Shu–Fen Wu
About
In The Last Decade
Shu–Fen Wu
30 papers receiving 878 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Shu–Fen Wu Taiwan | 13 | 343 | 265 | 238 | 217 | 134 | 31 | 906 | ||
| F. Ancarani Italy | 13 | 419 1.2× | 182 0.7× | 313 1.3× | 39 0.2× | 25 0.2× | 21 | 750 | ||
| Lily G. Carlin United States | 14 | 55 0.2× | 84 0.3× | 326 1.4× | 155 0.7× | 61 0.5× | 19 | 710 | ||
| Sean Fitzwater United States | 15 | 379 1.1× | 29 0.1× | 227 1.0× | 74 0.3× | 34 0.3× | 19 | 768 | ||
| Kathryn P. Haley United States | 15 | 228 0.7× | 26 0.1× | 310 1.3× | 108 0.5× | 128 1.0× | 21 | 1.0k | ||
| Preeti Mehta India | 14 | 247 0.7× | 57 0.2× | 271 1.1× | 65 0.3× | 74 0.6× | 61 | 576 | ||
| A. Ferrieri Italy | 15 | 328 1.0× | 205 0.8× | 75 0.3× | 93 0.4× | 425 3.2× | 25 | 811 | ||
| Yalda Lucero Chile | 17 | 87 0.3× | 67 0.3× | 307 1.3× | 26 0.1× | 292 2.2× | 46 | 741 | ||
| Qing Cao China | 14 | 399 1.2× | 156 0.6× | 127 0.5× | 40 0.2× | 60 0.4× | 54 | 670 | ||
| Ibrahim M. Sayed Egypt | 22 | 217 0.6× | 848 3.2× | 653 2.7× | 36 0.2× | 80 0.6× | 69 | 1.5k | ||
| Wenxiang Huang China | 15 | 291 0.8× | 87 0.3× | 311 1.3× | 100 0.5× | 32 0.2× | 51 | 812 |
Countries citing papers authored by Shu–Fen Wu
This map shows the geographic impact of Shu–Fen 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 Shu–Fen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu–Fen Wu more than expected).
Fields of papers citing papers by Shu–Fen Wu
This network shows the impact of papers produced by Shu–Fen 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 Shu–Fen Wu. The network helps show where Shu–Fen Wu may publish in the future.
Co-authorship network of co-authors of Shu–Fen Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shu–Fen Wu. A scholar is included among the top collaborators of Shu–Fen 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 Shu–Fen Wu. Shu–Fen 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.