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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:

Multi-class skin lesion classification using prism- and segmentation-based fractal signatures
José Ariel Camacho-Gutíerrez, Selene Solorza-Calderón, Josué Álvarez-Borrego
Expert Systems with Applications (2022) Vol. 197, pp. 116671-116671
Closed Access | Times Cited: 19

Showing 19 citing articles:

A survey, review, and future trends of skin lesion segmentation and classification
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106624-106624
Open Access | Times Cited: 83
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Fayadh Alenezi, Ammar Armghan, Kemal Polat
Expert Systems with Applications (2022) Vol. 213, pp. 119064-119064
Closed Access | Times Cited: 62
Machine Learning Approaches for Skin Cancer Classification from Dermoscopic Images: A Systematic Review
Flavia Grignaffini, Francesco Barbuto, Lorenzo Piazzo, et al.
Algorithms (2022) Vol. 15, Iss. 11, pp. 438-438
Open Access | Times Cited: 38
A novel nonlinear automated multi-class skin lesion detection system using soft-attention based convolutional neural networks
Adi Alhudhaif, Bandar Almaslukh, Ahmad O. Aseeri, et al.
Chaos Solitons & Fractals (2023) Vol. 170, pp. 113409-113409
Closed Access | Times Cited: 31
D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
Veena Dillshad, Muhammad Attique Khan, Muhammad Nazir, et al.
CAAI Transactions on Intelligence Technology (2023)
Open Access | Times Cited: 23
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: 22
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
DED: Diagnostic Evidence Distillation for acne severity grading on face images
Lin Yi, Jingchi Jiang, Dongxin Chen, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120312-120312
Closed Access | Times Cited: 8
Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
V. Auxilia Osvin Nancy, P. Prabhavathy, Meenakshi S. Arya, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 45913-45957
Closed Access | Times Cited: 8
Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images
Flavia Grignaffini, Maurizio Troiano, Francesco Barbuto, et al.
Algorithms (2023) Vol. 16, Iss. 10, pp. 466-466
Open Access | Times Cited: 5
Class Activation Maps-based Feature Augmentation for long-tailed classification
Jiawei Niu, Zuowei Zhang, Zhunga Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123588-123588
Closed Access | Times Cited: 1
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability
Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Skin Cancer Detection Using Multi Class CNN Algorithm
G Dhivya, K Luckshana, M Miduna, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2023), pp. 1353-1356
Closed Access | Times Cited: 2
SCCNet: Skin Cancer Detection and Multi-Class Classification Using Deep CNN Model with Estimated Disease Probabilities
V. Arunkumar, C Chandana, Goli Supraja, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access
Optimizing Skin Lesion Classification Via Multimodal Data and Auxiliary Task Integration
Mahapara Khurshid, Mayank Vatsa, Richa Singh
(2024), pp. 1-5
Open Access
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability
Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
Classification of Skin Lesion Images Using Artificial Intelligence Methodologies through Radial FourierMellin, Hilbert Transforms Signatures
Esperanza Guerra-Rosas, Luis Felipe López-Ávila, Esbanyely Garza-Flores, et al.
(2023)
Open Access | Times Cited: 1
Systematic literature review of dermoscopic pigmented skin lesions classification using convolutional neural network (CNN)
Erwin Setyo Nugroho, Igi Ardiyanto, Hanung Adi Nugroho
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 3, pp. 363-363
Open Access | Times Cited: 1
Classification of Skin Lesion Images Using Artificial Intelligence Methodologies through Radial Fourier–Mellin and Hilbert Transform Signatures
Esperanza Guerra-Rosas, Luis Felipe López-Ávila, Esbanyely Garza-Flores, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11425-11425
Open Access
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