Liyuan Wang
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Marketing top 5%
- Co-authors
- Jun ZhuHang SuXingxing ZhangYanhua WangBiao XieHao YangMingli ZhangPuneet Sharma
- Topics
- Speech Recognition and Synthesis (17 papers)Speech and Audio Processing (8 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEuropean Journal of Operational ResearchHuman Molecular Genetics
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Liyuan Wang
43 papers receiving 895 citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 350
- Computer Networks and Communications 146
- Computer Vision and Pattern Recognition 129
- Plant Science 117
- Marketing 115
Countries citing papers authored by Liyuan Wang
This map shows the geographic impact of Liyuan Wang'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 Liyuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyuan Wang more than expected).
Fields of papers citing papers by Liyuan Wang
This network shows the impact of papers produced by Liyuan Wang. 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 Liyuan Wang. The network helps show where Liyuan Wang may publish in the future.
Co-authorship network of co-authors of Liyuan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Liyuan Wang. A scholar is included among the top collaborators of Liyuan Wang 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 Liyuan Wang. Liyuan Wang 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | Topology Control Algorithm and Channel Allocation Algorithm Based on Load Balancing in Wireless Sensor Network. | 3 |
| 17 | 19 | |
| 18 | 169 | |
| 19 | 5 | |
| 20 | 3 |
About Liyuan Wang
Liyuan Wang is a scholar working on Signal Processing, Artificial Intelligence and Aging, having authored 55 papers that have together received 929 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Marketing (115 citations), Artificial Intelligence (350 citations) and Computer Networks and Communications (146 citations). Liyuan Wang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Jun Zhu, Hang Su, Xingxing Zhang, Yanhua Wang, Biao Xie, Hao Yang, Mingli Zhang, Puneet Sharma, Chen‐Nee Chuah and Yi Zhong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and Human Molecular Genetics.
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.