Yu Yao
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Ella AtkinsLin MaMatthew Johnson‐RobersonRam VasudevanXiaoxiao DuYanjie WangNan LiAnouck Girard
- Topics
- Advanced Neural Network Applications (5 papers)Autonomous Vehicle Technology and Safety (4 papers)Video Surveillance and Tracking Methods (3 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu Yao
26 papers receiving 574 citations
Peers
Comparison fields: 5 of 76
- Automotive Engineering 203
- Computer Vision and Pattern Recognition 153
- Electrical and Electronic Engineering 110
- Materials Chemistry 108
- Safety, Risk, Reliability and Quality 99
Countries citing papers authored by Yu Yao
This map shows the geographic impact of Yu Yao'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 Yu Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Yao more than expected).
Fields of papers citing papers by Yu Yao
This network shows the impact of papers produced by Yu Yao. 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 Yu Yao. The network helps show where Yu Yao may publish in the future.
Co-authorship network of co-authors of Yu Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Yao. A scholar is included among the top collaborators of Yu Yao 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 Yu Yao. Yu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 123 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 75 | |
| 13 | 26 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | 70 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | Survey on particle swarm optimization | 6 |
About Yu Yao
Yu Yao is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Energy Engineering and Power Technology, having authored 27 papers that have together received 592 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Automotive Engineering (203 citations), Safety, Risk, Reliability and Quality (99 citations) and Computer Vision and Pattern Recognition (153 citations). Yu Yao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ella Atkins, Lin Ma, Matthew Johnson‐Roberson, Ram Vasudevan, Xiaoxiao Du, Yanjie Wang, Nan Li, Anouck Girard, Ilya Kolmanovsky and Qiang Zhao. Their work appears in journals such as Advanced Materials, Nano Letters and Science Advances.
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.