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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:

CU-Net: A New Improved Multi-Input Color U-Net Model for Skin Lesion Semantic Segmentation
Rania Ramadan, Saleh Aly
IEEE Access (2022) Vol. 10, pp. 15539-15564
Open Access | Times Cited: 46

Showing 1-25 of 46 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
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Marriam Nawaz, Tahira Nazir, Momina Masood, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 6, pp. 2137-2153
Closed Access | Times Cited: 54
FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation
H. Sharen, Malathy Jawahar, L. Jani Anbarasi, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106037-106037
Closed Access | Times Cited: 9
State-of-the-art skin disease classification: a review of deep learning models
Oluwayemisi Jaiyeoba, Emeka Ogbuju, Grace Ataguba, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation
Zexuan Ji, Yuxuan Ye, Xiao Ma
Artificial Intelligence in Medicine (2025), pp. 103079-103079
Closed Access
GREnet: Gradually REcurrent Network With Curriculum Learning for 2-D Medical Image Segmentation
Jinting Wang, Yujiao Tang, Yang Xiao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 7, pp. 10018-10032
Closed Access | Times Cited: 13
RETRACTED ARTICLE: Design of an efficient multimodal engine for preemption and post-treatment recommendations for skin diseases via a deep learning-based hybrid bioinspired process
Samit Shivadekar, Bhavesh Kataria, Suresh Limkar, et al.
Soft Computing (2023) Vol. 28, Iss. S2, pp. 685-685
Closed Access | Times Cited: 13
Automated Skin Cancer Diagnosis and Localization Using Deep Reinforcement Learning
G. Renith, A. Senthilselvi
IETE Journal of Research (2024) Vol. 70, Iss. 4, pp. 3631-3645
Closed Access | Times Cited: 4
S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation
Francis Jesmar P. Montalbo
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106047-106047
Closed Access | Times Cited: 4
SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network
Muhammad Azeem, Kaveh Kiani, Taha Mansouri, et al.
Cancers (2023) Vol. 16, Iss. 1, pp. 108-108
Open Access | Times Cited: 9
DGCU–Net: A new dual gradient-color deep convolutional neural network for efficient skin lesion segmentation
Rania Ramadan, Saleh Aly
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103829-103829
Closed Access | Times Cited: 13
Impact of optimizers functions on detection of Melanoma using transfer learning architectures
Serhat Kılıçarslan, Hatice Aktaş Aydın, Kemal Adem, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 2
An Attention-Based Improved U-Net Neural Network Model for Semantic Segmentation of Moving Objects
Zhihao Cui
IEEE Access (2024) Vol. 12, pp. 57071-57081
Open Access | Times Cited: 1
A Review of Computer Assistance in Dermatology
Shaik Reshma, S R Reeja
(2023)
Closed Access | Times Cited: 4
Machine‐learning model to delineate sub‐surface agricultural drainage from satellite imagery
Fleford Redoloza, Tanja N. Williamson, Alexander O. Headman, et al.
Journal of Environmental Quality (2023) Vol. 52, Iss. 4, pp. 907-921
Open Access | Times Cited: 4
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
Skin lesion image segmentation based on improved U-shaped network
Yuhang Zhao, Tianxing Yan, Yaermaimaiti Yilihamu
International Journal of Intelligent Robotics and Applications (2024) Vol. 8, Iss. 3, pp. 609-618
Closed Access | Times Cited: 1
Wall-Cor Net: wall color replacement via Clifford chance-based deep generative adversarial network
M. Sabitha Preethi, M. Geetha, T. Jaya, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 5, pp. 4075-4084
Closed Access | Times Cited: 1
A Bi-directionally Fused Boundary Aware Network for Skin Lesion Segmentation
Feiniu Yuan, Y. Peng, Qinghua Huang, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 6340-6353
Closed Access | Times Cited: 1
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network
Rania Ramadan, Saleh Aly, Mahmoud Abdel-Atty
Health Information Science and Systems (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Skin Lesion Segmentation based on U-Shaped Network
Muna Khalaf, Ban N. Dhannoon
Karbala International Journal of Modern Science (2022) Vol. 8, Iss. 3, pp. 493-502
Open Access | Times Cited: 7
MSeg-Net: A Melanoma Mole Segmentation Network Using CornerNet and Fuzzy K -Means Clustering
Marriam Nawaz, Tahira Nazir, Muhammad Attique Khan, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 6
A Modified UNet for Skin Lesion Segmentation using Transfer Learning
Afroza Akter, Kaushik Deb, Sharmistha Chanda Tista, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Double-Coding Skin Disease Segmentation Based on Attention Mechanism
Guoliang Yang, Ziling Nie, Ji‐Xiang Wang, et al.
Advances in transdisciplinary engineering (2024)
Open Access
Performance Evaluation of U-Net Based Methods for Lesion Segmentation from Dermoscopy Images
Musa Doğan, İlker Ali Özkan
Proceedings of international conference on intelligent systems and new applications. (2024)
Open Access
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