Mei-Yin Shen
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Media Technology top 10%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Topics
- Advanced Data Compression Techniques (12 papers)Video Coding and Compression Technologies (12 papers)Advanced Vision and Imaging (11 papers)
- Journals
- IEEE Communications MagazineIEEE Transactions on Circuits and Systems for Video TechnologyJournal of Visual Communication and Image Representation
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Mei-Yin Shen
24 papers receiving 383 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 381
- Signal Processing 206
- Media Technology 32
- Electrical and Electronic Engineering 18
- Atomic and Molecular Physics, and Optics 17
Countries citing papers authored by Mei-Yin Shen
This map shows the geographic impact of Mei-Yin Shen'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 Mei-Yin Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Yin Shen more than expected).
Fields of papers citing papers by Mei-Yin Shen
This network shows the impact of papers produced by Mei-Yin Shen. 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 Mei-Yin Shen. The network helps show where Mei-Yin Shen may publish in the future.
Co-authorship network of co-authors of Mei-Yin Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Yin Shen. A scholar is included among the top collaborators of Mei-Yin Shen 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 Mei-Yin Shen. Mei-Yin Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Optimal Two-Pass Frame-Layer Bit Allocation for H.264 Video | 1 |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 16 | |
| 19 | 120 | |
| 20 | 2 |
About Mei-Yin Shen
Mei-Yin Shen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (12 papers), Video Coding and Compression Technologies (12 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Signal Processing (206 citations), Computer Vision and Pattern Recognition (381 citations) and Media Technology (32 citations). Mei-Yin Shen has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include C.‐C. Jay Kuo, Do-Kyoung Kwon, Ming‐Sui Lee, Akio Yoneyama, Akio Yoneyama, Jongwon Kim, K.H. Ting and F.H.Y. Chan. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Visual Communication and Image Representation.
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.