Huey‐Nan Wu
About
In The Last Decade
Huey‐Nan Wu
38 papers receiving 1.4k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Huey‐Nan Wu Taiwan | 22 | 713 | 378 | 362 | 333 | 325 | 38 | 1.4k | ||
| Eric Ferrari United States | 13 | 470 0.7× | 864 2.3× | 492 1.4× | 82 0.2× | 581 1.8× | 17 | 1.4k | ||
| Kevin Whitby United Kingdom | 14 | 348 0.5× | 423 1.1× | 775 2.1× | 484 1.5× | 529 1.6× | 20 | 1.7k | ||
| Rainer Ziermann United States | 20 | 341 0.5× | 221 0.6× | 430 1.2× | 53 0.2× | 239 0.7× | 31 | 1.0k | ||
| Peter Skewes-Cox United States | 14 | 530 0.7× | 65 0.2× | 343 0.9× | 89 0.3× | 346 1.1× | 20 | 1.4k | ||
| Isabelle Imbert France | 19 | 869 1.2× | 215 0.6× | 2.1k 5.8× | 77 0.2× | 304 0.9× | 32 | 3.0k | ||
| B. Wolanski United States | 15 | 478 0.7× | 304 0.8× | 402 1.1× | 42 0.1× | 399 1.2× | 25 | 1.1k | ||
| Musaddeq Hussain United States | 14 | 619 0.9× | 279 0.7× | 151 0.4× | 57 0.2× | 283 0.9× | 25 | 1.2k | ||
| Eliana G. Acosta Germany | 17 | 259 0.4× | 140 0.4× | 698 1.9× | 1.0k 3.0× | 287 0.9× | 18 | 1.5k | ||
| Nagraj Mani United States | 18 | 534 0.7× | 199 0.5× | 588 1.6× | 42 0.1× | 309 1.0× | 36 | 1.3k | ||
| Francesc Puig‐Basagoiti Spain | 18 | 168 0.2× | 254 0.7× | 371 1.0× | 480 1.4× | 277 0.9× | 22 | 1.1k |
Countries citing papers authored by Huey‐Nan Wu
This map shows the geographic impact of Huey‐Nan 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 Huey‐Nan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huey‐Nan Wu more than expected).
Fields of papers citing papers by Huey‐Nan Wu
This network shows the impact of papers produced by Huey‐Nan 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 Huey‐Nan Wu. The network helps show where Huey‐Nan Wu may publish in the future.
Co-authorship network of co-authors of Huey‐Nan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Huey‐Nan Wu. A scholar is included among the top collaborators of Huey‐Nan 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 Huey‐Nan Wu. Huey‐Nan 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.