Xiaosheng Yu

979 total citations
99 papers, 653 citations indexed

About

Xiaosheng Yu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology. According to data from OpenAlex, Xiaosheng Yu has authored 99 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 24 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Media Technology. Recurrent topics in Xiaosheng Yu's work include Visual Attention and Saliency Detection (17 papers), Retinal Imaging and Analysis (17 papers) and Glaucoma and retinal disorders (15 papers). Xiaosheng Yu is often cited by papers focused on Visual Attention and Saliency Detection (17 papers), Retinal Imaging and Analysis (17 papers) and Glaucoma and retinal disorders (15 papers). Xiaosheng Yu collaborates with scholars based in China, United States and Australia. Xiaosheng Yu's co-authors include Chengdong Wu, Jianning Chi, Haoran Wang, Wei Zhou, Dongyue Chen, Hao Chu, Yang Jiang, Peng Ji, Ming Xu and Huan Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Xiaosheng Yu

90 papers receiving 628 citations

Peers

Xiaosheng Yu

CVPR

RNMI

OPHTH

Meenakshi Sood India

Kashif Shaheed China

Edmar Rezende Brazil

K. Balasamy India

Jamshid Shanbehzadeh Iran

Sherin M. Youssef Egypt

S. Suganyadevi India

Lai Jiang China

Gil‐Jin Jang South Korea

Loc Tran United States

Meenakshi Sood India

Xiaosheng Yu

220 ×0.6

CVPR

219 ×1.1

RNMI

82 ×0.5

121 ×1.4

OPHTH

58 ×0.8

Citations per year, relative to Xiaosheng Yu Xiaosheng Yu (= 1×) peers Meenakshi Sood

Countries citing papers authored by Xiaosheng Yu

Since Specialization

Citations

This map shows the geographic impact of Xiaosheng Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaosheng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosheng Yu more than expected).

Fields of papers citing papers by Xiaosheng Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaosheng Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaosheng Yu. The network helps show where Xiaosheng Yu may publish in the future.

Co-authorship network of co-authors of Xiaosheng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosheng Yu. A scholar is included among the top collaborators of Xiaosheng Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaosheng Yu. Xiaosheng Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yu, Xiaosheng, et al.. (2025). Deep Fourier-embedded Network for RGB and Thermal Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.

Yu, Xiaosheng, et al.. (2025). Efficient Fourier Filtering Network With Contrastive Learning for AAV-Based Unaligned Bimodal Salient Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 1 indexed citations

Yu, Xiaosheng, et al.. (2025). TwinsTNet: Broad-View Twins Transformer Network for Bi-Modal Salient Object Detection. IEEE Transactions on Image Processing. 34. 2796–2810. 2 indexed citations

Xu, Hongli, et al.. (2025). CDF-UIE: Leveraging Cross-Domain Fusion for Underwater Image Enhancement. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 3 indexed citations

Zhang, Haopeng, et al.. (2025). Conditional variational underwater image enhancement with kernel decomposition and adaptive hybrid normalization. Neurocomputing. 650. 130845–130845. 3 indexed citations

Chi, Jianning, Zhao Jin, Siqi Wang, Xiaosheng Yu, & Chengdong Wu. (2024). LGDNet: local feature coupling global representations network for pulmonary nodules detection. Medical & Biological Engineering & Computing. 62(7). 1991–2004. 5 indexed citations

Wang, Li, et al.. (2024). Multi-Height and Heterogeneous Sensor Fusion Discriminant with LSTM for Weak Fire Signal Detection in Large Spaces with High Ceilings. Electronics. 13(13). 2572–2572.

Yu, Xiaosheng, et al.. (2024). Modalities Guided Latent Diffusion Model for Brain MRI Synthesis. 4440–4444. 1 indexed citations

Liu, Suyi, et al.. (2024). CMT-6D: a lightweight iterative 6DoF pose estimation network based on cross-modal Transformer. The Visual Computer. 41(3). 2011–2027. 1 indexed citations

10.

Yu, Xiaosheng, et al.. (2024). Enhancing pixel-level analysis in medical imaging through visual instruction tuning: introducing PLAMi. The Visual Computer. 41(8). 5625–5641. 1 indexed citations

11.

Wang, Siqi, et al.. (2023). Optic disc detection based on fully convolutional network and weighted matrix recovery model. Medical & Biological Engineering & Computing. 61(12). 3319–3333. 3 indexed citations

12.

Yu, Xiaosheng, et al.. (2023). Clinical Knowledge-Based Hybrid Swin Transformer for Brain Tumor Segmentation. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 3797–3811.

13.

Xu, Ming, et al.. (2023). Segmentation of Optic Disc and Optic Cup Based on Two-Layer Level Set with Sparse Shape Prior Constraint in Fundus Images. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E106.A(7). 1020–1024. 3 indexed citations

14.

Yu, Xiaosheng, et al.. (2022). An Efficient Hierarchical Optic Disc and Cup Segmentation Network Combined with Multi-task Learning and Adversarial Learning. Journal of Digital Imaging. 35(3). 638–653. 6 indexed citations

15.

Chi, Jianning, et al.. (2022). Hybrid transformer UNet for thyroid segmentation from ultrasound scans. Computers in Biology and Medicine. 153. 106453–106453. 27 indexed citations

16.

Zhang, Jingsi, et al.. (2022). A novel CapsNet neural network based on MobileNetV2 structure for robot image classification. Frontiers in Neurorobotics. 16. 1007939–1007939. 4 indexed citations

17.

Teng, Zi, et al.. (2022). Blind Face Restoration via Multi-Prior Collaboration and Adaptive Feature Fusion. Frontiers in Neurorobotics. 16. 797231–797231. 3 indexed citations

18.

Chen, Dongyue, et al.. (2019). Deeply-Learned Spatial Alignment for Person Re-Identification. IEEE Access. 7. 143684–143692. 6 indexed citations

19.

Chen, Dongyue, et al.. (2019). Face Swapping: Realistic Image Synthesis Based on Facial Landmarks Alignment. Mathematical Problems in Engineering. 2019(1). 16 indexed citations

20.

Gao, Yuan, et al.. (2019). Automatic Optic Disc Segmentation Based on Modified Local Image Fitting Model with Shape Prior Information. Journal of Healthcare Engineering. 2019. 1–10. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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