Open Access Helper

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:

FSE-Net: Rethinking the up-sampling operation in encoder-decoder structure for retinal vessel segmentation
Jiajia Ni, Wei Mu, Anqi Pan, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105861-105861
Closed Access | Times Cited: 8

Showing 8 citing articles:

LMFR-Net: lightweight multi-scale feature refinement network for retinal vessel segmentation
Wenhao Zhang, Shaojun Qu, YueWen Feng
Pattern Analysis and Applications (2025) Vol. 28, Iss. 2
Closed Access
A software for quantitative measurement of vessel parameters in fundus images
Xiaolong Zhu, Wenjian Li, W Zhang, et al.
Computerized Medical Imaging and Graphics (2025), pp. 102548-102548
Closed Access
CFNet: Cross-scale fusion network for medical image segmentation
Amina Benabid, Jing Yuan, Mohammed A. M. Elhassan, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102123-102123
Open Access | Times Cited: 3
MASDF-Net: A Multi-Attention Codec Network with Selective and Dynamic Fusion for Skin Lesion Segmentation
Jinghao Fu, Hongmin Deng
Sensors (2024) Vol. 24, Iss. 16, pp. 5372-5372
Open Access | Times Cited: 1
Segmentation of coronary arteries from X-ray angiographic images using density based spatial clustering of applications with noise (DBSCAN)
Kamran Mardani, Keivan Maghooli, Fardad Farokhi
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107175-107175
Closed Access | Times Cited: 1
An Improved U-Net Model for Simultaneous Nuclei Segmentation and Classification
Taotao Liu, Dongdong Zhang, Hongcheng Wang, et al.
Lecture notes in computer science (2024), pp. 314-325
Closed Access
A multi-scale feature extraction and fusion-based model for retinal vessel segmentation in fundus images
Jinzhi Zhou, Guoqiang Ma, Haoyang He, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Mid-Net: Rethinking Efficient Network Architectures for Small-Sample Vascular Segmentation
Dongxin Zhao, Jianhua Liu, Peng Geng, et al.
Information Fusion (2024), pp. 102777-102777
Closed Access
An adaptive fundus retinal vessel segmentation model capable of adapting to the complex structure of blood vessels
Jianyong Li, Ao Li, Yanhong Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107150-107150
Closed Access
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