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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:

Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
Solene Bechelli, Jérôme Delhommelle
Bioengineering (2022) Vol. 9, Iss. 3, pp. 97-97
Open Access | Times Cited: 86

Showing 26-50 of 86 citing articles:

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
Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy
Wajeeha Saeed, Esha Shahbaz, Quratulain Maqsood, et al.
Cancer Control (2024) Vol. 31
Open Access | Times Cited: 4
Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review
Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, et al.
Future Internet (2024) Vol. 16, Iss. 11, pp. 394-394
Open Access | Times Cited: 4
Vision Transformer based Deep Learning Model for Monkeypox Detection
Dipanjali Kundu, Umme Raihan Siddiqi, Md Mahbubur Rahman
(2022), pp. 1021-1026
Closed Access | Times Cited: 19
The Power of Generative AI to Augment for Enhanced Skin Cancer Classification: A Deep Learning Approach
Mudassir Saeed, Asma Naseer, Hassan Masood, et al.
IEEE Access (2023) Vol. 11, pp. 130330-130344
Open Access | Times Cited: 11
Integration of Localized, Contextual, and Hierarchical Features in Deep Learning for Improved Skin Lesion Classification
R. Karthik, Illakiya Thayumanaswamy, Menaka Radhakrishnan, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1338-1338
Open Access | Times Cited: 3
Skin Cancer Prediction using Deep Learning Techniques
Tayyab Irfan, Abid Rauf, M. Javed Iqbal
(2023), pp. 1-5
Closed Access | Times Cited: 9
A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges
Eman Rezk, May Haggag, Mohamed Eltorki, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100259-100259
Open Access | Times Cited: 9
Deep Learning for Automatic Diagnosis of Skin Cancer Using Dermoscopic Images
S. Rama Krishna, V. Karthik Raj, Anand Gudur, et al.
Journal of Artificial Intelligence and Technology (2024)
Open Access | Times Cited: 2
Skin Lesion Classification using Deep Feature Fusion and Selection Using XGBoost Classifier
Ritesh Maurya, Anant Krisn Bais, T. Gopalakrishnan, et al.
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 64, pp. 1-5
Closed Access | Times Cited: 2
Integrating Principal Component Analysis and Multi-Input Convolutional Neural Networks for Advanced Skin Lesion Cancer Classification
Rakhmonova Madinakhon, Mukhtorov Doniyorjon, Young Im Cho
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5233-5233
Open Access | Times Cited: 2
A survey of recent advances in analysis of skin images
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Evolutionary Intelligence (2024) Vol. 17, Iss. 5-6, pp. 4155-4178
Closed Access | Times Cited: 2
Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
Md. Abul Ala Walid, Swarnali Mollick, Pintu Chandra Shill, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3155-3155
Open Access | Times Cited: 6
Advancing skin cancer diagnosis with a multi‐branch ShuffleNet architecture
G. Prince Devaraj, Radhika Ravi
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 1
Cancer Detection Using Deep Learning
Lalitha Rajeswari B, Hema Latha M, N. Sai Karthikeya, et al.
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 3, pp. 1503-1510
Open Access | Times Cited: 1
Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm
Taofik Ahmed Suleiman, Daniel Tweneboah Anyimadu, Andrew Dwi Permana, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Automated cutaneous squamous cell carcinoma grading using deep learning with transfer learning
Alexandra Buruiană, Mircea-Sebastian Șerbănescu, Bogdan Pop, et al.
Romanian Journal of Morphology and Embryology (2024) Vol. 65, Iss. 2, pp. 243-250
Open Access | Times Cited: 1
Mobile Application and Machine Learning-Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors
Huaiyan Jiang, Han Wang, Ting Pan, et al.
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1053-1053
Open Access | Times Cited: 1
A three-tier BERT based transformer framework for detecting and classifying skin cancer with HSCGS algorithm
Joseph George, Anne Koteswara Rao
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 51441-51467
Closed Access | Times Cited: 4
Classification of Cocoa Beans by Analyzing Spectral Measurements Using Machine Learning and Genetic Algorithm
Kacoutchy Jean Ayikpa, Pierre Gouton, Mamadou Diarra, et al.
Journal of Imaging (2024) Vol. 10, Iss. 1, pp. 19-19
Open Access | Times Cited: 1
A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration
Giovana A. Benvenuto, Marilaine Colnago, Maurício Araújo Dias, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 369-369
Open Access | Times Cited: 7
An automated hybrid attention based deep convolutional capsule with weighted autoencoder approach for skin cancer classification
R. P. Desale, Pravin Patil
The Imaging Science Journal (2023) Vol. 72, Iss. 7, pp. 840-854
Closed Access | Times Cited: 3
Skin Cancer Classification Using Transfer Learning-Based Pre-Trained VGG 16 Model
Archana Saini, Kalpna Guleria, Shagun Sharma
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023)
Closed Access | Times Cited: 3
Deep Learning Algorithms for Skin Cancer Classification
Mariame Oumoulylte, Ahmad El Allaoui, Yousef Farhaoui, et al.
Lecture notes in networks and systems (2023), pp. 345-351
Closed Access | Times Cited: 2
Detection of Corneal Ulcer Using a Genetic Algorithm-Based Image Selection and Residual Neural Network
Tugba Inneci, Hasan Badem
Bioengineering (2023) Vol. 10, Iss. 6, pp. 639-639
Open Access | Times Cited: 2

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