Shaohui Jiao

1.2k citations
23 papers · 754 indexed · 2 hit papers · h-index 10
Topics
Advanced Vision and Imaging (12 papers)Computer Graphics and Visualization Techniques (9 papers)3D Shape Modeling and Analysis (7 papers)
Partner nations
ChinaMacaoSouth Korea

In The Last Decade

Shaohui Jiao

18 papers receiving 728 citations

Hit Papers

On building an accurate stereo matching system on graphic...201120262016202120112024100200300

Peers

Shaohui Jiao
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 654
  • Media Technology 211
  • Aerospace Engineering 97
  • Computer Graphics and Computer-Aided Design 88
  • Computational Mechanics 51
Replace Tianfan Xue with:
Tianfan Xue Hong Kong
Asmaa Hosni Austria
Yakun Ju China
U.R. Dhond United States
Mingcai Zhou China
S. Vedula United States
Qi Mo United States
Nigel Morris Canada
Feitong Tan Canada
Yuki Endo Japan
Shaohui Jiao relative to Tianfan Xue Hong Kong Tianfan Xue's profile →
Citations per field
00.5×1.7×
Tianfan Xue · 1×
Citations per year

Countries citing papers authored by Shaohui Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohui Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohui Jiao. A scholar is included among the top collaborators of Shaohui Jiao 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 Shaohui Jiao. Shaohui Jiao 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 0
2 0
3 25
4
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructionbreakdown →
113
5 1
6 0
7 38
8 3
9 0
10 15
11 24
12 27
13 8
14 70
15
On building an accurate stereo matching system on graphics hardwarebreakdown →
389
16 2
17 2
18 2
19 1
20 19

About Shaohui Jiao

Shaohui Jiao is a scholar working on Computer Graphics and Computer-Aided Design, Media Technology and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 754 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (9 papers) and 3D Shape Modeling and Analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (654 citations), Computer Graphics and Computer-Aided Design (88 citations) and Media Technology (211 citations). Shaohui Jiao has collaborated with scholars based in China, Macao and South Korea. Frequent co-authors include Mingcai Zhou, Haitao Wang, Xing Mei, Xun Sun, Xiaopeng Zhang, Yuqing Zhang, Xinyu Gao, Xuying Zhang, Hongkai Yu and Deng-Ping Fan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Express and Fuel.

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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