YiChang Shih
-
- Advanced Vision and Imaging 9
- Advanced Image Processing Techniques 8
- Image Enhancement Techniques 4
- Advanced Image and Video Retrieval Techniques 2
- Image and Signal Denoising Methods 1
- Generative Adversarial Networks and Image Synthesis 1
- Media Technology top 5%
- Image Processing Techniques and Applications 4
- Advanced Image Fusion Techniques 2
- Co-authors
- Frédo DurandWilliam T. FreemanSylvain ParisDilip KrishnanConnelly BarnesChia‐Kai LiangJonathan T. BarronCarlos Hernández
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Journals
- ACM Transactions on Graphics (6 papers)Nano Communication Networks (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
YiChang Shih
13 papers receiving 649 citations
Peers
Comparison fields: 5 of 53
- Computer Graphics and Computer-Aided Design 125
- Computer Vision and Pattern Recognition 613
- Media Technology 137
- Geology 13
- Acoustics and Ultrasonics 2
Countries citing papers authored by YiChang Shih
This map shows the geographic impact of YiChang Shih'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 YiChang Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites YiChang Shih more than expected).
Fields of papers citing papers by YiChang Shih
This network shows the impact of papers produced by YiChang Shih. 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 YiChang Shih. The network helps show where YiChang Shih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside YiChang Shih, 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 | 2023 | 2 | |
| 2 | 2023 | 52 | |
| 3 | 2022 | 12 | |
| 4 | 2019 | 36 | |
| 5 | 2015 | 19 | |
| 6 | 2015 | 91 | |
| 7 | 2015 | 151 | |
| 8 | 2014 | 144 | |
| 9 | 2014 | 3 | |
| 10 | 2013 | 1 | |
| 11 | 2013 | 112 | |
| 12 | 2010 | 39 | |
| 13 | 2010 | 1 |
About YiChang Shih
YiChang Shih is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Artificial Intelligence, having authored 13 papers that have together received 663 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Advanced Image Processing Techniques (8 papers), Image Enhancement Techniques (4 papers), Image Processing Techniques and Applications (4 papers), Advanced Image Fusion Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image and Signal Denoising Methods (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (125 citations), Computer Vision and Pattern Recognition (613 citations), Media Technology (137 citations), Geology (13 citations) and Acoustics and Ultrasonics (2 citations). YiChang Shih has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Frédo Durand, William T. Freeman, Sylvain Paris, Dilip Krishnan, Connelly Barnes, Chia‐Kai Liang, Jonathan T. Barron, Carlos Hernández, Andrew Adams and Wei‐Sheng Lai. Their work appears in journals such as ACM Transactions on Graphics, Nano Communication Networks, IEEE Transactions on Image Processing, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and DSpace@MIT (Massachusetts Institute of 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.