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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:

UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner
Yiwen Ye, Yutong Xie, Jianpeng Zhang, et al.
Lecture notes in computer science (2023), pp. 508-518
Closed Access | Times Cited: 19

Showing 19 citing articles:

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21095-21107
Closed Access | Times Cited: 111
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Xiangde Luo, Jia Fu, Yunxin Zhong, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103447-103447
Open Access | Times Cited: 2
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training
Han Liu, Zhoubing Xu, Riqiang Gao, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 5, pp. 1995-2009
Open Access | Times Cited: 14
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography
Jie Liu, Yixiao Zhang, Kang Wang, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103226-103226
Open Access | Times Cited: 8
Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-Nets
Elias Tappeiner, Christian Gapp, Martin Welk, et al.
Lecture notes in computer science (2025), pp. 87-98
Open Access
Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images
Shichen Liao, Tao Peng, Haoyu Chen, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 9, pp. 2789-2799
Closed Access | Times Cited: 3
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
Yunhe Gao
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 11194-11204
Closed Access | Times Cited: 2
EviPrompt: A Training-Free Evidential Prompt Generation Method for Adapting Segment Anything Model in Medical Images
Yinsong Xu, Jiaowei Tang, Aidong Men, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 6204-6215
Closed Access | Times Cited: 2
PCNet: Prior Category Network for CT Universal Segmentation Model
Yixin Chen, Yajuan Gao, Lei Zhu, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3319-3330
Closed Access | Times Cited: 1
Temporal Neighboring Multi-modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
Jingwen Xu, Ye Zhu, Fei Lyu, et al.
Lecture notes in computer science (2024), pp. 79-88
Closed Access | Times Cited: 1
From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?
Chang’an Yi, Haotian Chen, Yifan Zhang, et al.
(2024), pp. 10085-10094
Closed Access | Times Cited: 1
A dual-branch and dual attention transformer and CNN hybrid network for ultrasound image segmentation
Chong Zhang, Lingtong Wang, Guohui Wei, et al.
Frontiers in Physiology (2024) Vol. 15
Open Access
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography
Pengyu Dai, Yafei Ou, Yuqiao Yang, et al.
Lecture notes in computer science (2024), pp. 567-578
Closed Access
VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation
Lei Li, Sheng Lian, Zhiming Luo, et al.
Lecture notes in computer science (2024), pp. 692-701
Closed Access
CSSD: Cross-Supervision and Self-denoising for Hybrid-Supervised Hepatic Vessel Segmentation
Qinghao Hu, Li Lin, Pujin Cheng, et al.
Lecture notes in computer science (2024), pp. 350-360
Closed Access
Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation
Xixi Jiang, Dong Zhang, Li Xiang, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103333-103333
Closed Access
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
Hong Liu, Dong Wei, Donghuan Lu, et al.
Lecture notes in computer science (2024), pp. 372-382
Closed Access
Crns: CLIP-driven referring nuclei segmentation
Runyu Yuan, Wen‐Wen Zhang, Feng Dong, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Universal Medical Image Segmentation with Task-Specific Prompt-Guided Transformer Model
Weilin Luo, Hao Niu, Junjie Hu, et al.
(2023), pp. 569-575
Closed Access | Times Cited: 1
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