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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:

TC-Net: Dual coding network of Transformer and CNN for skin lesion segmentation
Yuying Dong, Liejun Wang, Yongming Li
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277578-e0277578
Open Access | Times Cited: 14

Showing 14 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: 85
A survey on deep learning for skin lesion segmentation
Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102863-102863
Open Access | Times Cited: 76
An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation
Do-Hai-Ninh Nham, Minh-Nhat Trinh, Viet-Dung Nguyen, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104631-104631
Closed Access | Times Cited: 19
Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model
Ahmed A. A. Gad-Elrab, Guangmin Sun, Anas Bilal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
DBNet-SI: Dual branch network of shift window attention and inception structure for skin lesion segmentation
Xuqiong Luo, Hao Zhang, Xiaofei Huang, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108090-108090
Closed Access | Times Cited: 3
Identifying the role of vision transformer for skin cancer—A scoping review
Sulaiman Khan, Hazrat Ali, Zubair Shah
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 8
DEEPSCAN: Integrating Vision Transformers for Advanced Skin Lesion Diagnostics
A Jenefa, Edward Naveen, Vinayakumar Ravi, et al.
The Open Dermatology Journal (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention
Anwar Hossain Efat, S. M. Mahedy Hasan, Md Palash Uddin, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0309430-e0309430
Open Access | Times Cited: 2
AFCF-Net: A novel U-Net based asymmetric feature calibration and fusion network for skin lesion image segmentation
Zhanlin Ji, Zidong Yu, Chunling Liu, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0314000-e0314000
Open Access | Times Cited: 1
Integrating Artificial Intelligence and Microfluidics Technology for Psoriasis Therapy: A Comprehensive Review for Research and Clinical Applications
Ibrahim Shaw, Yimer Seid Ali, Nie Changhong, et al.
Advanced Intelligent Systems (2024)
Closed Access | Times Cited: 1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation
Ali Karimi, Karim Faez, Soheila Nazari
IEEE Access (2023) Vol. 11, pp. 134804-134821
Open Access | Times Cited: 3
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
UCSwin‐UNet model for medical image segmentation based on cardiac haemangioma
Jianting Shi, Gui‐Xu Qu, Zhi‐Jun Li
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3302-3315
Open Access
Can Vision Transformers Be the Next State-of-the-Art Model for Oncology Medical Image Analysis?
S. Venugopal
AI in Precision Oncology (2024) Vol. 1, Iss. 6, pp. 286-305
Closed Access
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