Wan-Chi Siu
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Media Technology top 5%
- Topics
- Video Coding and Compression Technologies (31 papers)Advanced Vision and Imaging (27 papers)Advanced Data Compression Techniques (24 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- Hong KongAustraliaUnited Kingdom
In The Last Decade
Wan-Chi Siu
65 papers receiving 765 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 599
- Signal Processing 376
- Radiology, Nuclear Medicine and Imaging 132
- Artificial Intelligence 65
- Media Technology 57
Countries citing papers authored by Wan-Chi Siu
This map shows the geographic impact of Wan-Chi Siu'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 Wan-Chi Siu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Chi Siu more than expected).
Fields of papers citing papers by Wan-Chi Siu
This network shows the impact of papers produced by Wan-Chi Siu. 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 Wan-Chi Siu. The network helps show where Wan-Chi Siu may publish in the future.
Co-authorship network of co-authors of Wan-Chi Siu
This figure shows the co-authorship network connecting the top 25 collaborators of Wan-Chi Siu. A scholar is included among the top collaborators of Wan-Chi Siu 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 Wan-Chi Siu. Wan-Chi Siu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 33 | |
| 4 | 18 | |
| 5 | A fast video transcoding algorithm based on hybrid characteristic of multi-scale videos | 0 |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 41 | |
| 12 | 36 | |
| 13 | 62 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 132 | |
| 20 | 46 |
About Wan-Chi Siu
Wan-Chi Siu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 75 papers that have together received 810 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (31 papers), Advanced Vision and Imaging (27 papers) and Advanced Data Compression Techniques (24 papers). The work is most often cited by research in Signal Processing (376 citations), Computer Vision and Pattern Recognition (599 citations) and Media Technology (57 citations). Wan-Chi Siu has collaborated with scholars based in Hong Kong, Australia and United Kingdom. Frequent co-authors include Yui‐Lam Chan, Kin‐Man Lam, Kai-Tat Fung, Dagan Feng, K.P. Wong, Chi-Ming Wu, Lap‐Pui Chau, Zheru Chi, Xuan Jing and Yuk‐Hee Chan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.