Xiaolan Lv
About
In The Last Decade
Xiaolan Lv
32 papers receiving 431 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Xiaolan Lv China | 12 | 218 | 78 | 55 | 55 | 51 | 39 | 438 | ||
| Yanfei Guo China | 13 | 66 0.3× | 44 0.6× | 62 1.1× | 10 0.2× | 31 0.6× | 49 | 666 | ||
| F. Javier García-Ramos Spain | 13 | 475 2.2× | 21 0.3× | 89 1.6× | 16 0.3× | 151 3.0× | 42 | 759 | ||
| Xiumin Zhang China | 16 | 59 0.3× | 15 0.2× | 96 1.7× | 56 1.0× | 66 1.3× | 48 | 502 | ||
| Janez Kosel Slovenia | 11 | 60 0.3× | 13 0.2× | 55 1.0× | 36 0.7× | 61 1.2× | 25 | 426 | ||
| Ruihao Zhang China | 12 | 58 0.3× | 78 1.0× | 96 1.7× | 53 1.0× | 122 2.4× | 47 | 490 | ||
| Zongchun Bai China | 10 | 65 0.3× | 60 0.8× | 49 0.9× | 59 1.1× | 50 1.0× | 34 | 325 | ||
| Nataša Lukić Serbia | 10 | 140 0.6× | 17 0.2× | 25 0.5× | 110 2.0× | 110 2.2× | 40 | 365 | ||
| Mingxiong Ou China | 12 | 265 1.2× | 11 0.1× | 51 0.9× | 8 0.1× | 44 0.9× | 51 | 464 | ||
| Zhiyou Niu China | 10 | 93 0.4× | 27 0.3× | 100 1.8× | 84 1.5× | 269 5.3× | 32 | 583 | ||
| Guanghua Yin China | 9 | 94 0.4× | 75 1.0× | 13 0.2× | 33 0.6× | 98 1.9× | 20 | 410 |
Countries citing papers authored by Xiaolan Lv
This map shows the geographic impact of Xiaolan Lv'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 Xiaolan Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Lv more than expected).
Fields of papers citing papers by Xiaolan Lv
This network shows the impact of papers produced by Xiaolan Lv. 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 Xiaolan Lv. The network helps show where Xiaolan Lv may publish in the future.
Co-authorship network of co-authors of Xiaolan Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolan Lv. A scholar is included among the top collaborators of Xiaolan Lv 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 Xiaolan Lv. Xiaolan Lv 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.