Sheng‐Kai Wu
Impact in
- Biomedical Engineering top 5%
- Ultrasound and Hyperthermia Applications
- Photoacoustic and Ultrasonic Imaging
- Nanoplatforms for cancer theranostics
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Ultrasound and Hyperthermia Applications 18
- Photoacoustic and Ultrasonic Imaging 11
- Nanoplatforms for cancer theranostics 2
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- Ultrasound Imaging and Elastography 4
- MRI in cancer diagnosis 2
- Co-authors
- Kullervo Hynynen (9 shared papers)Chia‐Lin Tsai (4 shared papers)Win-Li Lin (5 shared papers)Yuexi Huang (1 shared paper)Stuart L. Marcus (2 shared papers)Ching‐Hsiang Fan (1 shared paper)Hao-Li Liu (1 shared paper)Chih‐Kuang Yeh (1 shared paper)
- Journals
- Scientific Reports (5 papers)Journal of Controlled Release (2 papers)Pharmaceutics (1 paper)Nanoscale Research Letters (1 paper)PLoS ONE (1 paper)
- Partner nations
- TaiwanCanadaUnited States
In The Last Decade
Sheng‐Kai Wu
20 papers receiving 627 citations
Peers
Comparison fields: 5 of 67
- Biomedical Engineering 493
- Biomaterials 105
- Radiology, Nuclear Medicine and Imaging 124
- Neurology 33
- Genetics 36
Countries citing papers authored by Sheng‐Kai Wu
This map shows the geographic impact of Sheng‐Kai Wu'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 Sheng‐Kai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng‐Kai Wu more than expected).
Fields of papers citing papers by Sheng‐Kai Wu
This network shows the impact of papers produced by Sheng‐Kai Wu. 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 Sheng‐Kai Wu. The network helps show where Sheng‐Kai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng‐Kai Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 128 | |
| 2 | 2020 | 76 | |
| 3 | 2019 | 70 | |
| 4 | 2017 | 63 | |
| 5 | 2021 | 46 | |
| 6 | 2018 | 41 | |
| 7 | 2014 | 36 | |
| 8 | 2015 | 34 | |
| 9 | 2020 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 2016 | 20 | |
| 12 | 2018 | 16 | |
| 13 | 2010 | 10 | |
| 14 | 2010 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2020 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2020 | 3 |
About Sheng‐Kai Wu
Sheng‐Kai Wu is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Neurology and Surgery, having authored 21 papers that have together received 636 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (18 papers), Photoacoustic and Ultrasonic Imaging (11 papers), Ultrasound and Cavitation Phenomena (5 papers), Ultrasound Imaging and Elastography (4 papers), MRI in cancer diagnosis (2 papers), Nanoplatforms for cancer theranostics (2 papers), Sympathectomy and Hyperhidrosis Treatments (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Biomedical Engineering (493 citations), Biomaterials (105 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Neurology (33 citations) and Genetics (36 citations). Sheng‐Kai Wu has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Kullervo Hynynen, Chia‐Lin Tsai, Win-Li Lin, Yuexi Huang, Stuart L. Marcus, Ching‐Hsiang Fan, Hao-Li Liu, Chih‐Kuang Yeh, Houng‐Chi Liou and Wen Fu. Their work appears in journals such as Scientific Reports, Journal of Controlled Release, Pharmaceutics, Nanoscale Research Letters and PLoS ONE.
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.