Fei Da
About
In The Last Decade
Fei Da
39 papers receiving 845 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Fei Da China | 17 | 291 | 218 | 116 | 109 | 103 | 44 | 861 | ||
| Ana G. Cabado Spain | 20 | 710 2.4× | 76 0.3× | 65 0.6× | 72 0.7× | 30 0.3× | 44 | 1.2k | ||
| Maria Mastrodonato Italy | 22 | 391 1.3× | 80 0.4× | 43 0.4× | 101 0.9× | 12 0.1× | 69 | 980 | ||
| Daniel C. Moreira Brazil | 16 | 237 0.8× | 122 0.6× | 60 0.5× | 144 1.3× | 9 0.1× | 52 | 1.1k | ||
| Nikole E. Kimes United States | 17 | 864 3.0× | 183 0.8× | 364 3.1× | 117 1.1× | 38 0.4× | 21 | 1.9k | ||
| John L. Brubacher Canada | 11 | 279 1.0× | 43 0.2× | 22 0.2× | 105 1.0× | 65 0.6× | 14 | 927 | ||
| Josh L. Espinoza United States | 17 | 621 2.1× | 37 0.2× | 20 0.2× | 16 0.1× | 53 0.5× | 30 | 1.1k | ||
| Yang Huang China | 22 | 432 1.5× | 21 0.1× | 29 0.3× | 24 0.2× | 184 1.8× | 103 | 1.3k | ||
| Dan Zhao China | 18 | 1.0k 3.6× | 82 0.4× | 38 0.3× | 50 0.5× | 16 0.2× | 70 | 1.7k | ||
| Aya Watanabe Japan | 21 | 256 0.9× | 43 0.2× | 50 0.4× | 62 0.6× | 68 0.7× | 91 | 1.2k | ||
| Mikio Takahashi Japan | 14 | 260 0.9× | 123 0.6× | 33 0.3× | 38 0.3× | 204 2.0× | 36 | 724 |
Countries citing papers authored by Fei Da
This map shows the geographic impact of Fei Da'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 Fei Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Da more than expected).
Fields of papers citing papers by Fei Da
This network shows the impact of papers produced by Fei Da. 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 Fei Da. The network helps show where Fei Da may publish in the future.
Co-authorship network of co-authors of Fei Da
This figure shows the co-authorship network connecting the top 25 collaborators of Fei Da. A scholar is included among the top collaborators of Fei Da 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 Fei Da. Fei Da 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.