Kai Yu
Impact in
- Neurology top 10%
- Vagus Nerve Stimulation Research
- Transcranial Magnetic Stimulation Studies
- Biomedical Engineering top 10%
- Ultrasound and Hyperthermia Applications
- Photoacoustic and Ultrasonic Imaging
Papers in
-
- Vagus Nerve Stimulation Research 3
- Transcranial Magnetic Stimulation Studies 3
-
- Speech and Audio Processing 6
- Co-authors
- Bin HeXiaodan NiuEsther Krook‐MagnusonJames L. RobertsKe-Wen DongChang LiuAbbas SohrabpourRob A. Rutenbar
- Journals
- Journal of Hazardous Materials (3 papers)Journal of Neural Engineering (3 papers)IEEE Transactions on Biomedical Engineering (3 papers)Nature Communications (2 papers)Veterinary Sciences (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Kai Yu
46 papers receiving 983 citations
Peers
Comparison fields: 5 of 110
- Neurology 105
- Biomedical Engineering 459
- Radiology, Nuclear Medicine and Imaging 217
- Reproductive Medicine 67
- Cellular and Molecular Neuroscience 103
Countries citing papers authored by Kai Yu
This map shows the geographic impact of Kai Yu'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 Kai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yu more than expected).
Fields of papers citing papers by Kai Yu
This network shows the impact of papers produced by Kai Yu. 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 Kai Yu. The network helps show where Kai Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yu, 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 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 62 | |
| 11 | 2021 | 144 | |
| 12 | 2021 | 9 | |
| 13 | 2018 | 41 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 32 | |
| 16 | 2015 | 28 | |
| 17 | 2011 | 8 | |
| 18 | 2009 | 8 | |
| 19 | 1992 | 37 | |
| 20 | 1989 | 19 |
About Kai Yu
Kai Yu is a scholar working on Neurology, Signal Processing, Biomedical Engineering, Biological Psychiatry and Anesthesiology and Pain Medicine, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (15 papers), Ultrasound and Hyperthermia Applications (13 papers), Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers), Ultrasound Imaging and Elastography (4 papers), Ultrasound and Cavitation Phenomena (4 papers), Vagus Nerve Stimulation Research (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). The work is most often cited by research in Neurology (105 citations), Biomedical Engineering (459 citations), Radiology, Nuclear Medicine and Imaging (217 citations), Reproductive Medicine (67 citations) and Cellular and Molecular Neuroscience (103 citations). Kai Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Bin He, Xiaodan Niu, Esther Krook‐Magnuson, James L. Roberts, Ke-Wen Dong, Chang Liu, Abbas Sohrabpour, Rob A. Rutenbar, Xiaodan Niu and Tsuhan Chen. Their work appears in journals such as Journal of Hazardous Materials, Journal of Neural Engineering, IEEE Transactions on Biomedical Engineering, Nature Communications and Veterinary Sciences.
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.