Yuchi Huo

755 citations
60 papers · 441 · h-index 12

Impact in

Papers in

Yuchi Huo

43 papers receiving 434 citations

Peers

Yuchi Huo
Comparison fields: 5 of 60
  • Computer Graphics and Computer-Aided Design 153
  • Computer Vision and Pattern Recognition 300
  • Media Technology 51
  • Computational Mechanics 78
  • Instrumentation 10
Replace Jiemin Fang with:
Jiemin Fang China
Pan Gao China
Hassan Abu Alhaija Germany
Guocheng Qian Saudi Arabia
Rundi Wu United States
Qi Mo United States
Wenzhao Zheng China
Zhengzhe Liu Hong Kong
Jonathon Luiten Germany
Yuchi Huo relative to Jiemin Fang China Jiemin Fang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yuchi Huo

Since Specialization
Citations

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

Fields of papers citing papers by Yuchi Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuchi Huo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuchi Huo Line = papers co-authored together Yuchi Huo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201364
2 202054
3 202141
4 202224
5 201523
6 202322
7 202322
8 202119
9 202018
10 202314
11 202311
12 202111
13 202310
14 202110
15 202210
16 20239
17 20219
18 20168
19 20236
20 20245

About Yuchi Huo

Yuchi Huo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Artificial Intelligence and Environmental Engineering, having authored 60 papers that have together received 441 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (29 papers), Computer Graphics and Visualization Techniques (26 papers), Image Enhancement Techniques (11 papers), 3D Shape Modeling and Analysis (11 papers), Advanced Image Processing Techniques (8 papers), Advanced Neural Network Applications (6 papers), Image and Signal Denoising Methods (5 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (153 citations), Computer Vision and Pattern Recognition (300 citations), Media Technology (51 citations), Computational Mechanics (78 citations) and Instrumentation (10 citations). Yuchi Huo has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Sung‐Eui Yoon, Hujun Bao, Rui Wang, Soomin Kim, Wei Hua, Kun Zhou, Rui Wang, Xinguo Liu, Rui Wang and Jiming Chen. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Multimedia, Computational Visual Media and IEEE Transactions on Circuits and Systems for Video Technology.

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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