Shaoling Fu
About
In The Last Decade
Shaoling Fu
26 papers receiving 372 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Shaoling Fu China | 13 | 144 | 101 | 58 | 55 | 43 | 27 | 387 | ||
| Budi Harsanto Indonesia | 13 | 127 0.9× | 109 1.1× | 33 0.6× | 91 1.7× | 43 1.0× | 54 | 458 | ||
| Manzoor Ul Akram India | 9 | 128 0.9× | 53 0.5× | 31 0.5× | 43 0.8× | 27 0.6× | 11 | 349 | ||
| Gina Lía Orozco Mendoza Colombia | 7 | 145 1.0× | 129 1.3× | 19 0.3× | 18 0.3× | 57 1.3× | 28 | 334 | ||
| Federica Ciccullo Italy | 11 | 395 2.7× | 161 1.6× | 173 3.0× | 23 0.4× | 22 0.5× | 25 | 646 | ||
| Razieh Sadraei United Kingdom | 11 | 81 0.6× | 40 0.4× | 20 0.3× | 44 0.8× | 29 0.7× | 28 | 316 | ||
| Hendrik Reefke United Kingdom | 8 | 437 3.0× | 205 2.0× | 209 3.6× | 20 0.4× | 34 0.8× | 17 | 631 | ||
| Tuula Lehtimäki Finland | 8 | 236 1.6× | 159 1.6× | 25 0.4× | 71 1.3× | 46 1.1× | 17 | 412 | ||
| Cheree Topple Australia | 10 | 272 1.9× | 204 2.0× | 18 0.3× | 40 0.7× | 45 1.0× | 24 | 450 | ||
| María de las Mercedes Capobianco-Uriarte Spain | 7 | 122 0.8× | 122 1.2× | 18 0.3× | 46 0.8× | 77 1.8× | 9 | 483 | ||
| Weimu You United Kingdom | 8 | 172 1.2× | 68 0.7× | 39 0.7× | 15 0.3× | 32 0.7× | 12 | 287 |
Countries citing papers authored by Shaoling Fu
This map shows the geographic impact of Shaoling Fu'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 Shaoling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoling Fu more than expected).
Fields of papers citing papers by Shaoling Fu
This network shows the impact of papers produced by Shaoling Fu. 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 Shaoling Fu. The network helps show where Shaoling Fu may publish in the future.
Co-authorship network of co-authors of Shaoling Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoling Fu. A scholar is included among the top collaborators of Shaoling Fu 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 Shaoling Fu. Shaoling Fu 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.