Yao Liu
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Topics
- Video Surveillance and Tracking Methods (11 papers)Autonomous Vehicle Technology and Safety (8 papers)Anomaly Detection Techniques and Applications (7 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Power ElectronicsIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yao Liu
71 papers receiving 858 citations
Peers
Comparison fields: 5 of 116
- Electrical and Electronic Engineering 330
- Control and Systems Engineering 283
- Computer Vision and Pattern Recognition 240
- Artificial Intelligence 155
- Automotive Engineering 81
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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | PDF Mirage: Content Masking Attack Against Information-Based Online Services. | 6 |
| 17 | 3 | |
| 18 | RESEARCH ON FEATURE ACQUISITION AND KEY EXPRESSION TECHNOLOGY OF KNOWLEDGE-INTENSIVE TEXT | 0 |
| 19 | Research on Direct Control Model of Network Information Communication Control Technology | 0 |
| 20 | 2 |
About Yao Liu
Yao Liu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, having authored 82 papers that have together received 890 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Autonomous Vehicle Technology and Safety (8 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (52 citations), Control and Systems Engineering (283 citations) and Computer Vision and Pattern Recognition (240 citations). Yao Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Josep M. Guerrero, Mei Su, Yao Sun, Hua Han, Xian‐Sheng Hua, Wenqing Chu, Deng Cai, Chen Shen, Hongyang Xue and Deng Cai. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image 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.