Te-Yen Wu
About
In The Last Decade
Te-Yen Wu
26 papers receiving 461 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Te-Yen Wu United States | 15 | 342 | 229 | 111 | 56 | 41 | 29 | 469 | ||
| Shoya Ishimaru Germany | 14 | 337 1.0× | 181 0.8× | 173 1.6× | 57 1.0× | 25 0.6× | 58 | 638 | ||
| Jochen Huber Germany | 15 | 540 1.6× | 372 1.6× | 302 2.7× | 56 1.0× | 19 0.5× | 54 | 802 | ||
| Byungjoo Lee South Korea | 12 | 257 0.8× | 229 1.0× | 103 0.9× | 24 0.4× | 36 0.9× | 47 | 465 | ||
| Teddy Seyed Canada | 16 | 593 1.7× | 329 1.4× | 182 1.6× | 73 1.3× | 31 0.8× | 37 | 690 | ||
| Buntarou Shizuki Japan | 13 | 499 1.5× | 349 1.5× | 175 1.6× | 65 1.2× | 57 1.4× | 94 | 655 | ||
| Rose Johnson United Kingdom | 9 | 281 0.8× | 150 0.7× | 145 1.3× | 47 0.8× | 22 0.5× | 15 | 495 | ||
| César Torres United States | 12 | 314 0.9× | 90 0.4× | 90 0.8× | 38 0.7× | 18 0.4× | 29 | 432 | ||
| Roy Shilkrot United States | 14 | 385 1.1× | 272 1.2× | 269 2.4× | 27 0.5× | 20 0.5× | 39 | 662 | ||
| Atau Tanaka United Kingdom | 15 | 366 1.1× | 391 1.7× | 484 4.4× | 33 0.6× | 13 0.3× | 71 | 777 | ||
| Gabriel Reyes United States | 12 | 263 0.8× | 156 0.7× | 121 1.1× | 20 0.4× | 44 1.1× | 23 | 415 |
Countries citing papers authored by Te-Yen Wu
This map shows the geographic impact of Te-Yen 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 Te-Yen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te-Yen Wu more than expected).
Fields of papers citing papers by Te-Yen Wu
This network shows the impact of papers produced by Te-Yen 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 Te-Yen Wu. The network helps show where Te-Yen Wu may publish in the future.
Co-authorship network of co-authors of Te-Yen Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Te-Yen Wu. A scholar is included among the top collaborators of Te-Yen 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 Te-Yen Wu. Te-Yen 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.