Yu Song
- Cognitive Neuroscience top 5%
- Aerospace Engineering top 2%
- Experimental and Cognitive Psychology top 2%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Qiang GaoShuxiang GuoYimian DaiYiquan WuLinshuai ZhangZhe WangXuanchun YinHidenori Ishihara
- Topics
- EEG and Brain-Computer Interfaces (37 papers)Emotion and Mood Recognition (30 papers)Soft Robotics and Applications (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yu Song
111 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 606
- Aerospace Engineering 519
- Experimental and Cognitive Psychology 513
- Biomedical Engineering 484
- Electrical and Electronic Engineering 368
Countries citing papers authored by Yu Song
This map shows the geographic impact of Yu Song'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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Song more than expected).
Fields of papers citing papers by Yu Song
This network shows the impact of papers produced by Yu Song. 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 Song. The network helps show where Yu Song may publish in the future.
Co-authorship network of co-authors of Yu Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Song. A scholar is included among the top collaborators of Yu Song 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 Song. Yu Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 55 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 31 | |
| 19 | Small UAV localization method based on optical-flow and inertial navigation | 4 |
| 20 | Research on Hybrid Hierarchical Bounding Box Algorithm in Virtual Environments | 1 |
About Yu Song
Yu Song is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 131 papers that have together received 2.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (37 papers), Emotion and Mood Recognition (30 papers) and Soft Robotics and Applications (23 papers). The work is most often cited by research in Experimental and Cognitive Psychology (513 citations), Cognitive Neuroscience (606 citations) and Human-Computer Interaction (164 citations). Yu Song has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qiang Gao, Shuxiang Guo, Yimian Dai, Yiquan Wu, Linshuai Zhang, Zhe Wang, Xuanchun Yin, Hidenori Ishihara, Hideyuki Hirata and Takashi Tamiya. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.