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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:

Augmented Intelligence enabled Deep Neural Networking (AuDNN) framework for skin cancer classification and prediction using multi-dimensional datasets on industrial IoT standards
Amit Kumar K, T. Y. Satheesha, Bizotto Beatriz Lucia Salvador, et al.
Microprocessors and Microsystems (2023) Vol. 97, pp. 104755-104755
Closed Access | Times Cited: 19

Showing 19 citing articles:

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: 26
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 21
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions
Iqra Ahmad, Javeria Amin, M. Ikram Ullah Lali, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106084-106084
Closed Access | Times Cited: 8
A lightweight deep convolutional neural network model for skin cancer image classification
Türker Tuncer, Prabal Datta Barua, Ilknur Tuncer, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111794-111794
Closed Access | Times Cited: 8
A model for skin cancer using combination of ensemble learning and deep learning
Mehdi Hosseinzadeh, Dildar Hussain, Firas Muhammad Zeki Mahmood, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0301275-e0301275
Open Access | Times Cited: 6
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
Convolutional Neural Network-based image tamper detection with Error Level Analysis
S Manjunatha, M D Swetha, S Rashmi, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 2
An enhanced skin lesion detection and classification model using hybrid convolution-based ensemble learning model
D. Nagadevi, Suman Kothakonda, P. Sampurna Lakshmi
Research on Biomedical Engineering (2024) Vol. 40, Iss. 2, pp. 347-372
Closed Access | Times Cited: 2
Skin Melanoma Detection Using Image Augmentation
D. Sivabalaselvamani, K. Nanthini, D. Selvakarthi, et al.
(2023), pp. 1624-1630
Closed Access | Times Cited: 4
Integration of Multimodal Data Sources for Enhanced Skin Disease Classification and Cancer Prediction: A Study Leveraging Pre-Trained Models on HAM_10000 Metadata and Squamous Cell Carcinoma (SCC) Images.
Aamir Khan, Nisha Chandran S., Durgaprasad Gangodkar
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
Hari Mohan, Joon Yoo, Abdul Razaque
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3555-3580
Closed Access | Times Cited: 1
Integration of Multimodal Data Sources for Enhanced Skin Disease Classification and Cancer Prediction: A Study Leveraging Pre-Trained Models on HAM_10000 Metadata and Squamous Cell Carcinoma (SCC) Images.
Aamir Khan, Nisha Chandran S., Durgaprasad Gangodkar
Research Square (Research Square) (2024)
Open Access
Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization
Amit Kumar K, Satheesha T.Y., Syed Thouheed Ahmed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique
Sreedhar Kumar S, Syed Thouheed Ahmed, Afifa Salsabil Fathima, et al.
Multimedia Tools and Applications (2024)
Closed Access
Addressing Challenges in Skin Cancer Diagnosis: A Convolutional Swin Transformer Approach
Sudha Paraddy, Virupakshappa Virupakshappa
Deleted Journal (2024)
Closed Access
Detection of Melanoma Insitu Using Trained CNN Model
R. SethuMadhavi, Anitha Premkumar, T. Y. Satheesha, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Optimizing Healthcare Operations With AI Algorithms by Enhancing Skin Cancer Diagnosis Using Advanced Image Processing and Classification Techniques
Abioye Abiodun Oluwasegun, Abraham E. Evwiekpaefe, Philip O. Odion, et al.
Advances in healthcare information systems and administration book series (2024), pp. 235-276
Closed Access
AI in dermatology: a comprehensive review into skin cancer detection
Kavita Behara, Ernest Bhero, John T. Agee
PeerJ Computer Science (2024) Vol. 10, pp. e2530-e2530
Open Access
Non-Fungible Token based Smart Manufacturing to scale Industry 4.0 by using Augmented Reality, Deep Learning and Industrial Internet of Things
Fazeel Ahmed Khan, Adamu Abubakar Ibrahim
International Journal on Perceptive and Cognitive Computing (2023) Vol. 9, Iss. 2, pp. 62-72
Open Access | Times Cited: 1
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