Xi Yu
Impact in
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- Forensic Fingerprint Detection Methods
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- Analytical Chemistry and Sensors
Papers in
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- Domain Adaptation and Few-Shot Learning 7
- Adversarial Robustness in Machine Learning 5
- Co-authors
- José C. Prı́ncipe (7 shared papers)Shujian Yu (5 shared papers)Changzhi Li (3 shared papers)Jenshan Lin (3 shared papers)Francesco Alesiani (3 shared papers)Bing Ouyang (5 shared papers)S. J. Pearton (2 shared papers)John K. Reed (4 shared papers)
- Journals
- IET Nanobiotechnology (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)Electronics (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Xi Yu
39 papers receiving 250 citations
Peers
Comparison fields: 5 of 93
- Safety Research 26
- Bioengineering 16
- Artificial Intelligence 69
- Signal Processing 22
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Xi Yu
This map shows the geographic impact of Xi 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 Xi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Yu more than expected).
Fields of papers citing papers by Xi Yu
This network shows the impact of papers produced by Xi 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 Xi Yu. The network helps show where Xi Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 42 | |
| 2 | 2022 | 15 | |
| 3 | 2015 | 15 | |
| 4 | 2021 | 14 | |
| 5 | 2021 | 13 | |
| 6 | 2024 | 13 | |
| 7 | 2011 | 13 | |
| 8 | Adversarial Reweighting for Partial Domain Adaptation | 2021 | 12 |
| 9 | 2013 | 12 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About Xi Yu
Xi Yu is a scholar working on Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering, Oceanography and Ecology, having authored 45 papers that have together received 258 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Adversarial Robustness in Machine Learning (5 papers), Coral and Marine Ecosystems Studies (4 papers), Underwater Acoustics Research (4 papers), Second Language Acquisition and Learning (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Remote-Sensing Image Classification (3 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Safety Research (26 citations), Bioengineering (16 citations), Artificial Intelligence (69 citations), Signal Processing (22 citations) and Computer Vision and Pattern Recognition (33 citations). Xi Yu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include José C. Prı́ncipe, Shujian Yu, Changzhi Li, Jenshan Lin, Francesco Alesiani, Bing Ouyang, S. J. Pearton, John K. Reed, H. Eric Tseng and Yuewei Lin. Their work appears in journals such as IET Nanobiotechnology, Colloids and Surfaces A Physicochemical and Engineering Aspects, Electronics, IEEE Transactions on Image Processing and IEEE Access.
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.