Tai‐Sing Wu
About
In The Last Decade
Tai‐Sing Wu
132 papers receiving 5.1k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tai‐Sing Wu Taiwan | 37 | 2.8k | 2.6k | 2.0k | 1.5k | 784 | 135 | 5.2k | ||
| Csaba Janáky Hungary | 42 | 2.6k 0.9× | 3.8k 1.5× | 2.5k 1.2× | 1.2k 0.8× | 962 1.2× | 155 | 5.8k | ||
| Jinyun Liao China | 37 | 3.0k 1.1× | 2.3k 0.9× | 1.6k 0.8× | 672 0.5× | 371 0.5× | 94 | 4.6k | ||
| Ranjit Thapa India | 43 | 3.6k 1.3× | 3.2k 1.2× | 2.9k 1.4× | 1.3k 0.9× | 376 0.5× | 234 | 6.5k | ||
| Chao Cai China | 37 | 2.0k 0.7× | 3.3k 1.3× | 2.7k 1.3× | 908 0.6× | 314 0.4× | 80 | 5.0k | ||
| Jun Gu China | 32 | 2.3k 0.8× | 3.9k 1.5× | 2.2k 1.1× | 1.6k 1.1× | 186 0.2× | 105 | 5.7k | ||
| Jeng‐Lung Chen Taiwan | 39 | 2.1k 0.8× | 2.5k 1.0× | 2.2k 1.1× | 676 0.5× | 315 0.4× | 178 | 5.2k | ||
| Rosa Arrigo Germany | 37 | 2.8k 1.0× | 3.3k 1.3× | 2.1k 1.0× | 1.1k 0.7× | 159 0.2× | 77 | 5.4k | ||
| Jennifer Strunk Germany | 35 | 3.3k 1.2× | 2.7k 1.0× | 1.0k 0.5× | 957 0.7× | 154 0.2× | 108 | 4.3k | ||
| Chunlei Wang China | 23 | 2.7k 1.0× | 1.7k 0.7× | 1.2k 0.6× | 733 0.5× | 192 0.2× | 66 | 3.7k | ||
| Kuang‐Hsu Wu Australia | 41 | 2.3k 0.8× | 4.3k 1.7× | 3.5k 1.7× | 937 0.6× | 212 0.3× | 99 | 6.2k |
Countries citing papers authored by Tai‐Sing Wu
This map shows the geographic impact of Tai‐Sing 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 Tai‐Sing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Sing Wu more than expected).
Fields of papers citing papers by Tai‐Sing Wu
This network shows the impact of papers produced by Tai‐Sing 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 Tai‐Sing Wu. The network helps show where Tai‐Sing Wu may publish in the future.
Co-authorship network of co-authors of Tai‐Sing Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Sing Wu. A scholar is included among the top collaborators of Tai‐Sing 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 Tai‐Sing Wu. Tai‐Sing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.