Yao Zhao
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Mohammad SalehJingqing ZhangPeter LiuXiaochuan NiQifa KeYuanyuan DingChunyu LinTammam Tillo
- Topics
- Video Coding and Compression Technologies (22 papers)Advanced Data Compression Techniques (17 papers)Advanced Vision and Imaging (13 papers)
- Journals
- International Journal of Computer VisionIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yao Zhao
47 papers receiving 546 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 366
- Computer Vision and Pattern Recognition 284
- Signal Processing 111
- Information Systems 52
- Computer Networks and Communications 31
Countries citing papers authored by Yao Zhao
This map shows the geographic impact of Yao Zhao'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 Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Zhao more than expected).
Fields of papers citing papers by Yao Zhao
This network shows the impact of papers produced by Yao Zhao. 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 Zhao. The network helps show where Yao Zhao may publish in the future.
Co-authorship network of co-authors of Yao Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Yao Zhao. A scholar is included among the top collaborators of Yao Zhao 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 Zhao. Yao Zhao 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 | 35 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization | 155 |
| 9 | 8 | |
| 10 | 148 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | Multiple Description Video Coding Using Joint Frame Duplication/Interpolation | 2 |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 1 |
About Yao Zhao
Yao Zhao is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 53 papers that have together received 589 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (22 papers), Advanced Data Compression Techniques (17 papers) and Advanced Vision and Imaging (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (284 citations), Artificial Intelligence (366 citations) and Signal Processing (111 citations). Yao Zhao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Mohammad Saleh, Jingqing Zhang, Peter Liu, Xiaochuan Ni, Qifa Ke, Yuanyuan Ding, Chunyu Lin, Tammam Tillo, Jimin Xiao and Zhenfeng Zhu. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.