Bing-Yu Hsieh
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Electrical and Electronic Engineering
- Sociology and Political Science
- Computer Networks and Communications
- Co-authors
- Yu‐Wen HuangLiang‐Gee ChenTung-Chien ChenTu-Chih WangShyh-Yih MaShao‐Yi ChienChun-Fu ShenJing-Hong Conan Zhan
- Topics
- Video Coding and Compression Technologies (13 papers)Advanced Vision and Imaging (11 papers)Image and Video Quality Assessment (7 papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyNTUR (臺灣機構典藏)The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology
In The Last Decade
Bing-Yu Hsieh
18 papers receiving 771 citations
Peers
Comparison fields: 5 of 17
- Computer Vision and Pattern Recognition 730
- Signal Processing 721
- Electrical and Electronic Engineering 93
- Sociology and Political Science 67
- Computer Networks and Communications 29
Countries citing papers authored by Bing-Yu Hsieh
This map shows the geographic impact of Bing-Yu Hsieh'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 Bing-Yu Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing-Yu Hsieh more than expected).
Fields of papers citing papers by Bing-Yu Hsieh
This network shows the impact of papers produced by Bing-Yu Hsieh. 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 Bing-Yu Hsieh. The network helps show where Bing-Yu Hsieh may publish in the future.
Co-authorship network of co-authors of Bing-Yu Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Bing-Yu Hsieh. A scholar is included among the top collaborators of Bing-Yu Hsieh 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 Bing-Yu Hsieh. Bing-Yu Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 122 | |
| 5 | 112 | |
| 6 | 28 | |
| 7 | 211 | |
| 8 | 19 | |
| 9 | 56 | |
| 10 | 11 | |
| 11 | 86 | |
| 12 | 3 | |
| 13 | 91 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 13 |
About Bing-Yu Hsieh
Bing-Yu Hsieh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 19 papers that have together received 819 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (13 papers), Advanced Vision and Imaging (11 papers) and Image and Video Quality Assessment (7 papers). The work is most often cited by research in Signal Processing (721 citations), Computer Vision and Pattern Recognition (730 citations) and Hardware and Architecture (29 citations). Bing-Yu Hsieh has collaborated with scholars based in Taiwan and China. Frequent co-authors include Yu‐Wen Huang, Liang‐Gee Chen, Tung-Chien Chen, Tu-Chih Wang, Shyh-Yih Ma, Shao‐Yi Chien, Chun-Fu Shen, Jing-Hong Conan Zhan, Hsiang-Hui Chang and Chen‐Han Tsai. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, NTUR (臺灣機構典藏) and The Journal of VLSI Signal Processing Systems for Signal Image and Video 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.