Xia Yu
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Diabetes Management and Research 24
- 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)Lianyong Qi (1 shared paper)Yee‐Hong Yang (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (6 papers)IEEE Transactions on Control Systems Technology (2 papers)Applied Soft Computing (2 papers)Neural Computing and Applications (2 papers)Journal of Meteorological Research (2 papers)
- Partner nations
- ChinaUnited StatesGreece
In The Last Decade
Xia Yu
74 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 340
- Health Information Management 63
- Signal Processing 138
- Endocrinology, Diabetes and Metabolism 176
- 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2020 | 108 | |
| 3 | 2014 | 77 | |
| 4 | 2009 | 56 | |
| 5 | 2023 | 38 | |
| 6 | 2020 | 37 | |
| 7 | 2016 | 36 | |
| 8 | 2022 | 35 | |
| 9 | 2018 | 35 | |
| 10 | 2021 | 32 | |
| 11 | 2015 | 31 | |
| 12 | 2018 | 31 | |
| 13 | 2017 | 29 | |
| 14 | 2011 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2018 | 27 | |
| 17 | 2016 | 26 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 19 | |
| 20 | 2022 | 18 |
About Xia Yu
Xia Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (24 papers), Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (8 papers), Meteorological Phenomena and Simulations (8 papers), Climate variability and models (8 papers), Artificial Intelligence in Healthcare (7 papers), Fault Detection and Control Systems (6 papers) and ECG Monitoring and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (340 citations), Health Information Management (63 citations), Signal Processing (138 citations), Endocrinology, Diabetes and Metabolism (176 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, Lianyong Qi, Yee‐Hong Yang, Mohammed Atiquzzaman and Ning Ma. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Transactions on Control Systems Technology, Applied Soft Computing, Neural Computing and Applications 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.