Yikai Wang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Signal Processing top 10%
- Cognitive Neuroscience
- Co-authors
- Yanwei FuLi ZhangChen LiuChengming XuYing GuoXinwei SunZishu HeYuan Yao
- Topics
- Domain Adaptation and Few-Shot Learning (5 papers)Direction-of-Arrival Estimation Techniques (4 papers)Blind Source Separation Techniques (4 papers)
- Journals
- Journal of the American Statistical AssociationRenewable and Sustainable Energy ReviewsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yikai Wang
22 papers receiving 356 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 196
- Computer Vision and Pattern Recognition 123
- Radiology, Nuclear Medicine and Imaging 56
- Signal Processing 54
- Cognitive Neuroscience 46
Countries citing papers authored by Yikai Wang
This map shows the geographic impact of Yikai 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 Yikai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yikai Wang more than expected).
Fields of papers citing papers by Yikai Wang
This network shows the impact of papers produced by Yikai 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 Yikai Wang. The network helps show where Yikai Wang may publish in the future.
Co-authorship network of co-authors of Yikai Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yikai Wang. A scholar is included among the top collaborators of Yikai 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 Yikai Wang. Yikai 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 | 6 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 27 | |
| 8 | 0 | |
| 9 | 40 | |
| 10 | 139 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 21 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | Policy-based secure agents | 0 |
About Yikai Wang
Yikai Wang is a scholar working on Signal Processing, Artificial Intelligence and Oceanography, having authored 26 papers that have together received 359 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Direction-of-Arrival Estimation Techniques (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (196 citations), Computer Vision and Pattern Recognition (123 citations) and Signal Processing (54 citations). Yikai Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yanwei Fu, Li Zhang, Chen Liu, Chengming Xu, Ying Guo, Xinwei Sun, Zishu He, Yuan Yao, Amanda F. Mejia and Mary Beth Nebel. Their work appears in journals such as Journal of the American Statistical Association, Renewable and Sustainable Energy Reviews and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.