Dao-Lai Fang
About
In The Last Decade
Dao-Lai Fang
21 papers receiving 576 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dao-Lai Fang China | 15 | 470 | 313 | 267 | 85 | 82 | 21 | 595 | ||
| Yeon Jun Choi South Korea | 12 | 327 0.7× | 356 1.1× | 195 0.7× | 67 0.8× | 46 0.6× | 26 | 500 | ||
| Li Bao Chen China | 8 | 498 1.1× | 286 0.9× | 217 0.8× | 56 0.7× | 100 1.2× | 9 | 588 | ||
| Xiaofu Tang China | 13 | 460 1.0× | 318 1.0× | 191 0.7× | 50 0.6× | 58 0.7× | 17 | 568 | ||
| Xicheng Gao China | 16 | 538 1.1× | 409 1.3× | 253 0.9× | 147 1.7× | 89 1.1× | 27 | 727 | ||
| RM. Gnanamuthu India | 14 | 442 0.9× | 184 0.6× | 166 0.6× | 60 0.7× | 62 0.8× | 45 | 535 | ||
| Mun Yeong Son South Korea | 10 | 658 1.4× | 397 1.3× | 229 0.9× | 87 1.0× | 74 0.9× | 14 | 761 | ||
| Gopinath Sahoo India | 15 | 379 0.8× | 419 1.3× | 271 1.0× | 31 0.4× | 68 0.8× | 24 | 596 | ||
| Ximan Dong China | 9 | 610 1.3× | 451 1.4× | 234 0.9× | 101 1.2× | 97 1.2× | 12 | 801 | ||
| Willi Peters Germany | 6 | 780 1.7× | 235 0.8× | 359 1.3× | 56 0.7× | 40 0.5× | 7 | 942 | ||
| Meili Qi China | 14 | 334 0.7× | 250 0.8× | 139 0.5× | 35 0.4× | 63 0.8× | 34 | 442 |
Countries citing papers authored by Dao-Lai Fang
This map shows the geographic impact of Dao-Lai 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 Dao-Lai Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dao-Lai Fang more than expected).
Fields of papers citing papers by Dao-Lai Fang
This network shows the impact of papers produced by Dao-Lai 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 Dao-Lai Fang. The network helps show where Dao-Lai Fang may publish in the future.
Co-authorship network of co-authors of Dao-Lai Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Dao-Lai Fang. A scholar is included among the top collaborators of Dao-Lai 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 Dao-Lai Fang. Dao-Lai 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.