Xia Yu
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
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- Artificial Intelligence in Healthcare
Papers in
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- Diabetes Management and Research 22
- Co-authors
- Xin Geng (2 shared papers)Hongru Li (24 shared papers)Jianchang Liu (13 shared papers)Shaohua Wan (3 shared papers)Qin Wang (1 shared paper)Tao Yang (7 shared papers)Yee‐Hong Yang (1 shared paper)Mohammed Atiquzzaman (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (6 papers)Applied Sciences (2 papers)BMC Medical Informatics and Decision Making (2 papers)IEEE Transactions on Control Systems Technology (2 papers)Journal of Meteorological Research (2 papers)
- Partner nations
- ChinaUnited StatesGreece
In The Last Decade
Xia Yu
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 339
- Health Information Management 64
- Signal Processing 142
- Endocrinology, Diabetes and Metabolism 172
- Artificial Intelligence 319
Countries citing papers authored by Xia Yu
This map shows the geographic impact of Xia 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 Xia Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Yu more than expected).
Fields of papers citing papers by Xia Yu
This network shows the impact of papers produced by Xia 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 Xia Yu. The network helps show where Xia Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 131 | |
| 2 | 2020 | 108 | |
| 3 | 2014 | 78 | |
| 4 | 2009 | 56 | |
| 5 | 2023 | 41 | |
| 6 | 2020 | 40 | |
| 7 | 2022 | 37 | |
| 8 | 2016 | 37 | |
| 9 | 2018 | 35 | |
| 10 | 2018 | 33 | |
| 11 | 2015 | 32 | |
| 12 | 2021 | 32 | |
| 13 | 2017 | 29 | |
| 14 | 2011 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2018 | 27 | |
| 17 | 2016 | 26 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 19 | |
| 20 | 2022 | 19 |
About Xia Yu
Xia Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (22 papers), Meteorological Phenomena and Simulations (8 papers), Climate variability and models (8 papers), Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (7 papers), Fault Detection and Control Systems (6 papers), ECG Monitoring and Analysis (6 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (339 citations), Health Information Management (64 citations), Signal Processing (142 citations), Endocrinology, Diabetes and Metabolism (172 citations) and Artificial Intelligence (319 citations). Xia Yu has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Xin Geng, Hongru Li, Jianchang Liu, Shaohua Wan, Qin Wang, Tao Yang, Yee‐Hong Yang, Mohammed Atiquzzaman, Lianyong Qi and Ning Ma. Their work appears in journals such as Biomedical Signal Processing and Control, Applied Sciences, BMC Medical Informatics and Decision Making, IEEE Transactions on Control Systems Technology and Journal of Meteorological Research.
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.