Ying-Hao Yu

571 total citations
23 papers, 432 citations indexed

About

Ying-Hao Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Ying-Hao Yu has authored 23 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ying-Hao Yu's work include Image Enhancement Techniques (8 papers), Advanced Image Fusion Techniques (5 papers) and Advanced Image Processing Techniques (5 papers). Ying-Hao Yu is often cited by papers focused on Image Enhancement Techniques (8 papers), Advanced Image Fusion Techniques (5 papers) and Advanced Image Processing Techniques (5 papers). Ying-Hao Yu collaborates with scholars based in Australia, Taiwan and China. Ying-Hao Yu's co-authors include Ngaiming Kwok, Haiyan Shi, Tonghai Wu, Guannan Jiang, Md Arifur Rahman, Q. P. Ha, N. M. Kwok, Stephen Lin, Huaizhong Li and Gu Fang and has published in prestigious journals such as Automation in Construction, Robotics and Computer-Integrated Manufacturing and Optik.

In The Last Decade

Ying-Hao Yu

21 papers receiving 410 citations

Peers

Ying-Hao Yu
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 335
  • Media Technology 147
  • Control and Systems Engineering 52
  • Aerospace Engineering 39
  • Biomedical Engineering 37
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Deyang Liu China View profile →
Citations per field, relative to Ying-Hao Yu
Ying-Hao Yu · 1×
Citations per year, relative to Ying-Hao Yu
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Countries citing papers authored by Ying-Hao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Hao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Hao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Hao Yu. A scholar is included among the top collaborators of Ying-Hao Yu 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 Ying-Hao Yu. Ying-Hao Yu 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 23
3 5
4 5
5 0
6 54
7 1
8 65
9 50
10 9
11 22
12 51
13 69
14 29
15 6
16 1
17 1
18 10
19
FPGA based real-time color discrimination design for ubiquitous robots
2
20
(Computer Vision and Image Understanding,107(3):183-194)A New Steganographic Method for Color and Grayscale Image Hiding
11

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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