Xiaoyang Mao

1.8k total citations
153 papers, 1.2k citations indexed

About

Xiaoyang Mao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Xiaoyang Mao has authored 153 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 35 papers in Computer Graphics and Computer-Aided Design and 21 papers in Computational Mechanics. Recurrent topics in Xiaoyang Mao's work include Computer Graphics and Visualization Techniques (35 papers), Advanced Vision and Imaging (26 papers) and 3D Shape Modeling and Analysis (17 papers). Xiaoyang Mao is often cited by papers focused on Computer Graphics and Visualization Techniques (35 papers), Advanced Vision and Imaging (26 papers) and 3D Shape Modeling and Analysis (17 papers). Xiaoyang Mao collaborates with scholars based in Japan, China and Malaysia. Xiaoyang Mao's co-authors include Atsumi Imamiya, Masahiro Toyoura, Kentaro Go, Jianbing Shen, Xiaogang Jin, Hanli Zhao, Xiaogang Jin, Issei Fujishiro, Kenji Kashiwagi and Hiromitsu Nishizaki and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaoyang Mao

140 papers receiving 1.1k citations

Peers

Xiaoyang Mao
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 672
  • Computer Graphics and Computer-Aided Design 321
  • Computational Mechanics 170
  • Cognitive Neuroscience 138
  • Human-Computer Interaction 117
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Sergey Tulyakov United States
Naveed Ahmed United Arab Emirates
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Hanqiu Sun Hong Kong View profile →
Citations per field, relative to Xiaoyang Mao
Xiaoyang Mao · 1×
Citations per year, relative to Xiaoyang Mao
Xiaoyang Mao · 1×

Countries citing papers authored by Xiaoyang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyang Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Mao. A scholar is included among the top collaborators of Xiaoyang Mao 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 Xiaoyang Mao. Xiaoyang Mao 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 0
2 0
3 0
4 4
5 8
6 2
7 0
8 4
9 6
10 16
11 23
12 36
13 4
14 7
15 8
16 3
17 2
18
Simulating Marbling with Computer Graphics.
4
19 8
20 23

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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