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:

2-HDCNN: A two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma
Y Nancy Jane, S. K. Charanya, M Amsaprabhaa, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106333-106333
Closed Access | Times Cited: 13

Showing 13 citing articles:

DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework
Nirmala Veeramani, Premaladha Jayaraman, R. Krishankumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11

An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification
Soufiane Hamida, Driss Lamrani, Mohammed Amine Bouqentar, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 02, pp. 78-94
Open Access | Times Cited: 5

Multimodal Skin Cancer Prediction: Integrating Dermoscopic Images and Clinical Metadata with Transfer Learning
Ramya Panneerselvam, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, et al.
The Open Bioinformatics Journal (2025) Vol. 18, Iss. 1
Open Access

Detection and classification of emotions through novel long short-term algorithm and compare the accuracy with bagging classifier algorithm
Samadhi Dilli, R. Senthil Kumar
AIP conference proceedings (2025) Vol. 3252, pp. 020151-020151
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

Fusion between an Algorithm Based on the Characterization of Melanocytic Lesions' Asymmetry with an Ensemble of Convolutional Neural Networks for Melanoma Detection
Jules Collenne, Jilliana Monnier, Rabah Iguernaissi, et al.
Journal of Investigative Dermatology (2024) Vol. 144, Iss. 7, pp. 1600-1607.e2
Open Access | Times Cited: 3

Enhancing Skin Diseases Classification Through Dual Ensemble Learning and Pre-trained CNNs
Oussama El Gannour, Soufiane Hamida, Yasser Lamalem, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 7

Skin Melanoma Detection Using Image Augmentation
D. Sivabalaselvamani, K. Nanthini, D. Selvakarthi, et al.
(2023), pp. 1624-1630
Closed Access | Times Cited: 4

DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection
Hatice Çatal Reis, Veysel Turk
Pattern Recognition (2024) Vol. 159, pp. 111182-111182
Closed Access | Times Cited: 1

Optimizing Hyperparameters for Improved Melanoma Classification using Metaheuristic Algorithm
Shamsuddeen Adamu, Hitham Alhussian, Norshakirah Aziz, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access | Times Cited: 2

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