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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:

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

Showing 1-25 of 132 citing articles:

How Segment Anything Model (Sam) Boost Medical Image Segmentation: A Survey
Yichi Zhang, Rushi Jiao
(2023)
Closed Access | Times Cited: 108
Segment anything model for medical image segmentation: Current applications and future directions
Yichi Zhang, Zhenrong Shen, Rushi Jiao
Computers in Biology and Medicine (2024) Vol. 171, pp. 108238-108238
Open Access | Times Cited: 68
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
2MGAS-Net: multi-level multi-scale gated attentional squeezed network for polyp segmentation
Ibtissam Bakkouri, Siham Bakkouri
Signal Image and Video Processing (2024) Vol. 18, Iss. 6-7, pp. 5377-5386
Closed Access | Times Cited: 36
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
Jiawei Su, Zhiming Luo, Sheng Lian, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103111-103111
Closed Access | Times Cited: 31
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
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation
Yichi Zhang, Rushi Jiao, Qingcheng Liao, et al.
Artificial Intelligence in Medicine (2022) Vol. 138, pp. 102476-102476
Open Access | Times Cited: 51
Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI
Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 28
Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation
Xiaoyu Liu, Linhao Qu, Ziyue Xie, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Own-background contrastive learning guided by pseudo-label for semi-supervised medical image segmentation
Huijie Fan, Jinghan Cao, Xi’ai Chen, et al.
Applied Soft Computing (2025), pp. 112749-112749
Closed Access | Times Cited: 1
MCU-RE: Integrating visual state space and local dependencies for retinal edema segmentation
Limai Jiang, Yunpeng Cai
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107519-107519
Closed 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-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI
Wenxia Wu, Jing Yan, Yuanshen Zhao, et al.
Displays (2023) Vol. 78, pp. 102402-102402
Closed Access | Times Cited: 21
UCM-Net: A lightweight and efficient solution for skin lesion segmentation using MLP and CNN
Chunyu Yuan, Dongfang Zhao, Sos С. Agaian
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106573-106573
Open Access | Times Cited: 8
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Blake VanBerlo, Jesse Hoey, Alexander Wong
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Segmenting medical images with limited data
Zhaoshan Liu, Qiujie Lv, Chau Hung Lee, et al.
Neural Networks (2024) Vol. 177, pp. 106367-106367
Open Access | Times Cited: 7
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
Multispectral Semantic Segmentation for Land Cover Classification: An Overview
Leo Ramos, Ángel D. Sappa
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14295-14336
Open Access | Times Cited: 6
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi, Jian Pang, Bingfeng Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 4070-4080
Closed Access | Times Cited: 6
Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions
Andrea Frosolini, Leonardo Franz, Valeria Caragli, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7126-7126
Open Access | Times Cited: 6
Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio
Patrick Thiam, Christopher Kloth, Daniel Blaich, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li, Haoran Wang, Yucong Meng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 5
A Comprehensive Review of Deep Learning for Medical Image Segmentation
Qingling Xia, Hong Zheng, Hongbin Zou, et al.
Neurocomputing (2024) Vol. 613, pp. 128740-128740
Closed Access | Times Cited: 5
Semi-supervised image segmentation using a residual-driven mean teacher and an exponential Dice loss
Chenyang Mei, Xiaoguo Yang, Mi Zhou, et al.
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102757-102757
Closed Access | Times Cited: 4
Linear semantic transformation for semi-supervised medical image segmentation
Cheng Chen, Yunqing Chen, Xiaoheng Li, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108331-108331
Closed Access | Times Cited: 4
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