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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:

Uncertainty-aware deep co-training for semi-supervised medical image segmentation
Xu Zheng, Chong Fu, Haoyu Xie, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106051-106051
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods
Ling Huang, Su Ruan, Yucheng Xing, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103223-103223
Open Access | Times Cited: 15
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation
Himashi Peiris, Munawar Hayat, Zhaolin Chen, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 7, pp. 724-738
Closed Access | Times Cited: 33
AI can empower agriculture for global food security: challenges and prospects in developing nations
Ahmad Ali, Anderson X. W. Liew, Francesca Venturini, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 9
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
Hejun Huang, Zuguo Chen, Chaoyang Chen, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107368-107368
Open Access | Times Cited: 19
Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation
Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 27885-27895
Closed Access | Times Cited: 5
Co-Training Framework for Enhancing Survey Accuracy While Reducing Respondent Burden in Travel Data Collection
Reem Alolabi, Makoto Chikaraishi
(2025)
Closed Access
Self-labeled framework with semi-supervised ball K-means clustering-based synthetic example generation for semi-supervised classification in industrial applications
Junnan Li, Lufeng Wang, Shun Fu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110528-110528
Closed Access
Semi-supervised segmentation of hyperspectral pathological imagery based on shape priors and contrastive learning
Hongmin Gao, Huaiyuan Wang, Lanxin Chen, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105881-105881
Closed Access | Times Cited: 4
An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification
Junnan Li, Shun Fu, Wei Fu, et al.
Neural Networks (2025) Vol. 185, pp. 107142-107142
Closed Access
Consistency and adversarial semi-supervised learning for medical image segmentation
Yongqiang Tang, Shilei Wang, Yuxun Qu, et al.
Computers in Biology and Medicine (2023) Vol. 161, pp. 107018-107018
Closed Access | Times Cited: 10
CRSANet: Class Representations Self-Attention network for the segmentation of thyroid nodules
Shiyao Sun, Chong Fu, Sen Xu, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105917-105917
Closed Access | Times Cited: 3
Urban Aquatic Scene Expansion for Semantic Segmentation in Cityscapes
Zongcheng Yue, Chun Yan Lo, Ran Wu, et al.
Urban Science (2024) Vol. 8, Iss. 2, pp. 23-23
Open Access | Times Cited: 3
Toward Automated Right Ventricle Segmentation via Edge Feature-Induced Self-Attention Multiscale Feature Aggregation Full Convolution Network
Jinping Liu, Mengke Li, Quanquan Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Multi-level uncertainty aware learning for semi-supervised dental panoramic caries segmentation
Xianyun Wang, Sizhe Gao, Kaisheng Jiang, et al.
Neurocomputing (2023) Vol. 540, pp. 126208-126208
Closed Access | Times Cited: 7
SDMI-Net: Spatially Dependent Mutual Information Network for semi-supervised medical image segmentation
Di Gai, Zheng Huang, Weidong Min, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108374-108374
Closed Access | Times Cited: 2
URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation
Chendong Qin, Yongxiong Wang, Jiapeng Zhang
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108278-108278
Closed Access | Times Cited: 2
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
Xu Zheng, Yunhao Luo, Chong Fu, et al.
(2024), pp. 11147-11154
Open Access | Times Cited: 1
MUE-CoT: multi-scale uncertainty entropy-aware co-training framework for left atrial segmentation
Dechen Hao, Hualing Li, Yonglai Zhang, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 21, pp. 215008-215008
Open Access | Times Cited: 2
Confidence-guided mask learning for semi-supervised medical image segmentation
Wenxue Li, Wei Lü, Jinghui Chu, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107398-107398
Closed Access | Times Cited: 2
Entropy‐guided contrastive learning for semi‐supervised medical image segmentation
Junsong Xie, Qian Wu, Renju Zhu
IET Image Processing (2023) Vol. 18, Iss. 2, pp. 312-326
Open Access | Times Cited: 2
Attention decoupled contrastive learning for semi-supervised segmentation method based on data augmentation
Pan Pan, Houjin Chen, Yanfeng Li, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 12, pp. 125017-125017
Open Access
ViT-LOB: Efficient Vision Transformer for StockPrice Trend Prediction Using Limit Order Books
Zhihang Liu, Chiu‐Wing Sham, Longyu Ma, et al.
(2024), pp. 436-438
Closed Access
EBC‐Net: 3D semi‐supervised segmentation of pancreas based on edge‐biased consistency regularization in dual perturbation space
Zheng Li, Shipeng Xie
Medical Physics (2024) Vol. 51, Iss. 11, pp. 8260-8271
Closed Access
Specific Instance and Cross Prompt based Robust 3D Semi-Supervised Medical Image Segmentation
Quan Zhou, Yewei Feng, Zhiwen Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
Semi-supervised adaptive network for commutator defect detection with limited labels
Zhenrong Wang, Weifeng Li, Miao Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 639-651
Closed Access
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