Shansong Liu
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Physiology
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Xunying LiuHelen MengJianwei YuShoukang HuMengzhe GengXurong XieShi-Xiong ZhangMax W. Y. Lam
- Topics
- Speech Recognition and Synthesis (22 papers)Speech and Audio Processing (16 papers)Music and Audio Processing (16 papers)
- Journals
- Proceedings of the IEEEExpert Systems with ApplicationsIEEE/ACM Transactions on Audio Speech and Language Processing
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shansong Liu
28 papers receiving 412 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 331
- Signal Processing 255
- Physiology 182
- Experimental and Cognitive Psychology 99
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Shansong Liu
This map shows the geographic impact of Shansong Liu'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 Shansong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shansong Liu more than expected).
Fields of papers citing papers by Shansong Liu
This network shows the impact of papers produced by Shansong Liu. 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 Shansong Liu. The network helps show where Shansong Liu may publish in the future.
Co-authorship network of co-authors of Shansong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shansong Liu. A scholar is included among the top collaborators of Shansong Liu 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 Shansong Liu. Shansong Liu 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 | 8 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 57 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 11 | |
| 12 | 25 | |
| 13 | 15 | |
| 14 | The CUHK Dysarthric Speech Recognition Systems for English and Cantonese. | 11 |
| 15 | 12 | |
| 16 | 15 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 35 | |
| 20 | 10 |
About Shansong Liu
Shansong Liu is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 31 papers that have together received 432 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (16 papers). The work is most often cited by research in Signal Processing (255 citations), Artificial Intelligence (331 citations) and Experimental and Cognitive Psychology (99 citations). Shansong Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xunying Liu, Helen Meng, Jianwei Yu, Shoukang Hu, Mengzhe Geng, Xurong Xie, Shi-Xiong Zhang, Max W. Y. Lam, Bo Wu and Zi Ye. Their work appears in journals such as Proceedings of the IEEE, Expert Systems with Applications and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.