Kailiang Wu
About
In The Last Decade
Kailiang Wu
34 papers receiving 680 citations
Peers
Comparison fields: 5 of 75
- Computational Mechanics 367
- Statistical and Nonlinear Physics 318
- Statistics, Probability and Uncertainty 139
- Applied Mathematics 108
- Artificial Intelligence 96
Countries citing papers authored by Kailiang Wu
This map shows the geographic impact of Kailiang Wu'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 Kailiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailiang Wu more than expected).
Fields of papers citing papers by Kailiang Wu
This network shows the impact of papers produced by Kailiang Wu. 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 Kailiang Wu. The network helps show where Kailiang Wu may publish in the future.
Co-authorship network of co-authors of Kailiang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Kailiang Wu. A scholar is included among the top collaborators of Kailiang Wu 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 Kailiang Wu. Kailiang Wu 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 | 4 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 33 | |
| 11 | 22 | |
| 12 | 183 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | 7 | |
| 16 | 24 | |
| 17 | 54 | |
| 18 | 11 | |
| 19 | 22 | |
| 20 | 19 |
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.