Wu‐Ching Uen
About
In The Last Decade
Wu‐Ching Uen
10 papers receiving 484 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wu‐Ching Uen Taiwan | 8 | 227 | 204 | 174 | 137 | 96 | 10 | 502 | ||
| Marianne Asso‐Bonnet France | 8 | 107 0.5× | 47 0.2× | 104 0.6× | 125 0.9× | 80 0.8× | 9 | 374 | ||
| Katharina Weyrer Austria | 11 | 148 0.7× | 85 0.4× | 122 0.7× | 102 0.7× | 41 0.4× | 13 | 393 | ||
| Alessandra Viglio Italy | 12 | 97 0.4× | 59 0.3× | 230 1.3× | 216 1.6× | 37 0.4× | 28 | 478 | ||
| Virginie Eclache-Saudreau Switzerland | 2 | 162 0.7× | 301 1.5× | 208 1.2× | 285 2.1× | 52 0.5× | 2 | 558 | ||
| G. Bellesi Italy | 11 | 81 0.4× | 84 0.4× | 83 0.5× | 172 1.3× | 78 0.8× | 16 | 336 | ||
| B. Kfir Israel | 8 | 183 0.8× | 136 0.7× | 76 0.4× | 37 0.3× | 125 1.3× | 12 | 375 | ||
| Cheol Won Suh South Korea | 9 | 51 0.2× | 42 0.2× | 129 0.7× | 116 0.8× | 45 0.5× | 29 | 275 | ||
| F. Salmaso Italy | 8 | 82 0.4× | 112 0.5× | 115 0.7× | 117 0.9× | 37 0.4× | 16 | 282 | ||
| Takahisa� Nakanishi Japan | 11 | 59 0.3× | 33 0.2× | 84 0.5× | 44 0.3× | 125 1.3× | 38 | 381 | ||
| Cristina Andrizzi Italy | 6 | 70 0.3× | 140 0.7× | 151 0.9× | 107 0.8× | 50 0.5× | 11 | 397 |
Countries citing papers authored by Wu‐Ching Uen
This map shows the geographic impact of Wu‐Ching Uen'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 Wu‐Ching Uen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu‐Ching Uen more than expected).
Fields of papers citing papers by Wu‐Ching Uen
This network shows the impact of papers produced by Wu‐Ching Uen. 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 Wu‐Ching Uen. The network helps show where Wu‐Ching Uen may publish in the future.
Co-authorship network of co-authors of Wu‐Ching Uen
This figure shows the co-authorship network connecting the top 25 collaborators of Wu‐Ching Uen. A scholar is included among the top collaborators of Wu‐Ching Uen 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 Wu‐Ching Uen. Wu‐Ching Uen 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.