Xiaoyuan Lu
About
In The Last Decade
Xiaoyuan Lu
8 papers receiving 320 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 164
- Computer Vision and Pattern Recognition 122
- Radiology, Nuclear Medicine and Imaging 118
- Neurology 95
- Biomedical Engineering 41
Countries citing papers authored by Xiaoyuan Lu
This map shows the geographic impact of Xiaoyuan Lu'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 Xiaoyuan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Lu more than expected).
Fields of papers citing papers by Xiaoyuan Lu
This network shows the impact of papers produced by Xiaoyuan Lu. 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 Xiaoyuan Lu. The network helps show where Xiaoyuan Lu may publish in the future.
Co-authorship network of co-authors of Xiaoyuan Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Lu. A scholar is included among the top collaborators of Xiaoyuan Lu 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 Xiaoyuan Lu. Xiaoyuan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 6 | |
| 3 | 77 | |
| 4 | 1 | |
| 5 | 40 | |
| 6 | 45 | |
| 7 | 58 | |
| 8 | 76 |
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.