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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-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

Showing 14 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: 19
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
Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation
Ling Huang, Su Ruan, Pierre Decazes, et al.
Information Fusion (2024) Vol. 113, pp. 102648-102648
Closed Access | Times Cited: 6
Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning
Huiting Zhang, Xiaotang Yang, Shuang Qiu, et al.
Expert Systems with Applications (2025), pp. 126640-126640
Closed Access
CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation
Yiqiu Qi, Lijun Wei, Jinzhu Yang, et al.
Computerized Medical Imaging and Graphics (2025), pp. 102525-102525
Closed Access
DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation
Xinyi Zeng, Pinxian Zeng, Cheng Tang, et al.
Lecture notes in computer science (2023), pp. 502-512
Closed Access | Times Cited: 6
Deep Evidential Fusion with Uncertainty Quantification and Reliability Learning for Multimodal Medical Image Segmentation
Ling Huang, Su Ruan, Pierre Decazes, et al.
(2024)
Closed Access | Times Cited: 2
Texture feature-aware consistency for semi-supervised honeycomb lung lesion segmentation
Jinjie Xie, Gang Li, Ling Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125119-125119
Closed Access | Times Cited: 2
Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One
Qiankun Ma, J. Gao, Bo Zhan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 16324-16333
Closed Access | Times Cited: 4
Uncertainty-aware consistency learning for semi-supervised medical image segmentation
Min Dong, Ai‐Li Yang, Zhenhang Wang, et al.
Knowledge-Based Systems (2024), pp. 112890-112890
Closed Access | Times Cited: 1
A deep learning-based semiautomated workflow for triaging follow-up MR scans in treated nasopharyngeal carcinoma
Yingying Huang, Yishu Deng, Yang Liu, et al.
iScience (2023) Vol. 26, Iss. 12, pp. 108347-108347
Open Access | Times Cited: 1
Defect Segmentation with Limited Labeled Data Using Consistency Regularization and Activation Map Interpolation
Rahul Rathnakumar, Yongming Liu
(2024)
Closed Access
Alleviating Class Imbalance in Semi-supervised Multi-organ Segmentation via Balanced Subclass Regularization
Zhenghao Feng, Lu Wen, Binyu Yan, et al.
IEEE Signal Processing Letters (2024) Vol. 31, pp. 2450-2454
Open Access
Defect Segmentation with Limited Labeled Data Using Consistency Regularization and Activation Map Interpolation
Rahul Rathnakumar, Yongming Liu
(2023)
Closed Access
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