Ming–Ting Sun
- Signal Processing top 0.2%
- Video Coding and Compression Technologies 98
-
- Advanced Vision and Imaging 67
- Advanced Data Compression Techniques 56
- Image and Video Quality Assessment 47
- Advanced Image Processing Techniques 20
- Video Surveillance and Tracking Methods 19
- Advanced Image and Video Retrieval Techniques 18
- Video Analysis and Summarization 16
- Media Technology top 1%
- Human-Computer Interaction top 5%
- Artificial Intelligence top 2%
Ming–Ting Sun
183 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 112
- Signal Processing 2.1k
- Computer Vision and Pattern Recognition 3.2k
- Media Technology 325
- Human-Computer Interaction 129
- Artificial Intelligence 520
Countries citing papers authored by Ming–Ting Sun
This map shows the geographic impact of Ming–Ting Sun'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 Ming–Ting Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming–Ting Sun more than expected).
Fields of papers citing papers by Ming–Ting Sun
This network shows the impact of papers produced by Ming–Ting Sun. 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 Ming–Ting Sun. The network helps show where Ming–Ting Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming–Ting Sun, 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 | 2021 | 107 | |
| 2 | Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation. | 2019 | 3 |
| 3 | 2015 | 71 | |
| 4 | 2014 | 47 | |
| 5 | 2014 | 2 | |
| 6 | An algorithm for radar power line detection with tracking | 2012 | 2 |
| 7 | 2012 | 7 | |
| 8 | 2012 | 34 | |
| 9 | 2011 | 28 | |
| 10 | 2011 | 5 | |
| 11 | Trick-Play Optimization for H.264 Video Decoding | 2010 | 9 |
| 12 | 2009 | 3 | |
| 13 | 2006 | 4 | |
| 14 | 2004 | 45 | |
| 15 | 2003 | 1 | |
| 16 | Multi-path Transport of FGS Video | 2003 | 10 |
| 17 | 2003 | 4 | |
| 18 | 2002 | 11 | |
| 19 | 2002 | 0 | |
| 20 | 1998 | 5 |
About Ming–Ting Sun
Ming–Ting Sun is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 185 papers that have together received 4.1k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (98 papers), Advanced Vision and Imaging (67 papers), Advanced Data Compression Techniques (56 papers), Image and Video Quality Assessment (47 papers), Advanced Image Processing Techniques (20 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Video Analysis and Summarization (16 papers). The work is most often cited by research in Signal Processing (2.1k citations), Computer Vision and Pattern Recognition (3.2k citations), Media Technology (325 citations), Human-Computer Interaction (129 citations) and Artificial Intelligence (520 citations). Ming–Ting Sun has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Chia‐Wen Lin, Rogério Feris, Jun Xin, Jeongnam Youn, Yeping Su, Ching‐Yung Lin, Jun Xie, Weiyao Lin, Xiaodan Song and Jar‐Ferr Yang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Journal of Visual Communication and Image Representation, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and IEEE Transactions on Broadcasting.
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.