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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:

Residual-atrous attention network for lumbosacral plexus segmentation with MR image
Junyong Zhao, Liang Sun, Xin Zhou, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 100, pp. 102109-102109
Closed Access | Times Cited: 11

Showing 11 citing articles:

MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion
Mengqi Xu, Qianting Ma, Huajie Zhang, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 114, pp. 102370-102370
Closed Access | Times Cited: 16
Edge-enhanced semi-supervised vertical convolutional neural network for tubular structure segmentation: Application to medical images
Junyong Zhao, Liang Sun, Zhi Sun, et al.
Pattern Recognition (2025), pp. 111302-111302
Closed Access
Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models
Qian Du, Xinxin Shao, Mingbo Zhang, et al.
Digital Health (2025) Vol. 11
Open Access
Attention-interactive horizontal–vertical graph-aware network for medical spine segmentation
Yuyu Tian, Yalong Lv, Xiaoyi Cai
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110013-110013
Closed Access
Synchronous Medical Image Augmentation framework for deep learning-based image segmentation
Jianguo Chen, Nan Yang, Yuhui Pan, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 104, pp. 102161-102161
Closed Access | Times Cited: 13
RUnT: A Network Combining Residual U-Net and Transformer for Vertebral Edge Feature Fusion Constrained Spine CT Image Segmentation
Hao Xu, Xinxin Cui, Chaofan Li, et al.
IEEE Access (2023) Vol. 11, pp. 55692-55705
Open Access | Times Cited: 6
MCGFF-Net: a multi-scale context-aware and global feature fusion network for enhanced polyp and skin lesion segmentation
Yanxiang Li, Wenzhe Meng, Dehua Ma, et al.
The Visual Computer (2024)
Closed Access | Times Cited: 1
Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI
Jing Liu, Yuee Zhou, Xinxin Cui, et al.
IEEE Access (2024) Vol. 12, pp. 77999-78013
Open Access
MP-FocalUNet: Multiscale Parallel Focal Self-Attention U-Net for Medical Image Segmentation
Chuan Wang, Mingfeng Jiang, Yang Li, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 260, pp. 108562-108562
Closed Access
Prominent caudal shift of the lumbar plexus roots in spines with 18 thoracolumbar vertebrae
Tomokazu Kawashima, Fumi Sato
Surgical and Radiologic Anatomy (2023) Vol. 45, Iss. 10, pp. 1245-1256
Closed Access | Times Cited: 1
A dual channel and spatial attention network for automatic spine segmentation of MRI images
Mengdan Cheng, Juan Qin, Lianrong Lv, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 5, pp. 1634-1646
Closed Access
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