Ku‐Hao Fang
About
In The Last Decade
Ku‐Hao Fang
49 papers receiving 685 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ku‐Hao Fang Taiwan | 15 | 344 | 297 | 278 | 116 | 93 | 51 | 693 | ||
| Mitsuhiko Nakahira Japan | 15 | 237 0.7× | 220 0.7× | 172 0.6× | 140 1.2× | 72 0.8× | 61 | 607 | ||
| Martina A. Broglie Switzerland | 18 | 339 1.0× | 578 1.9× | 549 2.0× | 168 1.4× | 91 1.0× | 76 | 905 | ||
| J. Kenneth Byrd United States | 16 | 328 1.0× | 488 1.6× | 541 1.9× | 263 2.3× | 128 1.4× | 45 | 1.0k | ||
| Tomoyuki Kamijo Japan | 16 | 320 0.9× | 205 0.7× | 320 1.2× | 243 2.1× | 181 1.9× | 51 | 764 | ||
| É. Reyt France | 15 | 162 0.5× | 267 0.9× | 403 1.4× | 147 1.3× | 95 1.0× | 81 | 712 | ||
| Gideon Marshak Israel | 14 | 227 0.7× | 289 1.0× | 296 1.1× | 162 1.4× | 44 0.5× | 24 | 575 | ||
| Andrew B. Tassler United States | 12 | 212 0.6× | 191 0.6× | 232 0.8× | 127 1.1× | 48 0.5× | 29 | 518 | ||
| Min‐Sik Kim South Korea | 21 | 317 0.9× | 564 1.9× | 678 2.4× | 269 2.3× | 144 1.5× | 68 | 1.2k | ||
| Martin Granados‐García Mexico | 11 | 126 0.4× | 118 0.4× | 253 0.9× | 135 1.2× | 84 0.9× | 44 | 550 | ||
| Chung‐Hwan Baek South Korea | 18 | 225 0.7× | 198 0.7× | 510 1.8× | 139 1.2× | 60 0.6× | 30 | 861 |
Countries citing papers authored by Ku‐Hao Fang
This map shows the geographic impact of Ku‐Hao Fang'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 Ku‐Hao Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ku‐Hao Fang more than expected).
Fields of papers citing papers by Ku‐Hao Fang
This network shows the impact of papers produced by Ku‐Hao Fang. 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 Ku‐Hao Fang. The network helps show where Ku‐Hao Fang may publish in the future.
Co-authorship network of co-authors of Ku‐Hao Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Ku‐Hao Fang. A scholar is included among the top collaborators of Ku‐Hao Fang 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 Ku‐Hao Fang. Ku‐Hao Fang 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.