Yikai Wang
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 5
- Signal Processing top 10%
- Direction-of-Arrival Estimation Techniques 4
- Blind Source Separation Techniques 4
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- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 3
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- Advanced Photonic Communication Systems 4
- Optical Network Technologies 4
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- Radar Systems and Signal Processing 4
- Co-authors
- Yanwei FuLi ZhangChen LiuChengming XuYing GuoXinwei SunZishu HeYuan Yao
- Journals
- Journal of the American Statistical Association (1 paper)Renewable and Sustainable Energy Reviews (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- 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
- Signal Processing 54
- Media Technology 24
- Radiology, Nuclear Medicine and Imaging 56
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
The 25 scholars most cited alongside Yikai Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 40 | |
| 10 | 2020 | 139 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 9 | |
| 13 | 2019 | 21 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 18 | |
| 16 | 2017 | 5 | |
| 17 | 2015 | 6 | |
| 18 | 2014 | 4 | |
| 19 | 2013 | 2 | |
| 20 | Policy-based secure agents | 2011 | 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), Blind Source Separation Techniques (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced Photonic Communication Systems (4 papers), Optical Network Technologies (4 papers), Radar Systems and Signal Processing (4 papers) and Neural dynamics and brain function (3 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.