Xuhui Shao
About
In The Last Decade
Xuhui Shao
8 papers receiving 272 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 109
- Marketing 80
- Computer Vision and Pattern Recognition 71
- Control and Systems Engineering 52
- Management Science and Operations Research 45
Countries citing papers authored by Xuhui Shao
This map shows the geographic impact of Xuhui Shao'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 Xuhui Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuhui Shao more than expected).
Fields of papers citing papers by Xuhui Shao
This network shows the impact of papers produced by Xuhui Shao. 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 Xuhui Shao. The network helps show where Xuhui Shao may publish in the future.
Co-authorship network of co-authors of Xuhui Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Xuhui Shao. A scholar is included among the top collaborators of Xuhui Shao 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 Xuhui Shao. Xuhui Shao 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 | 11 | |
| 3 | 78 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 21 | |
| 7 | 27 | |
| 8 | 148 | |
| 9 | Model selection using statistical learning theory | 1 |
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.