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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:

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation
Yuexiang Li, Jiawei Chen, Xinpeng Xie, et al.
Lecture notes in computer science (2020), pp. 614-623
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, et al.
Information Fusion (2021) Vol. 76, pp. 243-297
Open Access | Times Cited: 257
Self-supervised learning methods and applications in medical imaging analysis: a survey
Saeed Shurrab, Rehab Duwairi
PeerJ Computer Science (2022) Vol. 8, pp. e1045-e1045
Open Access | Times Cited: 149
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation
Huifeng Yao, Xiaowei Hu, Xiaomeng Li
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 3, pp. 3099-3107
Open Access | Times Cited: 70
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, et al.
Lecture notes in computer science (2020)
Open Access | Times Cited: 127
Deep Neural Architectures for Medical Image Semantic Segmentation: Review
Muhammad Zubair Khan, Mohan Kumar Gajendran, Yugyung Lee, et al.
IEEE Access (2021) Vol. 9, pp. 83002-83024
Open Access | Times Cited: 74
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels
Chu Han, Jiatai Lin, Jinhai Mai, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102487-102487
Open Access | Times Cited: 65
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
Jialin Peng, Ye Wang
IEEE Access (2021) Vol. 9, pp. 36827-36851
Open Access | Times Cited: 60
Uncertainty-aware pseudo-label and consistency for semi-supervised medical image segmentation
Liyun Lu, Mengxiao Yin, Liyao Fu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104203-104203
Closed Access | Times Cited: 38
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 483-513
Open Access | Times Cited: 24
A Review of Self-supervised Learning Methods in the Field of Medical Image Analysis
Jiashu Xu
International Journal of Image Graphics and Signal Processing (2021) Vol. 13, Iss. 4, pp. 33-46
Open Access | Times Cited: 41
Semi-Supervised Unpaired Medical Image Segmentation Through Task-Affinity Consistency
Jingkun Chen, Jianguo Zhang, Kurt Debattista, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 3, pp. 594-605
Open Access | Times Cited: 35
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation
Chenchu Xu, Yuan Yang, Zhiqiang Xia, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 4, pp. 1156-1170
Closed Access | Times Cited: 17
FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation
Jianghao Wu, Dong Guo, Guotai Wang, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3098-3109
Open Access | Times Cited: 6
Building Extraction from Very-High-Resolution Remote Sensing Images Using Semi-Supervised Semantic Edge Detection
Liegang Xia, Xiongbo Zhang, Junxia Zhang, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2187-2187
Open Access | Times Cited: 34
Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation
Xiao Liu, Spyridon Thermos, Alison Q. O’Neil, et al.
Lecture notes in computer science (2021), pp. 307-317
Closed Access | Times Cited: 33
Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework
Wei Lou, Haofeng Li, Guanbin Li, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 4, pp. 947-958
Open Access | Times Cited: 26
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision
Jian Wang, Lingjie Liu, Weipeng Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13147-13156
Open Access | Times Cited: 25
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement
Qiangguo Jin, Hui Cui, Changming Sun, et al.
Lecture notes in computer science (2022), pp. 3-13
Closed Access | Times Cited: 22
Pre-training in Medical Data: A Survey
Yixuan Qiu, Feng‐Huei Lin, Weitong Chen, et al.
Deleted Journal (2023) Vol. 20, Iss. 2, pp. 147-179
Open Access | Times Cited: 15
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement
Fang Chen, Lingyu Chen, Wentao Kong, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 12, pp. 3779-3793
Closed Access | Times Cited: 15
HybridVPS: Hybrid-Supervised Video Polyp Segmentation Under Low-Cost Labels
Wenxue Li, Xinyu Xiong, Siying Li, et al.
IEEE Signal Processing Letters (2023) Vol. 31, pp. 111-115
Closed Access | Times Cited: 14
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation
Jun Lyu, Bin Sui, Chengyan Wang, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120836-120836
Closed Access | Times Cited: 13
Breast cancer classification based on breast tissue structures using the Jigsaw puzzle task in self-supervised learning
Keisuke Sugawara, Eichi Takaya, Ryusei Inamori, et al.
Radiological Physics and Technology (2025)
Open Access
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)
Jianfei Liu, Sayantan Bhadra, Omid Shafaat, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 122, pp. 102517-102517
Closed Access
Semi‐supervised medical image segmentation based on dual swap data mixing and cross EMA strategies
Licheng Zheng, Lihui Wang, Yingfeng Ou, et al.
Medical Physics (2025)
Closed Access
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