Ying Yao
- Cellular and Molecular Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Gayatri E. PerlinAmir M. SodagarK.D. WiseK. NajafiM.N. GulariKhalil NajafiKensall D. WisePeng Shan
- Topics
- Advanced Memory and Neural Computing (4 papers)Neuroscience and Neural Engineering (4 papers)EEG and Brain-Computer Interfaces (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ying Yao
22 papers receiving 574 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 392
- Electrical and Electronic Engineering 320
- Cognitive Neuroscience 212
- Biomedical Engineering 207
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Ying Yao
This map shows the geographic impact of Ying 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 Ying Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yao more than expected).
Fields of papers citing papers by Ying Yao
This network shows the impact of papers produced by Ying 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 Ying Yao. The network helps show where Ying Yao may publish in the future.
Co-authorship network of co-authors of Ying Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yao. A scholar is included among the top collaborators of Ying 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 Ying Yao. Ying 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 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 14 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | Prediction Model of Driving Energy Consumption Based on PCA and BP Network | 7 |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 251 | |
| 17 | 26 | |
| 18 | 6 | |
| 19 | 11 | |
| 20 | 1 |
About Ying Yao
Ying Yao is a scholar working on Biophysics, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 585 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Neuroscience and Neural Engineering (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (392 citations), Cognitive Neuroscience (212 citations) and Electrical and Electronic Engineering (320 citations). Ying Yao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Gayatri E. Perlin, Amir M. Sodagar, K.D. Wise, K. Najafi, M.N. Gulari, Khalil Najafi, Kensall D. Wise, Peng Shan, Silong Peng and Qiaoyun Wang. Their work appears in journals such as Proceedings of the IEEE, IEEE Access and IEEE Journal of Solid-State Circuits.
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.