Wai-Hong Wu
About
In The Last Decade
Wai-Hong Wu
8 papers receiving 570 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wai-Hong Wu United States | 7 | 363 | 356 | 263 | 226 | 92 | 8 | 586 | ||
| C. Prusas Germany | 11 | 307 0.8× | 265 0.7× | 325 1.2× | 182 0.8× | 54 0.6× | 19 | 516 | ||
| A. Doster United States | 10 | 532 1.5× | 542 1.5× | 452 1.7× | 147 0.7× | 87 0.9× | 10 | 757 | ||
| Lisbeth Fuxler Sweden | 12 | 193 0.5× | 271 0.8× | 145 0.6× | 67 0.3× | 55 0.6× | 15 | 465 | ||
| Min‐Yuan Chia Taiwan | 17 | 416 1.1× | 406 1.1× | 247 0.9× | 76 0.3× | 150 1.6× | 39 | 716 | ||
| Bernt Hjertner Sweden | 12 | 124 0.3× | 176 0.5× | 137 0.5× | 143 0.6× | 146 1.6× | 26 | 433 | ||
| Philip C. Gauger United States | 8 | 666 1.8× | 685 1.9× | 402 1.5× | 238 1.1× | 237 2.6× | 10 | 913 | ||
| E. Espuña Spain | 9 | 249 0.7× | 286 0.8× | 168 0.6× | 154 0.7× | 94 1.0× | 10 | 476 | ||
| Shijuan Dong China | 14 | 285 0.8× | 208 0.6× | 133 0.5× | 54 0.2× | 29 0.3× | 36 | 496 | ||
| Ana Marek Austria | 13 | 554 1.5× | 494 1.4× | 620 2.4× | 134 0.6× | 61 0.7× | 16 | 881 | ||
| Patricia Renson France | 16 | 411 1.1× | 420 1.2× | 217 0.8× | 38 0.2× | 154 1.7× | 30 | 579 |
Countries citing papers authored by Wai-Hong Wu
This map shows the geographic impact of Wai-Hong 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 Wai-Hong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai-Hong Wu more than expected).
Fields of papers citing papers by Wai-Hong Wu
This network shows the impact of papers produced by Wai-Hong 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 Wai-Hong Wu. The network helps show where Wai-Hong Wu may publish in the future.
Co-authorship network of co-authors of Wai-Hong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Wai-Hong Wu. A scholar is included among the top collaborators of Wai-Hong 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 Wai-Hong Wu. Wai-Hong 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.