Sanyuan Chen
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Topics
- Speech Recognition and Synthesis (18 papers)Speech and Audio Processing (13 papers)Music and Audio Processing (11 papers)
- Journals
- Sensors and Actuators A PhysicalIEEE Journal of Selected Topics in Signal ProcessingOptics & Laser Technology
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Sanyuan Chen
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 1.1k
- Signal Processing 763
- Experimental and Cognitive Psychology 136
- Computer Vision and Pattern Recognition 126
- Biomedical Engineering 40
Countries citing papers authored by Sanyuan Chen
This map shows the geographic impact of Sanyuan Chen'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 Sanyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanyuan Chen more than expected).
Fields of papers citing papers by Sanyuan Chen
This network shows the impact of papers produced by Sanyuan Chen. 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 Sanyuan Chen. The network helps show where Sanyuan Chen may publish in the future.
Co-authorship network of co-authors of Sanyuan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Sanyuan Chen. A scholar is included among the top collaborators of Sanyuan Chen 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 Sanyuan Chen. Sanyuan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neural Codec Language Models are Zero-Shot Text to Speech Synthesizersbreakdown → | 24 |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | 15 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 58 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 46 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 85 | |
| 18 | MotherNets: Rapid Deep Ensemble Learning | 8 |
| 19 | 38 | |
| 20 | 5 |
About Sanyuan Chen
Sanyuan Chen is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). The work is most often cited by research in Signal Processing (763 citations), Artificial Intelligence (1.1k citations) and Experimental and Cognitive Psychology (136 citations). Sanyuan Chen has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Shujie Liu, Yu Wu, Jinyu Li, Chengyi Wang, Xiangzhan Yu, Jian Wu, Takuya Yoshioka, Yao Qian, Zhengyang Chen and Furu Wei. Their work appears in journals such as Sensors and Actuators A Physical, IEEE Journal of Selected Topics in Signal Processing and Optics & Laser Technology.
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.