Shu Shi
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Hardware and Architecture top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Klara NahrstedtRoy H. CampbellCheng-Hsin HsuRittwik JanaAhsan ArefinRaoul RivasWanmin WuZixia Huang
- Topics
- Image and Video Quality Assessment (21 papers)Video Coding and Compression Technologies (13 papers)Computer Graphics and Visualization Techniques (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHardware and Architecture
- Journals
- ACM Computing SurveysIEEE MultimediaACM Transactions on Multimedia Computing Communications and Applications
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Shu Shi
28 papers receiving 427 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 353
- Computer Networks and Communications 132
- Signal Processing 108
- Hardware and Architecture 83
- Computer Graphics and Computer-Aided Design 82
Countries citing papers authored by Shu Shi
This map shows the geographic impact of Shu Shi'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 Shu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Shi more than expected).
Fields of papers citing papers by Shu Shi
This network shows the impact of papers produced by Shu Shi. 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 Shu Shi. The network helps show where Shu Shi may publish in the future.
Co-authorship network of co-authors of Shu Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Shi. A scholar is included among the top collaborators of Shu Shi 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 Shu Shi. Shu Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 41 | |
| 11 | A low latency remote rendering system for interactive mobile graphics | 2 |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | M-TEEVE: Real-Time 3D Video Interaction and Broadcasting Framework for Mobile Devices | 1 |
| 17 | 37 | |
| 18 | 17 | |
| 19 | 8 | |
| 20 | 5 |
About Shu Shi
Shu Shi is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 29 papers that have together received 442 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (21 papers), Video Coding and Compression Technologies (13 papers) and Computer Graphics and Visualization Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (82 citations), Computer Vision and Pattern Recognition (353 citations) and Hardware and Architecture (83 citations). Shu Shi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Klara Nahrstedt, Roy H. Campbell, Cheng-Hsin Hsu, Rittwik Jana, Ahsan Arefin, Raoul Rivas, Wanmin Wu, Zixia Huang, Pooja Agarwal and John C. Hart. Their work appears in journals such as ACM Computing Surveys, IEEE Multimedia and ACM Transactions on Multimedia Computing Communications and Applications.
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.