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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:

Melanoma Classification from Dermoscopy Images Using Ensemble of Convolutional Neural Networks
Rehan Raza, Fatima Zulfiqar, Shehroz Tariq, et al.
Mathematics (2021) Vol. 10, Iss. 1, pp. 26-26
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Rehan Raza, Fatima Zulfiqar, Muhammad Owais Khan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106902-106902
Open Access | Times Cited: 80
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: 2
Privacy Preserving Image Encryption with Optimal Deep Transfer Learning Based Accident Severity Classification Model
Uddagiri Sirisha, B. Sai Chandana
Sensors (2023) Vol. 23, Iss. 1, pp. 519-519
Open Access | Times Cited: 24
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
Feature augmentation-based CNN framework for skin-cancer diagnosis
Emmanuel Pintelas, Ioannis E. Livieris, Basil Tampakas, et al.
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access | Times Cited: 1
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Shafia Riaz, Ahmad Naeem, Hassaan Malik, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8457-8457
Open Access | Times Cited: 16
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
Dermatopathology of Malignant Melanoma in the Era of Artificial Intelligence: A Single Institutional Experience
Gerardo Cazzato, Alessandro Massaro, Anna Colagrande, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1972-1972
Open Access | Times Cited: 24
Attention-Based Inception-Residual CNN: Skin Cancer Diagnosis with Attention-Based Inception-Residual CNN Model
Shoaib Younas, Allah Bux Sargano, Lihua You, et al.
Information (2025) Vol. 16, Iss. 2, pp. 120-120
Open Access
Improved performance on melanoma skin cancer classification using deep learning based ensemble technique
Naga Swetha R, Vimal K. Shrivastava, Mohammad Farukh Hashmi
Intelligent Data Analysis (2025)
Closed Access
Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images
Shamim Yousefi, Samad Najjar-Ghabel, Ramin Danehchin, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101944-101944
Open Access | Times Cited: 4
Automatic base-model selection for white blood cell image classification using meta-learning
Eduardo Rivas-Posada, Mario I. Chacón-Murguía
Computers in Biology and Medicine (2023) Vol. 163, pp. 107200-107200
Closed Access | Times Cited: 9
PCA: Progressive class-wise attention for skin lesions diagnosis
Asim Naveed, Syed S. Naqvi, Tariq Khan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107417-107417
Closed Access | Times Cited: 9
Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN‐LSTM model
K. P. Arjun, K. Sampath Kumar, Rajesh Kumar Dhanaraj, et al.
Microscopy Research and Technique (2024) Vol. 87, Iss. 8, pp. 1789-1809
Closed Access | Times Cited: 3
Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions
Arthur Cartel Foahom Gouabou, Jules Collenne, Jilliana Monnier, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 22, pp. 13838-13838
Open Access | Times Cited: 15
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
H. M. Shahzad, Sohail Masood Bhatti, Arfan Jaffar, et al.
IEEE Access (2023) Vol. 11, pp. 94281-94289
Open Access | Times Cited: 7
Advancements in skin cancer classification: a review of machine learning techniques in clinical image analysis
Guang Yang, Suhuai Luo, Peter B. Greer
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 2
Computer-Aided Diagnosis for Early Signs of Skin Diseases Using Multi Types Feature Fusion Based on a Hybrid Deep Learning Model
Saleh Naif Almuayqil, Sameh Abd El-Ghany, Mohammed Elmogy
Electronics (2022) Vol. 11, Iss. 23, pp. 4009-4009
Open Access | Times Cited: 11
Computational Intelligence-Based Melanoma Detection and Classification Using Dermoscopic Images
Thavavel Vaiyapuri, Prasanalakshmi Balaji, S. Shridevi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 10
A Deep Learning-Based Mobile Application for Monkeypox Detection
Haifa F. Alhasson, Elaf Almozainy, Manar Alharbi, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12589-12589
Open Access | Times Cited: 4
The effect of hair removal and filtering on melanoma detection: a comparative deep learning study with AlexNet CNN
Angélica Quishpe-Usca, Stefany Cuenca-Dominguez, Araceli Arias-Viñansaca, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1953-e1953
Open Access | Times Cited: 1
DXDSENet-CM model: an ensemble learning model based on depthwise Squeeze-and-Excitation ConvMixer architecture for the classification of multi-class skin lesions
Hüseyin Fırat, Hüseyin Üzen
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Hierarchical agglomerative clustering-based skin lesion detection with region based neural networks classification
M. V. S. Ramprasad, S.S.V. Nagesh, V. Sahith, et al.
Measurement Sensors (2023) Vol. 29, pp. 100865-100865
Open Access | Times Cited: 3
Machine Learning for Time-to-Event Prediction and Survival Clustering: A Review from Statistics to Deep Neural Networks
Jinyuan Luo, Linhai Xie, Hong Yang, et al.
Communications in computer and information science (2024), pp. 174-192
Closed Access
Brain MRI classification for tumor detection with deep pre-trained models
Ameni Yazzeoui, Afef Elloumi Oueslati
(2024), pp. 182-187
Closed Access
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