Fangyin Dai
About
In The Last Decade
Fangyin Dai
236 papers receiving 5.9k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Fangyin Dai China | 41 | 1.9k | 1.9k | 1.1k | 955 | 656 | 248 | 6.0k | ||
| Ping Zhao China | 35 | 2.0k 1.1× | 1.2k 0.6× | 506 0.4× | 762 0.8× | 285 0.4× | 171 | 3.8k | ||
| Dafu Chen China | 40 | 1.7k 0.9× | 1.3k 0.7× | 3.0k 2.6× | 360 0.4× | 246 0.4× | 202 | 6.6k | ||
| Moon Suk Kim South Korea | 50 | 2.8k 1.5× | 1.3k 0.7× | 2.4k 2.1× | 250 0.3× | 183 0.3× | 233 | 7.1k | ||
| Xin Dong Guo China | 44 | 1.4k 0.7× | 1.9k 1.0× | 1.2k 1.0× | 331 0.3× | 160 0.2× | 150 | 6.5k | ||
| Keiji Numata Japan | 52 | 5.4k 2.9× | 3.8k 2.0× | 1.7k 1.4× | 533 0.6× | 366 0.6× | 258 | 8.7k | ||
| Xiao Hu United States | 50 | 7.9k 4.2× | 2.2k 1.2× | 3.0k 2.6× | 723 0.8× | 426 0.6× | 141 | 10.2k | ||
| Yongzhong Wang China | 38 | 2.9k 1.5× | 2.2k 1.2× | 1.5k 1.3× | 205 0.2× | 208 0.3× | 171 | 6.4k | ||
| Di Wen China | 38 | 901 0.5× | 2.0k 1.1× | 2.0k 1.8× | 318 0.3× | 423 0.6× | 75 | 5.8k | ||
| Mahmoud Rouabhia Canada | 46 | 1.2k 0.7× | 1.7k 0.9× | 1.6k 1.4× | 169 0.2× | 109 0.2× | 210 | 7.2k | ||
| Xiaoqin Wang China | 39 | 6.2k 3.3× | 1.7k 0.9× | 3.1k 2.7× | 394 0.4× | 152 0.2× | 136 | 8.7k |
Countries citing papers authored by Fangyin Dai
This map shows the geographic impact of Fangyin 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 Fangyin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangyin Dai more than expected).
Fields of papers citing papers by Fangyin Dai
This network shows the impact of papers produced by Fangyin 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 Fangyin Dai. The network helps show where Fangyin Dai may publish in the future.
Co-authorship network of co-authors of Fangyin Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Fangyin Dai. A scholar is included among the top collaborators of Fangyin 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 Fangyin Dai. Fangyin 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.