Xueli Yu
About
In The Last Decade
Xueli Yu
28 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 291
- Information Systems 158
- Molecular Biology 95
- Computer Vision and Pattern Recognition 52
- Neurology 35
Countries citing papers authored by Xueli Yu
This map shows the geographic impact of Xueli 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 Xueli Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueli Yu more than expected).
Fields of papers citing papers by Xueli Yu
This network shows the impact of papers produced by Xueli 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 Xueli Yu. The network helps show where Xueli Yu may publish in the future.
Co-authorship network of co-authors of Xueli Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Xueli Yu. A scholar is included among the top collaborators of Xueli 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 Xueli Yu. Xueli 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 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | Dynamic Graph Neural Networks for Sequential Recommendation breakdown → | 141 |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 191 | |
| 9 | 6 | |
| 10 | 34 | |
| 11 | 35 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 2 |
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.