Xiaohu Guo

815 total citations
50 papers, 547 citations indexed

About

Xiaohu Guo is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Xiaohu Guo has authored 50 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 23 papers in Computational Mechanics and 22 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Xiaohu Guo's work include 3D Shape Modeling and Analysis (22 papers), Computer Graphics and Visualization Techniques (20 papers) and Advanced Vision and Imaging (11 papers). Xiaohu Guo is often cited by papers focused on 3D Shape Modeling and Analysis (22 papers), Computer Graphics and Visualization Techniques (20 papers) and Advanced Vision and Imaging (11 papers). Xiaohu Guo collaborates with scholars based in United States, China and Hong Kong. Xiaohu Guo's co-authors include Balakrishnan Prabhakaran, Madhukar Budagavi, Ming Zeng, Hong Qin, Guodong Rong, Wenping Wang, Yin Yang, Yan Cao, Yifei Huang and Yifan Zhao and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and Review of Scientific Instruments.

In The Last Decade

Xiaohu Guo

44 papers receiving 522 citations

Peers

Xiaohu Guo
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 352
  • Computational Mechanics 217
  • Computer Graphics and Computer-Aided Design 193
  • Signal Processing 90
  • Control and Systems Engineering 78
Replace Jean‐Dominique Gascuel with:
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Jean‐Dominique Gascuel France View profile →
Citations per field, relative to Xiaohu Guo
Xiaohu Guo · 1×
Citations per year, relative to Xiaohu Guo
Xiaohu Guo · 1×

Countries citing papers authored by Xiaohu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohu Guo. A scholar is included among the top collaborators of Xiaohu Guo 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 Xiaohu Guo. Xiaohu Guo 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 1
4 1
5 90
6 2
7 5
8 10
9 21
10 8
11
Curvature-Metric-Free Surface Remeshing via Principle Component Analysis
1
12 7
13 1
14 43
15 10
16 3
17 4
18
Real-time meshless deformation: Collision Detection and Deformable Objects
10
19 17
20 4

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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