Xiang Zhu

1.0k total citations
28 papers, 696 citations indexed

About

Xiang Zhu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Xiang Zhu has authored 28 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Xiang Zhu's work include Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (7 papers) and Image Processing Techniques and Applications (5 papers). Xiang Zhu is often cited by papers focused on Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (7 papers) and Image Processing Techniques and Applications (5 papers). Xiang Zhu collaborates with scholars based in China, United States and Italy. Xiang Zhu's co-authors include Peyman Milanfar, Stephen Schiller, Scott Cohen, Jinhui Tang, Zechao Li, Hossein Talebi, Tian Qiu, Jianyu Chen, Yichen Liu and Zhe Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Xiang Zhu

26 papers receiving 663 citations

Peers

Xiang Zhu
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 591
  • Media Technology 326
  • Atomic and Molecular Physics, and Optics 61
  • Biomedical Engineering 31
  • Computational Mechanics 30
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Citations per field, relative to Xiang Zhu
Xiang Zhu · 1×
Citations per year, relative to Xiang Zhu
Xiang Zhu · 1×

Countries citing papers authored by Xiang Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Zhu. A scholar is included among the top collaborators of Xiang Zhu 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 Xiang Zhu. Xiang Zhu 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
# Work Indexed citations
1 1
2 0
3 1
4 8
5 29
6 11
7 67
8 8
9 115
10
Measuring Spatially Varying Blur and its Application in Digital Image Restoration
3
11 4
12
Qpro: An improved no-reference image content metric using locally adapted SVD
1
13 145
14 29
15 9
16
Study on morphological genetics analytical method of Apis cerana cerana population
2
17 2
18 4
19 61
20 117

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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