Xiaohan Yu
Impact in
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- Magnetic and transport properties of perovskites and related materials
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Neural Network Applications 17
- Video Surveillance and Tracking Methods 12
- Image Retrieval and Classification Techniques 9
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- Magnetic and transport properties of perovskites and related materials 37
- Co-authors
- Yongsheng Gao (34 shared papers)Yang Sheng Zhao (11 shared papers)Xiang Liu (34 shared papers)Shengwu Xiong (21 shared papers)Jun Wang (7 shared papers)Shuaizhao Jin (28 shared papers)Xiaoli Guan (27 shared papers)Xin Gu (22 shared papers)
- Journals
- Pattern Recognition (20 papers)Ceramics International (17 papers)Journal of Alloys and Compounds (6 papers)Physical Review C (4 papers)Applied Surface Science (3 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiaohan Yu
152 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Electronic, Optical and Magnetic Materials 582
- Computer Vision and Pattern Recognition 448
- Artificial Intelligence 345
- Radiation 60
- Nuclear and High Energy Physics 120
Countries citing papers authored by Xiaohan Yu
This map shows the geographic impact of Xiaohan 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 Xiaohan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Yu more than expected).
Fields of papers citing papers by Xiaohan Yu
This network shows the impact of papers produced by Xiaohan 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 Xiaohan Yu. The network helps show where Xiaohan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohan 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 88 | |
| 2 | 2022 | 68 | |
| 3 | 2021 | 63 | |
| 4 | 2021 | 53 | |
| 5 | 2021 | 46 | |
| 6 | 2022 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2013 | 35 | |
| 9 | 2019 | 35 | |
| 10 | 2021 | 35 | |
| 11 | 2020 | 33 | |
| 12 | 2022 | 33 | |
| 13 | 2012 | 32 | |
| 14 | 2021 | 31 | |
| 15 | 2019 | 29 | |
| 16 | 2016 | 28 | |
| 17 | 2019 | 28 | |
| 18 | 2020 | 28 | |
| 19 | 2008 | 27 | |
| 20 | 2023 | 27 |
About Xiaohan Yu
Xiaohan Yu is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials, Artificial Intelligence, Nuclear and High Energy Physics and Radiation, having authored 169 papers that have together received 1.9k indexed citations. Recurring topics across this work include Magnetic and transport properties of perovskites and related materials (37 papers), Domain Adaptation and Few-Shot Learning (22 papers), Advanced Neural Network Applications (17 papers), Nuclear physics research studies (14 papers), Video Surveillance and Tracking Methods (12 papers), Image Retrieval and Classification Techniques (9 papers), Electrical and Thermal Properties of Materials (7 papers) and Advanced X-ray Imaging Techniques (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (582 citations), Computer Vision and Pattern Recognition (448 citations), Artificial Intelligence (345 citations), Radiation (60 citations) and Nuclear and High Energy Physics (120 citations). Xiaohan Yu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yongsheng Gao, Yang Sheng Zhao, Xiang Liu, Shengwu Xiong, Jun Wang, Shuaizhao Jin, Xiaoli Guan, Xin Gu, Xingrui Pu and Kaili Chu. Their work appears in journals such as Pattern Recognition, Ceramics International, Journal of Alloys and Compounds, Physical Review C and Applied Surface Science.
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.