Yingwei Lv
About
In The Last Decade
Yingwei Lv
23 papers receiving 490 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yingwei Lv China | 13 | 357 | 218 | 153 | 144 | 121 | 23 | 501 | ||
| Guillaume Zante France | 15 | 673 1.9× | 267 1.2× | 108 0.7× | 315 2.2× | 188 1.6× | 26 | 804 | ||
| Don Ibana Australia | 11 | 370 1.0× | 183 0.8× | 55 0.4× | 92 0.6× | 179 1.5× | 21 | 469 | ||
| Parisa Zaheri Iran | 13 | 301 0.8× | 162 0.7× | 145 0.9× | 70 0.5× | 100 0.8× | 22 | 537 | ||
| Sushanta Kumar Sahu India | 11 | 551 1.5× | 253 1.2× | 105 0.7× | 191 1.3× | 171 1.4× | 17 | 635 | ||
| J. Jandová Czechia | 12 | 441 1.2× | 220 1.0× | 108 0.7× | 144 1.0× | 242 2.0× | 18 | 564 | ||
| Kaiying Wang United States | 9 | 515 1.4× | 188 0.9× | 93 0.6× | 343 2.4× | 149 1.2× | 27 | 758 | ||
| Yaşar Kemal Recepoğlu Türkiye | 14 | 167 0.5× | 198 0.9× | 54 0.4× | 94 0.7× | 87 0.7× | 31 | 516 | ||
| H. Vu Czechia | 10 | 352 1.0× | 161 0.7× | 115 0.8× | 81 0.6× | 222 1.8× | 23 | 535 | ||
| Marino Gergorić Sweden | 6 | 490 1.4× | 264 1.2× | 121 0.8× | 137 1.0× | 93 0.8× | 7 | 546 | ||
| Sandra Pavón Germany | 13 | 360 1.0× | 178 0.8× | 92 0.6× | 119 0.8× | 80 0.7× | 29 | 437 |
Countries citing papers authored by Yingwei Lv
This map shows the geographic impact of Yingwei 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 Yingwei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingwei Lv more than expected).
Fields of papers citing papers by Yingwei Lv
This network shows the impact of papers produced by Yingwei 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 Yingwei Lv. The network helps show where Yingwei Lv may publish in the future.
Co-authorship network of co-authors of Yingwei Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Yingwei Lv. A scholar is included among the top collaborators of Yingwei 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 Yingwei Lv. Yingwei 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.