YC Dai
About
In The Last Decade
YC Dai
27 papers receiving 316 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| YC Dai China | 12 | 334 | 202 | 186 | 146 | 61 | 27 | 348 | ||
| Md. Iqbal Hosen China | 9 | 404 1.2× | 189 0.9× | 257 1.4× | 126 0.9× | 140 2.3× | 41 | 434 | ||
| Bart Buyck France | 12 | 395 1.2× | 212 1.0× | 250 1.3× | 151 1.0× | 44 0.7× | 40 | 425 | ||
| Fernando Esteve-Raventós Spain | 9 | 310 0.9× | 119 0.6× | 216 1.2× | 138 0.9× | 66 1.1× | 69 | 344 | ||
| Mario Amalfi Belgium | 13 | 394 1.2× | 253 1.3× | 240 1.3× | 120 0.8× | 122 2.0× | 31 | 433 | ||
| Eugene Yurchenko Germany | 10 | 266 0.8× | 160 0.8× | 161 0.9× | 99 0.7× | 40 0.7× | 35 | 278 | ||
| Masatake Ohmasa Japan | 10 | 310 0.9× | 72 0.4× | 137 0.7× | 199 1.4× | 53 0.9× | 21 | 365 | ||
| Hyun Lee South Korea | 12 | 242 0.7× | 133 0.7× | 158 0.8× | 97 0.7× | 55 0.9× | 24 | 280 | ||
| Clark L. Ovrebo United States | 11 | 312 0.9× | 167 0.8× | 196 1.1× | 87 0.6× | 87 1.4× | 46 | 344 | ||
| Viacheslav Spirin Finland | 14 | 637 1.9× | 393 1.9× | 409 2.2× | 232 1.6× | 113 1.9× | 66 | 676 | ||
| Takashi Shirouzu Japan | 11 | 275 0.8× | 79 0.4× | 259 1.4× | 75 0.5× | 67 1.1× | 14 | 305 |
Countries citing papers authored by YC Dai
This map shows the geographic impact of YC Dai'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 YC Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites YC Dai more than expected).
Fields of papers citing papers by YC Dai
This network shows the impact of papers produced by YC Dai. 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 YC Dai. The network helps show where YC Dai may publish in the future.
Co-authorship network of co-authors of YC Dai
This figure shows the co-authorship network connecting the top 25 collaborators of YC Dai. A scholar is included among the top collaborators of YC Dai 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 YC Dai. YC Dai 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.