Yao Liu
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Co-authors
- Chao ZhouSujit DeyZhenhua LiAn LiuHuaiyu DaiPeng NingSongqing ChenMengbai Xiao
- Topics
- Image and Video Quality Assessment (26 papers)Video Coding and Compression Technologies (16 papers)Advanced Vision and Imaging (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Journals
- Expert Systems with ApplicationsIEEE Transactions on ComputersIEEE/ACM Transactions on Networking
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Yao Liu
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 576
- Computer Networks and Communications 492
- Signal Processing 302
- Electrical and Electronic Engineering 212
- Information Systems 107
Countries citing papers authored by Yao Liu
This map shows the geographic impact of Yao Liu'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 Yao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Liu more than expected).
Fields of papers citing papers by Yao Liu
This network shows the impact of papers produced by Yao Liu. 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 Yao Liu. The network helps show where Yao Liu may publish in the future.
Co-authorship network of co-authors of Yao Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yao Liu. A scholar is included among the top collaborators of Yao Liu 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 Yao Liu. Yao Liu 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 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | 50 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | Differences in constitution between male college students in Single-child and Non-single-child with the same BMI | 1 |
| 19 | Review on the Development History of Chinese Educational Appraisement | 0 |
| 20 | Review on the Present Development Situation and Tendency of China's Education Appraisement | 1 |
About Yao Liu
Yao Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (26 papers), Video Coding and Compression Technologies (16 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (576 citations), Signal Processing (302 citations) and Computer Networks and Communications (492 citations). Yao Liu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Chao Zhou, Sujit Dey, Zhenhua Li, An Liu, Huaiyu Dai, Peng Ning, Songqing Chen, Mengbai Xiao, Michael Luby and Peng Ning. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Computers and IEEE/ACM Transactions on Networking.
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.