Wen-Hu Wen
About
In The Last Decade
Wen-Hu Wen
12 papers receiving 991 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wen-Hu Wen Canada | 7 | 689 | 363 | 210 | 153 | 116 | 12 | 1.0k | ||
| Luyi Sen United States | 19 | 779 1.1× | 548 1.5× | 75 0.4× | 174 1.1× | 55 0.5× | 37 | 1.2k | ||
| Anna‐Pia Papageorgiou Belgium | 16 | 279 0.4× | 379 1.0× | 199 0.9× | 114 0.7× | 32 0.3× | 28 | 933 | ||
| Sahohime Matsumoto Japan | 8 | 280 0.4× | 402 1.1× | 93 0.4× | 152 1.0× | 34 0.3× | 13 | 717 | ||
| Mitsuo Iwatate Japan | 13 | 600 0.9× | 575 1.6× | 82 0.4× | 56 0.4× | 136 1.2× | 18 | 959 | ||
| Paolo Carai Netherlands | 16 | 392 0.6× | 461 1.3× | 155 0.7× | 147 1.0× | 27 0.2× | 36 | 889 | ||
| Damir Hamamdzic United States | 17 | 148 0.2× | 256 0.7× | 173 0.8× | 385 2.5× | 58 0.5× | 21 | 894 | ||
| Caroline Métais United States | 13 | 125 0.2× | 308 0.8× | 121 0.6× | 165 1.1× | 135 1.2× | 17 | 749 | ||
| Polakit Teekakirikul United States | 12 | 658 1.0× | 393 1.1× | 41 0.2× | 92 0.6× | 32 0.3× | 19 | 926 | ||
| Sherri C. Wood United States | 17 | 100 0.1× | 265 0.7× | 404 1.9× | 157 1.0× | 52 0.4× | 27 | 964 | ||
| Suman Dalal United States | 14 | 180 0.3× | 272 0.7× | 58 0.3× | 69 0.5× | 62 0.5× | 26 | 544 |
Countries citing papers authored by Wen-Hu Wen
This map shows the geographic impact of Wen-Hu Wen'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 Wen-Hu Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Hu Wen more than expected).
Fields of papers citing papers by Wen-Hu Wen
This network shows the impact of papers produced by Wen-Hu Wen. 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 Wen-Hu Wen. The network helps show where Wen-Hu Wen may publish in the future.
Co-authorship network of co-authors of Wen-Hu Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Hu Wen. A scholar is included among the top collaborators of Wen-Hu Wen 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 Wen-Hu Wen. Wen-Hu Wen 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.