Jinhui Yu

945 citations
55 papers · 569 · h-index 14

Impact in

Papers in

Jinhui Yu

50 papers receiving 551 citations

Peers

Jinhui Yu
Comparison fields: 5 of 123
  • Computer Graphics and Computer-Aided Design 156
  • Computer Vision and Pattern Recognition 267
  • Cognitive Neuroscience 94
  • Geology 24
  • Human-Computer Interaction 22
Replace Nanxuan Zhao with:
Nanxuan Zhao Hong Kong
Youichi Horry Japan
William Latham United Kingdom
M. Wein Canada
Yi Ji China
António Augusto de Sousa Portugal
Josh Wills United States
Joachim Diepstraten Germany
Miklós Hoffmann Hungary
Shinji Mizuno Japan
Jinhui Yu relative to Nanxuan Zhao Hong Kong Nanxuan Zhao's profile →
Citations per field
00.5×4.4×
Nanxuan Zhao · 1×
Citations per year

Countries citing papers authored by Jinhui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jinhui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jinhui Yu, 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 Jinhui Yu Line = papers co-authored together Jinhui Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201752
2 201446
3 201140
4 200334
5 201230
6 201829
7 200427
8 201826
9 202026
10 201723
11 200619
12 201419
13 202119
14 201216
15 201012
16 201311
17 201010
18 20209
19 20179
20 20219

About Jinhui Yu

Jinhui Yu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience, Computational Mechanics and Control and Systems Engineering, having authored 55 papers that have together received 569 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (21 papers), 3D Shape Modeling and Analysis (12 papers), Advanced Vision and Imaging (12 papers), Aesthetic Perception and Analysis (11 papers), Human Motion and Animation (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Visual Attention and Saliency Detection (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (156 citations), Computer Vision and Pattern Recognition (267 citations), Cognitive Neuroscience (94 citations), Geology (24 citations) and Human-Computer Interaction (22 citations). Jinhui Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kang Zhang, Qunsheng Peng, Junsong Zhang, Jing Liao, Yongwei Miao, Kwan‐Liu Ma, Zhuwen Li, Song Wang, Chengxin Fu and Yunpeng Zhao. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Applied Perception, IEEE Access, The Visual Computer and Leonardo.

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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