Xianyu Wu
Impact in
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- Advanced Optical Sensing Technologies
Papers in
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- Advanced Image Processing Techniques 10
- Optical measurement and interference techniques 9
- Advanced Vision and Imaging 9
- Image Enhancement Techniques 4
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- Optical Coherence Tomography Applications 10
- Optical Polarization and Ellipsometry 10
- Photoacoustic and Ultrasonic Imaging 5
- Co-authors
- Feng Huang (20 shared papers)Kara Peters (4 shared papers)Shu Wang (4 shared papers)Hsiao‐Ying Shadow Huang (3 shared papers)Xuesong Wang (5 shared papers)Mark Pankow (3 shared papers)Ying Shen (1 shared paper)Jinyang Liang (1 shared paper)
- Journals
- Optics Express (6 papers)Sensors (5 papers)IEEE Sensors Journal (2 papers)Journal of Lightwave Technology (1 paper)Journal of the Optical Society of America A (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xianyu Wu
32 papers receiving 232 citations
Peers
Comparison fields: 5 of 63
- Acoustics and Ultrasonics 9
- Instrumentation 23
- Biophysics 30
- Media Technology 46
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Xianyu Wu
This map shows the geographic impact of Xianyu 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 Xianyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianyu Wu more than expected).
Fields of papers citing papers by Xianyu Wu
This network shows the impact of papers produced by Xianyu 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 Xianyu Wu. The network helps show where Xianyu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xianyu 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 50 | |
| 2 | 2021 | 33 | |
| 3 | 2019 | 19 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2018 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2015 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2023 | 3 |
About Xianyu Wu
Xianyu Wu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Media Technology, Electrical and Electronic Engineering and Aerospace Engineering, having authored 38 papers that have together received 263 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (10 papers), Optical Coherence Tomography Applications (10 papers), Optical Polarization and Ellipsometry (10 papers), Optical measurement and interference techniques (9 papers), Advanced Vision and Imaging (9 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Image Enhancement Techniques (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (9 citations), Instrumentation (23 citations), Biophysics (30 citations), Media Technology (46 citations) and Computer Vision and Pattern Recognition (87 citations). Xianyu Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Feng Huang, Kara Peters, Shu Wang, Hsiao‐Ying Shadow Huang, Xuesong Wang, Mark Pankow, Ying Shen, Jinyang Liang, Yunhua Yao and Zhenrong Sun. Their work appears in journals such as Optics Express, Sensors, IEEE Sensors Journal, Journal of Lightwave Technology and Journal of the Optical Society of America A.
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.