Qizhi Yu
- Infectious Diseases top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Neurology top 5%
- Oncology
- Artificial Intelligence top 10%
- Topics
- COVID-19 Clinical Research Studies (10 papers)Computer Graphics and Visualization Techniques (5 papers)COVID-19 diagnosis using AI (5 papers)
In The Last Decade
Qizhi Yu
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 751
- Radiology, Nuclear Medicine and Imaging 597
- Neurology 271
- Oncology 214
- Artificial Intelligence 184
Countries citing papers authored by Qizhi Yu
This map shows the geographic impact of Qizhi 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 Qizhi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qizhi Yu more than expected).
Fields of papers citing papers by Qizhi Yu
This network shows the impact of papers produced by Qizhi 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 Qizhi Yu. The network helps show where Qizhi Yu may publish in the future.
Co-authorship network of co-authors of Qizhi Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Qizhi Yu. A scholar is included among the top collaborators of Qizhi Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qizhi Yu. Qizhi Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 78 | |
| 5 | 82 | |
| 6 | 23 | |
| 7 | 32 | |
| 8 | 183 | |
| 9 | 26 | |
| 10 | 40 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 10 | |
| 14 | Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Studybreakdown → | 823 |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | Spectrum-preserving texture advection for animated uids | 1 |
| 19 | 31 | |
| 20 | 1 |
About Qizhi Yu
Qizhi Yu is a scholar working on Computer Graphics and Computer-Aided Design, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Computer Graphics and Visualization Techniques (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Infectious Diseases (751 citations), Critical Care and Intensive Care Medicine (135 citations) and Radiology, Nuclear Medicine and Imaging (597 citations). Qizhi Yu has collaborated with scholars based in China, France and Australia. Frequent co-authors include Wei Zhao, Jun Liu, Xingzhi Xie, Zhicai Feng, Peng Li, Fabrice Neyret, Xiaodan Liang, Eric Bruneton, Yi Zhu and Nicolas Holzschuch. Their work appears in journals such as Scientific Reports, ACS Applied Materials & Interfaces and American Journal of Roentgenology.
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.