Chia‐Hung Yeh

1.7k citations
120 papers · 1.2k indexed · h-index 19

Chia‐Hung Yeh

115 papers receiving 1.2k citations

Peers

Chia‐Hung Yeh
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 916
  • Signal Processing 330
  • Media Technology 152
  • Safety, Risk, Reliability and Quality 53
  • Acoustics and Ultrasonics 5
Replace Omar Elharrouss with:
Omar Elharrouss Qatar
Shuyuan Zhu China
Byung Cheol Song South Korea
Huanzhang Lu China
L. Ganesan India
Yaping Huang China
Raja Bala United States
Mohamed El‐Sharkawy United States
Jing-Ming Guo Taiwan
Mehmet Çelenk United States
Chia‐Hung Yeh relative to Omar Elharrouss Qatar Omar Elharrouss's profile →
Citations per field
00.5×10×15×21.7×
Omar Elharrouss · 1×
Citations per year

Countries citing papers authored by Chia‐Hung Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Hung Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Hung Yeh. 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 Chia‐Hung Yeh. The network helps show where Chia‐Hung Yeh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20245
3 20240
4 202323
5 20217
6 20199
7 201817
8 201831
9 201817
10 20185
11 20155
12 20157
13 20143
14
Background subtraction by modeling pixel and neighborhood information
20121
15 201218
16 201214
17 20041
18 20031
19 20011
20 199916

About Chia‐Hung Yeh

Chia‐Hung Yeh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 120 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (46 papers), Video Coding and Compression Technologies (42 papers), Advanced Image Processing Techniques (31 papers), Image and Video Quality Assessment (28 papers), Advanced Image and Video Retrieval Techniques (18 papers), Advanced Data Compression Techniques (17 papers), Video Surveillance and Tracking Methods (15 papers) and Image Enhancement Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (916 citations), Signal Processing (330 citations) and Media Technology (152 citations). Chia‐Hung Yeh has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Mei‐Juan Chen, C.‐C. Jay Kuo, Chih‐Yang Lin, Li‐Wei Kang, Kahlil Muchtar, Chia‐Wen Lin, Chia‐Chen Lin, Akio Yoneyama, Li-Wei Kang and Akio Yoneyama. Their work appears in journals such as IEEE Access, Journal of Visual Communication and Image Representation, Multimedia Tools and Applications, IEEE Transactions on Industrial Informatics and IEEE Transactions on Multimedia.

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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