Xiaxia Yu
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS drug development and treatment 9
- COVID-19 Clinical Research Studies 4
- Virology 9
- HIV Research and Treatment 9
- Co-authors
- Robert W. Harrison (10 shared papers)Irene T. Weber (8 shared papers)Yi Gao (15 shared papers)Chen‐Hsiang Shen (2 shared papers)Yong Liu (5 shared papers)Prosenjit Bose (1 shared paper)Ming Wu (2 shared papers)Chuan Huang (5 shared papers)
- Journals
- IEEE Access (3 papers)Annals of Translational Medicine (2 papers)Biochemistry (2 papers)BMC Bioinformatics (2 papers)ACS Sensors (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaxia Yu
42 papers receiving 365 citations
Peers
Comparison fields: 5 of 96
- Virology 115
- Infectious Diseases 142
- Hepatology 51
- Health Informatics 6
- Critical Care and Intensive Care Medicine 21
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 32 | |
| 2 | 2014 | 29 | |
| 3 | 2021 | 25 | |
| 4 | 2016 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2013 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2011 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2012 | 12 | |
| 12 | Large-scale Analysis of Opioid Poisoning Related Hospital Visits in New York State. | 2017 | 11 |
| 13 | 2021 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2019 | 6 |
About Xiaxia Yu
Xiaxia Yu is a scholar working on Infectious Diseases, Virology, Computer Vision and Pattern Recognition, Epidemiology and Artificial Intelligence, having authored 44 papers that have together received 370 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (9 papers), Sepsis Diagnosis and Treatment (8 papers), Hepatitis C virus research (5 papers), Medical Image Segmentation Techniques (5 papers), AI in cancer detection (4 papers), Acute Kidney Injury Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Virology (115 citations), Infectious Diseases (142 citations), Hepatology (51 citations), Health Informatics (6 citations) and Critical Care and Intensive Care Medicine (21 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, Yi Gao, Chen‐Hsiang Shen, Yong Liu, Prosenjit Bose, Ming Wu, Chuan Huang, Nian Xiong and Song Jiang. Their work appears in journals such as IEEE Access, Annals of Translational Medicine, Biochemistry, BMC Bioinformatics and ACS Sensors.
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.