Rwei‐Ling Yu
About
In The Last Decade
Rwei‐Ling Yu
37 papers receiving 578 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rwei‐Ling Yu Taiwan | 17 | 325 | 197 | 169 | 64 | 62 | 45 | 584 | ||
| Alfonsina D’Iorio Italy | 17 | 301 0.9× | 191 1.0× | 163 1.0× | 35 0.5× | 89 1.4× | 34 | 615 | ||
| Amin Cervantes‐Arriaga Mexico | 18 | 646 2.0× | 159 0.8× | 105 0.6× | 172 2.7× | 28 0.5× | 112 | 880 | ||
| Stephanie Lessig United States | 16 | 560 1.7× | 233 1.2× | 275 1.6× | 71 1.1× | 63 1.0× | 32 | 811 | ||
| Mekale Kibreab Canada | 12 | 189 0.6× | 161 0.8× | 151 0.9× | 27 0.4× | 80 1.3× | 21 | 448 | ||
| Emmanuel During United States | 13 | 164 0.5× | 211 1.1× | 67 0.4× | 135 2.1× | 121 2.0× | 33 | 440 | ||
| Béatrice Garcin France | 17 | 306 0.9× | 244 1.2× | 290 1.7× | 34 0.5× | 96 1.5× | 48 | 785 | ||
| Karen A. Hames United States | 13 | 221 0.7× | 231 1.2× | 181 1.1× | 35 0.5× | 45 0.7× | 15 | 890 | ||
| Rosanna Palmeri Italy | 12 | 129 0.4× | 100 0.5× | 107 0.6× | 51 0.8× | 24 0.4× | 29 | 379 | ||
| Mariana Fernandes Italy | 14 | 115 0.4× | 169 0.9× | 98 0.6× | 108 1.7× | 107 1.7× | 58 | 491 | ||
| Carlos R. Blanco United States | 12 | 221 0.7× | 231 1.2× | 181 1.1× | 35 0.5× | 45 0.7× | 14 | 878 |
Countries citing papers authored by Rwei‐Ling Yu
This map shows the geographic impact of Rwei‐Ling Yu'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 Rwei‐Ling Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rwei‐Ling Yu more than expected).
Fields of papers citing papers by Rwei‐Ling Yu
This network shows the impact of papers produced by Rwei‐Ling Yu. 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 Rwei‐Ling Yu. The network helps show where Rwei‐Ling Yu may publish in the future.
Co-authorship network of co-authors of Rwei‐Ling Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Rwei‐Ling Yu. A scholar is included among the top collaborators of Rwei‐Ling Yu 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 Rwei‐Ling Yu. Rwei‐Ling Yu 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.