Xiaoyu Xiang

21 papers receiving 511 citations

Hit Papers

Efficient and Explicit Modelling of Image Hierarchies for...2023202620242025202320244080120

Peers

Xiaoyu Xiang
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 349
  • Media Technology 138
  • Electrical and Electronic Engineering 95
  • Atomic and Molecular Physics, and Optics 73
  • Artificial Intelligence 28
Replace Zhangkai Ni with:
Zhangkai Ni China
Patricia Ladret France
Marina Nicolas France
Barthélémy Heyrman France
Seoung Wug Oh United States
Zisheng Cao Hong Kong
S. Yamazaki Japan
Cong Phuoc Huynh Australia
Bongsoon Kang South Korea
Takashi Ida Japan
Xiaoyu Xiang relative to Zhangkai Ni China Zhangkai Ni's profile →
Citations per field
00.5×2.8×
Zhangkai Ni · 1×
Citations per year

Countries citing papers authored by Xiaoyu Xiang

Since Specialization
Citations

This map shows the geographic impact of Xiaoyu Xiang'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 Xiaoyu Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Xiang more than expected).

Fields of papers citing papers by Xiaoyu Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyu Xiang. 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 Xiaoyu Xiang. The network helps show where Xiaoyu Xiang may publish in the future.

Co-authorship network of co-authors of Xiaoyu Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Xiang. A scholar is included among the top collaborators of Xiaoyu Xiang 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 Xiaoyu Xiang. Xiaoyu Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 0
5
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anythingbreakdown →
74
6 1
7 16
8 15
9
Efficient and Explicit Modelling of Image Hierarchies for Image Restorationbreakdown →
143
10 6
11 24
12 1
13 3
14 116
15 0
16 1
17 21
18 4
19 1
20 48

About Xiaoyu Xiang

Xiaoyu Xiang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 24 papers that have together received 524 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (349 citations), Media Technology (138 citations) and Computer Graphics and Computer-Aided Design (23 citations). Xiaoyu Xiang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yuchen Fan, Jan P. Allebach, Yapeng Tian, Rakesh Ranjan, Denis Demandolx, Luc Van Gool, Radu Timofte, Yawei Li, Yun Fu and Yulun Zhang. Their work appears in journals such as Chemical Engineering Journal, Journal of Lightwave Technology and IEEE Transactions on Neural Networks and Learning Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026