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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:

Cascaded context enhancement network for automatic skin lesion segmentation
Ruxin Wang, Shu‐Yuan Chen, Chaojie Ji, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117069-117069
Open Access | Times Cited: 10

Showing 10 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
ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation
Yuliang Ma, WU Li-ping, Yunyuan Gao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2886-2897
Closed Access | Times Cited: 13
RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation
Asim Naveed, Syed S. Naqvi, Shahzaib Iqbal, et al.
Cognitive Computation (2024) Vol. 16, Iss. 5, pp. 2279-2296
Closed Access | Times Cited: 5
Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization
Chuanbo Qin, Bin Zheng, Junying Zeng, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 238, pp. 107601-107601
Open Access | Times Cited: 11
Transformer-based multi-attention hybrid networks for skin lesion segmentation
Z.-W. Dong, Jinjiang Li, Zhen Hua
Expert Systems with Applications (2023) Vol. 244, pp. 123016-123016
Closed Access | Times Cited: 11
USL-Net: Uncertainty self-learning network for unsupervised skin lesion segmentation
Xiaofan Li, Bo Peng, Jie Hu, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105769-105769
Open Access | Times Cited: 5
Multi-scale aggregation networks with flexible receptive fields for melanoma segmentation
Ju Zhang, Weidong Pan, Beng Wang, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103950-103950
Closed Access | Times Cited: 5
Als: Active Learning-Based Image Segmentation Model for Skin Lesion
Xiu Shu, Yunyun Yang, Ruicheng Xie, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 3
TriClick: Interactive Dermoscopic Image Segmentation with Triangle Map
Shuofeng Zhao, Chunzhi Gu, Jun Yu, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2024) Vol. 19, Iss. 5, pp. 733-744
Open Access
Als: Active Learning-Based Image Segmentation Model for Skin Lesion
Xiu Shu, Yunyun Yang, Ruicheng Xie, et al.
SSRN Electronic Journal (2022)
Closed Access
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