Xiaxia Yu
Impact in
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS drug development and treatment 8
- COVID-19 Clinical Research Studies 4
-
- Acute Kidney Injury Research 5
- Co-authors
- Robert W. Harrison (10 shared papers)Irene T. Weber (8 shared papers)Haofan Huang (14 shared papers)Yi Gao (15 shared papers)Chen‐Hsiang Shen (2 shared papers)Yong Liu (5 shared papers)Ming Ting Wu (2 shared papers)Prosenjit K. Bose (1 shared paper)
- Journals
- IEEE Access (3 papers)BMC Bioinformatics (2 papers)Annals of Translational Medicine (2 papers)ACS Sensors (2 papers)Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaxia Yu
44 papers receiving 428 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 137
- Health Informatics 12
- Nephrology 34
- Computational Theory and Mathematics 49
- Endocrinology 9
Countries citing papers authored by Xiaxia Yu
This map shows the geographic impact of Xiaxia 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 Xiaxia Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaxia Yu more than expected).
Fields of papers citing papers by Xiaxia Yu
This network shows the impact of papers produced by Xiaxia 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 Xiaxia Yu. The network helps show where Xiaxia Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaxia 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 35 | |
| 2 | 2014 | 33 | |
| 3 | 2021 | 32 | |
| 4 | 2016 | 25 | |
| 5 | 2021 | 23 | |
| 6 | 2013 | 22 | |
| 7 | 2016 | 22 | |
| 8 | 2011 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2012 | 13 | |
| 13 | 2012 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2017 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2022 | 8 |
About Xiaxia Yu
Xiaxia Yu is a scholar working on Infectious Diseases, Nephrology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 49 papers that have together received 437 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), Medical Image Segmentation Techniques (7 papers), Acute Kidney Injury Research (5 papers), Computational Drug Discovery Methods (5 papers), Sepsis Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (4 papers), Machine Learning in Bioinformatics (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Infectious Diseases (137 citations), Health Informatics (12 citations), Nephrology (34 citations), Computational Theory and Mathematics (49 citations) and Endocrinology (9 citations). Xiaxia Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Robert W. Harrison, Irene T. Weber, Haofan Huang, Yi Gao, Chen‐Hsiang Shen, Yong Liu, Ming Ting Wu, Prosenjit K. Bose, Chuan Huang and Nian Xiong. Their work appears in journals such as IEEE Access, BMC Bioinformatics, Annals of Translational Medicine, ACS Sensors and Biochemistry.
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.