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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:

Skin lesion segmentation using two-phase cross-domain transfer learning framework
Meghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107408-107408
Closed Access | Times Cited: 18

Showing 18 citing articles:

Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Laith Alzubaidi, Asma Salhi, Mohammed A. Fadhel, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299545-e0299545
Open Access | Times Cited: 17
Deep learning-based assessment of knee septic arthritis using transformer features in sonographic modalities
Chung‐Ming Lo, Kuo‐Lung Lai
Computer Methods and Programs in Biomedicine (2023) Vol. 237, pp. 107575-107575
Closed Access | Times Cited: 18
Skin lesion segmentation with a multiscale input fusion U-Net incorporating Res2-SE and pyramid dilated convolution
Zhihui Liu, Jie Hu, Xulu Gong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep Multi-Modal Skin-Imaging-Based Information-Switching Network for Skin Lesion Recognition
Yingzhe Yu, Huiqiong Jia, Li Zhang, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 282-282
Open Access
A comprehensive review on step-based skin cancer detection using machine learning and deep learning methods
Neetu Verma, Ranvijay Singh, Dharmendra Kumar Yadav
Archives of Computational Methods in Engineering (2025)
Closed Access
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: 15
MTRA-CNN: A Multi-Scale Transfer Learning Framework for Glaucoma Classification in Retinal Fundus Images
Sanli Yi, Lingxiang Zhou, Lei Ma, et al.
IEEE Access (2023) Vol. 11, pp. 142689-142701
Open Access | Times Cited: 6
Deep Learning for Skin Lesion Segmentation: A Review and Outlook
Wenjing Yang, Jing Gao, Jingjing Chen, et al.
Lecture notes in electrical engineering (2024), pp. 175-185
Closed Access | Times Cited: 1
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
Mabrook Al‐Rakhami, Salman A. AlQahtani, Abdulaziz M. Alawwad
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Optimized Skin Lesion Segmentation: Analysing DeepLabV3+ and ASSP Against Generative AI-Based Deep Learning Approach
Hassan Masood, Asma Naseer, Mudassir Saeed
Foundations of Science (2024)
Closed Access
Computer libraries used in analysis of dermatological images with computational vision: a literature review
Jose Carlos Huanatico-Lipa, Marco Antonio Coral Ygnacio
Revista Cientifica de Sistemas e Informatica (2024) Vol. 4, Iss. 1, pp. e590-e590
Open Access
Optimized attention-induced multihead convolutional neural network with efficientnetv2-fostered melanoma classification using dermoscopic images
M. Maheswari, Mohamed Uvaze Ahamed Ayoobkhan, C. P. Shirley, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 11, pp. 3311-3325
Closed Access
Inception UNet architecture for breast tumor segmentation and detection using hybrid deep learning approach
Ajay Sharma, Pramod Kumar Mishra
Multimedia Tools and Applications (2024)
Closed Access
Near-field millimeter-wave and visible image fusion via transfer learning
Ming Ye, Yitong Li, Di Wu, et al.
Neural Networks (2024) Vol. 181, pp. 106799-106799
Closed Access
Hybrid Approach for Skin Lesion Analysis: Integrating Modified U-Net Segmentation with Vision Transformers for Multi-Class Skin Cancer Detection
J. Ramya, Anil Kumar K M
(2024)
Closed Access
DMFC-UFormer: Depthwise multi-scale factorized convolution transformer-based UNet for medical image segmentation
Anass Garbaz, Yassine Oukdach, Said Charfi, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107200-107200
Closed Access
Improved Prostate Tumor Segmentation Using Self-Attention Mechanism and SAM Model
Pratiksh Kumar, P. K. Sahu, Shubhendra Gautam, et al.
(2024), pp. 1-6
Closed Access
Segmentação Semântica do Câncer de Pele Utilizando Aprendizado Profundo
João Victor M. da Silva, Kelson Aires, Alan Rafael Ferreira dos Santos, et al.
(2023), pp. 304-315
Open Access | Times Cited: 1
An optimized boosting framework for skin lesion segmentation and classification
Ashok Kumar Yadav, Rajesh Mehta, Vinit Kumar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 53875-53896
Closed Access | Times Cited: 1
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