Kehua Que
About
In The Last Decade
Kehua Que
30 papers receiving 604 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kehua Que China | 13 | 424 | 251 | 161 | 114 | 77 | 31 | 626 | ||
| Melissa Thiemi Kato Brazil | 19 | 1.0k 2.4× | 415 1.7× | 499 3.1× | 26 0.2× | 58 0.8× | 34 | 1.3k | ||
| Maria Amália Gonzaga Ribeiro Brazil | 14 | 50 0.1× | 140 0.6× | 30 0.2× | 51 0.4× | 33 0.4× | 30 | 607 | ||
| Sami Dogan United States | 11 | 305 0.7× | 211 0.8× | 84 0.5× | 96 0.8× | 27 0.4× | 20 | 471 | ||
| Hermes Pretel Brazil | 11 | 244 0.6× | 282 1.1× | 100 0.6× | 45 0.4× | 18 0.2× | 28 | 479 | ||
| Thaiane Rodrigues Aguiar Brazil | 16 | 843 2.0× | 517 2.1× | 88 0.5× | 80 0.7× | 23 0.3× | 32 | 997 | ||
| Renato Herman Sundfeld Brazil | 19 | 955 2.3× | 525 2.1× | 157 1.0× | 27 0.2× | 32 0.4× | 72 | 1.0k | ||
| Marcela Letícia Leal Gonçalves Brazil | 14 | 102 0.2× | 123 0.5× | 133 0.8× | 83 0.7× | 29 0.4× | 73 | 537 | ||
| Carina Strano Castellan Brazil | 10 | 907 2.1× | 468 1.9× | 118 0.7× | 58 0.5× | 12 0.2× | 15 | 996 | ||
| Elif Aydoğan Ayaz Türkiye | 12 | 379 0.9× | 202 0.8× | 32 0.2× | 48 0.4× | 64 0.8× | 23 | 557 | ||
| Kyung-Hyeon Yoo South Korea | 12 | 247 0.6× | 138 0.5× | 41 0.3× | 142 1.2× | 14 0.2× | 25 | 410 |
Countries citing papers authored by Kehua Que
This map shows the geographic impact of Kehua Que'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 Kehua Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kehua Que more than expected).
Fields of papers citing papers by Kehua Que
This network shows the impact of papers produced by Kehua Que. 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 Kehua Que. The network helps show where Kehua Que may publish in the future.
Co-authorship network of co-authors of Kehua Que
This figure shows the co-authorship network connecting the top 25 collaborators of Kehua Que. A scholar is included among the top collaborators of Kehua Que 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 Kehua Que. Kehua Que 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.