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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:

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
Xiaoming Liu, Quan Yuan, Yaozong Gao, et al.
Pattern Recognition (2021) Vol. 122, pp. 108341-108341
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Transformer and convolutional based dual branch network for retinal vessel segmentation in OCTA images
Xiaoming Liu, Di Zhang, Junping Yao, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104604-104604
Closed Access | Times Cited: 41
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation
Zihan Li, Yuan Zheng, Dandan Shan, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 6, pp. 2254-2265
Open Access | Times Cited: 27
Addressing inconsistent labeling with cross image matching for scribble-based medical image segmentation
Jingkun Chen, Wenjian Huang, Jianguo Zhang, et al.
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 842-853
Closed Access | Times Cited: 1
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
Xiangde Luo, Minhao Hu, Wenjun Liao, et al.
Lecture notes in computer science (2022), pp. 528-538
Closed Access | Times Cited: 56
Scribble-Supervised LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Luc Van Gool
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 2687-2697
Open Access | Times Cited: 55
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
Guotai Wang, Xiangde Luo, Ran Gu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107398-107398
Open Access | Times Cited: 34
An evolvable adversarial network with gradient penalty for COVID-19 infection segmentation
Juanjuan He, Qi Zhu, Kai Zhang, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107947-107947
Open Access | Times Cited: 46
Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation
Fei Lyu, Mang Ye, Jonathan Frederik Carlsen, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 3, pp. 797-809
Closed Access | Times Cited: 35
GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features
Chaodong Fan, Zhenhuan Zeng, Leyi Xiao, et al.
Pattern Recognition (2022) Vol. 132, pp. 108963-108963
Open Access | Times Cited: 29
FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting
Meilu Zhu, Zhen Chen, Yixuan Yuan
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 6, pp. 1632-1643
Closed Access | Times Cited: 17
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation
Heng Cai, Shumeng Li, Lei Qi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 33, pp. 3302-3311
Open Access | Times Cited: 17
MixSegNet: Fusing multiple mixed-supervisory signals with multiple views of networks for mixed-supervised medical image segmentation
Ziyang Wang, Chen Yang
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108059-108059
Closed Access | Times Cited: 7
GoogLeNet-AL: A fully automated adaptive model for lung cancer detection
Lei Ma, Huiqun Wu, P. Samundeeswari
Pattern Recognition (2024) Vol. 155, pp. 110657-110657
Closed Access | Times Cited: 7
Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges
Zhang Ju, Changgan Ying, Zhiyi Ye, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105970-105970
Closed Access | Times Cited: 5
A patch distribution-based active learning method for multiple instance Alzheimer's disease diagnosis
Tianxiang Wang, Qun Dai
Pattern Recognition (2024) Vol. 150, pp. 110341-110341
Closed Access | Times Cited: 5
Scribble-supervised medical image segmentation based on dynamically generated pseudo labels via multi-scale superpixels
Zhixun Li, Jiancheng Fang, Ruiyun Qiu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107668-107668
Closed Access
PA-WSDIS: A prior-aware weakly supervised defect instance segmentation model for car body surface
Y G He, Yueming Wang, Weiwei Jiang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103254-103254
Closed Access
COVID-19 Detection from Chest X-rays Using Trained Output Based Transfer Learning Approach
Sanjay Kumar, Abhishek Mallik
Neural Processing Letters (2022) Vol. 55, Iss. 3, pp. 2405-2428
Open Access | Times Cited: 27
Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks
Yanda Meng, Hongrun Zhang, Yitian Zhao, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 416-429
Closed Access | Times Cited: 24
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding
Zihan Li, Yuan Zheng, Xiangde Luo, et al.
(2023), pp. 3384-3393
Open Access | Times Cited: 12
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, et al.
Deleted Journal (2024) Vol. 21, Iss. 2, pp. 318-330
Closed Access | Times Cited: 4
Cross-frame feature-saliency mutual reinforcing for weakly supervised video salient object detection
Jian Wang, Siyue Yu, Bingfeng Zhang, et al.
Pattern Recognition (2024) Vol. 150, pp. 110302-110302
Closed Access | Times Cited: 4
Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment
Yanda Meng, Yuchen Zhang, Jianyang Xie, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103183-103183
Open Access | Times Cited: 4
Pulmonary Parenchyma and COVID-19 Lesion Volumetric Segmentation Based on Probabilistic Active Contours
Oscar I. Liñan-López, Adrian D. Olivares-Romo, Hermes S. Torres-Ortega, et al.
IFMBE proceedings (2025), pp. 409-418
Closed Access
Fine-grained medical image out-of-distribution detection through multi-view feature uncertainty and adversarial sample generation
Jie Wei, Guotai Wang, Shaoting Zhang
Pattern Recognition (2025), pp. 111401-111401
Closed Access
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