El‐Dakhakhni
Smart Health (2025), pp. 100540-100540
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

A novel skin cancer detection architecture using tangent rat swarm optimization algorithm enabled DenseNet
Bhavan Prasad, P. G. Om Prakash, Aravind Karrothu, et al.
Network Computation in Neural Systems (2025), pp. 1-31
Closed Access

Fusion of transformer attention and CNN features for skin cancer detection
Hatice Çatal Reis, Veysel Turk
Applied Soft Computing (2024) Vol. 164, pp. 112013-112013
Closed Access | Times Cited: 4

The Smart deep learning based Model for Early Detection and Diagnosis of Melanoma
Abdul Sajid Mohammed, Anuteja Reddy Neravetla, Sana Samreen, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 3

A Transfer Learning and Feature Ranking-based Feature Extraction Approach for Enhancing Skin Lesion Classification
Niharika Mohanty, Manaswini Pradhan, Pradeep Kumar Mallick, et al.
(2024), pp. 607-613
Closed Access | Times Cited: 1

Cutting-edge Dermatological Advances using Deep Learning for Precise Skin Cancer Classification
Muskan Singla, Kanwarpartap Singh Gill, Mukesh Kumar, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1

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