Shih‐Yu Huang
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- Advanced Vision and Imaging 11
- Advanced Steganography and Watermarking Techniques 6
- Polymers and Plastics top 5%
- Natural Fiber Reinforced Composites 6
- Biomaterials top 5%
- Human-Computer Interaction top 5%
- Surfaces, Coatings and Films top 10%
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- Video Coding and Compression Technologies 11
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- Cellular and Composite Structures 10
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- Peer-to-Peer Network Technologies 8
- Caching and Content Delivery 8
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- Mechanical Behavior of Composites 7
- Co-authors
- Ching‐Wen LouJia‐Horng LinTing‐Ting LiYeuan-Kuen LeeRan-Zan WangShyong Jian ShyuKun ChenKuei‐Fang Hsiao
- Journals
- PLoS ONE (1 paper)Scientific Reports (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Shih‐Yu Huang
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 440
- Polymers and Plastics 296
- Biomaterials 227
- Human-Computer Interaction 79
- Surfaces, Coatings and Films 74
Countries citing papers authored by Shih‐Yu Huang
This map shows the geographic impact of Shih‐Yu Huang'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 Shih‐Yu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Yu Huang more than expected).
Fields of papers citing papers by Shih‐Yu Huang
This network shows the impact of papers produced by Shih‐Yu Huang. 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 Shih‐Yu Huang. The network helps show where Shih‐Yu Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shih‐Yu Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 36 | |
| 11 | 2020 | 52 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 57 | |
| 14 | 2019 | 3 | |
| 15 | A new CAPTCHA interface design for mobile devices | 2011 | 31 |
| 16 | 2011 | 49 | |
| 17 | 2009 | 190 | |
| 18 | 2008 | 6 | |
| 19 | 2005 | 2 | |
| 20 | 1997 | 1 |
About Shih‐Yu Huang
Shih‐Yu Huang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (11 papers), Advanced Vision and Imaging (11 papers), Cellular and Composite Structures (10 papers), Peer-to-Peer Network Technologies (8 papers), Caching and Content Delivery (8 papers), Mechanical Behavior of Composites (7 papers), Natural Fiber Reinforced Composites (6 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (440 citations), Polymers and Plastics (296 citations) and Biomaterials (227 citations). Shih‐Yu Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ching‐Wen Lou, Jia‐Horng Lin, Ting‐Ting Li, Yeuan-Kuen Lee, Ran-Zan Wang, Shyong Jian Shyu, Kun Chen, Kuei‐Fang Hsiao, Nian‐Shing Chen and John M. Boone. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.
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.