Yuan Yao
- Computer Vision and Pattern Recognition top 1%
- Health, Toxicology and Mutagenesis top 2%
- Pollution top 5%
- Artificial Intelligence top 10%
- Media Technology top 2%
- Co-authors
- Sing Bing KangJing LiaoGang HuaLu YuanZhiguo JiangHaopeng ZhangShigeki MasunagaJunko Nakanishi
- Topics
- Advanced Neural Network Applications (8 papers)Advanced Image and Video Retrieval Techniques (8 papers)Toxic Organic Pollutants Impact (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth, Toxicology and MutagenesisComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyBrain
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuan Yao
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 800
- Health, Toxicology and Mutagenesis 379
- Pollution 239
- Artificial Intelligence 168
- Media Technology 145
Countries citing papers authored by Yuan Yao
This map shows the geographic impact of Yuan 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 Yuan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Yao more than expected).
Fields of papers citing papers by Yuan Yao
This network shows the impact of papers produced by Yuan 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 Yuan Yao. The network helps show where Yuan Yao may publish in the future.
Co-authorship network of co-authors of Yuan Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Yao. A scholar is included among the top collaborators of Yuan 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 Yuan Yao. Yuan 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 | 8 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 46 | |
| 7 | 8 | |
| 8 | MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence. | 5 |
| 9 | 50 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 79 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | PCDDS, PCDFS and Co-PCBs in Tokyo Bay : Sources and contribution | 9 |
| 20 | 82 |
About Yuan Yao
Yuan Yao is a scholar working on Computer Vision and Pattern Recognition, Health, Toxicology and Mutagenesis and Media Technology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Toxic Organic Pollutants Impact (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (800 citations), Health, Toxicology and Mutagenesis (379 citations) and Computer Graphics and Computer-Aided Design (84 citations). Yuan Yao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Sing Bing Kang, Jing Liao, Gang Hua, Lu Yuan, Zhiguo Jiang, Haopeng Zhang, Shigeki Masunaga, Junko Nakanishi, Qixiang Ye and Tom Harner. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Brain.
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.