Tai Ping Liu
About
In The Last Decade
Tai Ping Liu
8 papers receiving 436 citations
Peers
Comparison fields: 5 of 47
- Applied Mathematics 424
- Computational Mechanics 295
- Mathematical Physics 243
- Control and Systems Engineering 62
- Statistical and Nonlinear Physics 35
Countries citing papers authored by Tai Ping Liu
This map shows the geographic impact of Tai Ping Liu'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 Tai Ping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Ping Liu more than expected).
Fields of papers citing papers by Tai Ping Liu
This network shows the impact of papers produced by Tai Ping Liu. 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 Tai Ping Liu. The network helps show where Tai Ping Liu may publish in the future.
Co-authorship network of co-authors of Tai Ping Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Tai Ping Liu. A scholar is included among the top collaborators of Tai Ping Liu 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 Tai Ping Liu. Tai Ping Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 53 | |
| 3 | 138 | |
| 4 | 25 | |
| 5 | 38 | |
| 6 | 55 | |
| 7 | 24 | |
| 8 | 135 |
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.