Xuesong Yang
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 10%
- Neurology
- Co-authors
- Mark Hasegawa‐JohnsonKaizhi QianShiyu ChangYong FanShuicheng YanYang ZhangDinei FlorêncioHancan Zhu
- Topics
- Speech Recognition and Synthesis (13 papers)Speech and Audio Processing (12 papers)Music and Audio Processing (4 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Xuesong Yang
23 papers receiving 234 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 144
- Signal Processing 141
- Computer Vision and Pattern Recognition 69
- Industrial and Manufacturing Engineering 28
- Neurology 28
Countries citing papers authored by Xuesong Yang
This map shows the geographic impact of Xuesong Yang'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 Xuesong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuesong Yang more than expected).
Fields of papers citing papers by Xuesong Yang
This network shows the impact of papers produced by Xuesong Yang. 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 Xuesong Yang. The network helps show where Xuesong Yang may publish in the future.
Co-authorship network of co-authors of Xuesong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xuesong Yang. A scholar is included among the top collaborators of Xuesong Yang 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 Xuesong Yang. Xuesong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss | 39 |
| 4 | Zero-Shot Voice Style Transfer with Only Autoencoder Loss. | 11 |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 47 | |
| 11 | 1 | |
| 12 | Landmark-based pronunciation error identification on Chinese learning | 4 |
| 13 | 27 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 0 | |
| 19 | 6 | |
| 20 | Research on Describing the Existing Medical Care Process of Coronary Artery Bypass Graft at One Teaching Hospital in Beijing | 1 |
About Xuesong Yang
Xuesong Yang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 257 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (141 citations), Artificial Intelligence (144 citations) and Computer Vision and Pattern Recognition (69 citations). Xuesong Yang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Mark Hasegawa‐Johnson, Kaizhi Qian, Shiyu Chang, Yong Fan, Shuicheng Yan, Yang Zhang, Dinei Florêncio, Hancan Zhu, Xia Li and Hong Liu. Their work appears in journals such as The Journal of the Acoustical Society of America, Information Sciences and Neuroinformatics.
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.