Yao Liu
-
- Microgrid Control and Optimization 6
-
- Video Surveillance and Tracking Methods 11
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Human Pose and Action Recognition 4
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety 8
-
- Anomaly Detection Techniques and Applications 7
-
- Islanding Detection in Power Systems 4
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Frontiers in Energy Research (4 papers)IEEE Transactions on Image Processing (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yao Liu
71 papers receiving 858 citations
Peers
Comparison fields: 5 of 116
- Energy Engineering and Power Technology 52
- Control and Systems Engineering 283
- Computer Vision and Pattern Recognition 240
- Health Informatics 10
- 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
The 25 scholars most cited alongside Yao Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 2 | |
| 16 | PDF Mirage: Content Masking Attack Against Information-Based Online Services. | 2017 | 6 |
| 17 | 2016 | 3 | |
| 18 | RESEARCH ON FEATURE ACQUISITION AND KEY EXPRESSION TECHNOLOGY OF KNOWLEDGE-INTENSIVE TEXT | 2014 | 0 |
| 19 | Research on Direct Control Model of Network Information Communication Control Technology | 2009 | 0 |
| 20 | 2008 | 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), Anomaly Detection Techniques and Applications (7 papers), Microgrid Control and Optimization (6 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Human Pose and Action Recognition (4 papers) and Islanding Detection in Power Systems (4 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 Frontiers in Energy Research, IEEE Transactions on Image Processing, Sustainability, Neurocomputing and Applied Sciences.
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.