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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:

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning
Kaiping Wang, Bo Zhan, Chen Zu, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102447-102447
Closed Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation
Rushi Jiao, Yichi Zhang, Le Ding, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107840-107840
Open Access | Times Cited: 132
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak, Zhaozheng Yin
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19786-19797
Closed Access | Times Cited: 74
Deep semi-supervised learning for medical image segmentation: A review
Kai Han, Victor S. Sheng, Yuqing Song, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123052-123052
Closed Access | Times Cited: 52
Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation
Hengyi Yang, Tao Zhou, Yi Zhou, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3349-3359
Closed Access | Times Cited: 45
A survey on semi-supervised graph clustering
Fatemeh Daneshfar, Sayvan Soleymanbaigi, P. Yamini, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108215-108215
Closed Access | Times Cited: 19
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: 19
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation
Ange Lou, Kareem O. Tawfik, Xing Yao, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 2832-2841
Open Access | Times Cited: 29
Multi-level progressive transfer learning for cervical cancer dose prediction
Lu Wen, Jianghong Xiao, Jie Zeng, et al.
Pattern Recognition (2023) Vol. 141, pp. 109606-109606
Closed Access | Times Cited: 28
Semi-Supervised Medical Image Segmentation With Voxel Stability and Reliability Constraints
Yang Zhao, Ke Lü, Jian Xue, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 3912-3923
Closed Access | Times Cited: 24
Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration
Syna Sreng, P. Ramesh, Pham Duc Nam Phuong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Correlation-based switching mean teacher for semi-supervised medical image segmentation
Guocheng DENG, Hao Sun, Wei Xie
Neurocomputing (2025), pp. 129818-129818
Closed Access | Times Cited: 1
Multi-scale feature fusion for facial expression recognition
Jiatao Guo, Junjie Peng, Yansong Huang, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation
Kaiping Wang, Yan Wang, Bo Zhan, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 09
Closed Access | Times Cited: 30
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification
Zhengyang Jiao, Xingchen Peng, Yan Wang, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102902-102902
Closed Access | Times Cited: 23
Semi-supervised medical image segmentation via hard positives oriented contrastive learning
Cheng Tang, Xinyi Zeng, Luping Zhou, et al.
Pattern Recognition (2023) Vol. 146, pp. 110020-110020
Closed Access | Times Cited: 23
Dual-Contrastive Dual-Consistency Dual-Transformer: A Semi-Supervised Approach to Medical Image Segmentation
Ziyang Wang, Congying Ma
(2023)
Closed Access | Times Cited: 23
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: 21
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
Duowen Chen, Yunhao Bai, Wei Shen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 23869-23878
Open Access | Times Cited: 17
Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images
Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 115, pp. 102383-102383
Open Access | Times Cited: 8
DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation
Yuxiang Yang, Lu Wen, Pinxian Zeng, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 7
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Qiangguo Jin, Hui Cui, Changming Sun, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122093-122093
Open Access | Times Cited: 15
Anatomically-aware uncertainty for semi-supervised image segmentation
Sukesh Adiga Vasudeva, José Dolz, Hervé Lombaert
Medical Image Analysis (2023) Vol. 91, pp. 103011-103011
Open Access | Times Cited: 15
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation
Yuang Shi, Chen Zu, Pinli Yang, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110598-110598
Closed Access | Times Cited: 14
Semi-supervised information fusion for medical image analysis: Recent progress and future perspectives
Ying Weng, Yiming Zhang, Wenxin Wang, et al.
Information Fusion (2024) Vol. 106, pp. 102263-102263
Open Access | Times Cited: 5
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: 5
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