Daohai Yu
About
In The Last Decade
Daohai Yu
162 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.4k
- Oncology 1.4k
- Biomedical Engineering 1.0k
- Radiology, Nuclear Medicine and Imaging 750
- Immunology 704
Countries citing papers authored by Daohai Yu
This map shows the geographic impact of Daohai 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 Daohai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daohai Yu more than expected).
Fields of papers citing papers by Daohai Yu
This network shows the impact of papers produced by Daohai 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 Daohai Yu. The network helps show where Daohai Yu may publish in the future.
Co-authorship network of co-authors of Daohai Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Daohai Yu. A scholar is included among the top collaborators of Daohai 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 Daohai Yu. Daohai 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 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 24 | |
| 8 | Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study | 3 |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | A comparison of artificial intelligence and human diabetic retinal image interpretation in an urban health system. | 1 |
| 13 | 25 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 58 | |
| 17 | 146 | |
| 18 | 6 | |
| 19 | 35 | |
| 20 | 21 |
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.