Taiyong Quan
About
In The Last Decade
Taiyong Quan
14 papers receiving 517 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Taiyong Quan China | 12 | 464 | 193 | 27 | 23 | 23 | 14 | 523 | ||
| M. A. Baset Mia Bangladesh | 12 | 466 1.0× | 87 0.5× | 21 0.8× | 61 2.7× | 11 0.5× | 34 | 545 | ||
| Christine Bissuel-Bélaygue France | 8 | 265 0.6× | 114 0.6× | 11 0.4× | 57 2.5× | 9 0.4× | 11 | 320 | ||
| H. C. Dube India | 9 | 240 0.5× | 76 0.4× | 16 0.6× | 10 0.4× | 13 0.6× | 27 | 334 | ||
| José Francismar de Medeiros Brazil | 11 | 353 0.8× | 46 0.2× | 19 0.7× | 30 1.3× | 10 0.4× | 77 | 434 | ||
| Nkulu Rolly Kabange South Korea | 12 | 322 0.7× | 84 0.4× | 8 0.3× | 10 0.4× | 46 2.0× | 35 | 391 | ||
| Muhammad Rizwan Pakistan | 12 | 477 1.0× | 86 0.4× | 7 0.3× | 85 3.7× | 23 1.0× | 56 | 556 | ||
| E. Lupotto Italy | 13 | 327 0.7× | 203 1.1× | 10 0.4× | 18 0.8× | 44 1.9× | 21 | 452 | ||
| Youssef Trifa Tunisia | 12 | 306 0.7× | 93 0.5× | 8 0.3× | 96 4.2× | 21 0.9× | 29 | 362 | ||
| Michael J. Gosney United States | 6 | 377 0.8× | 156 0.8× | 25 0.9× | 20 0.9× | 19 0.8× | 9 | 424 | ||
| A. Abruzzese Italy | 10 | 235 0.5× | 125 0.6× | 4 0.1× | 10 0.4× | 18 0.8× | 18 | 308 |
Countries citing papers authored by Taiyong Quan
This map shows the geographic impact of Taiyong Quan'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 Taiyong Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiyong Quan more than expected).
Fields of papers citing papers by Taiyong Quan
This network shows the impact of papers produced by Taiyong Quan. 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 Taiyong Quan. The network helps show where Taiyong Quan may publish in the future.
Co-authorship network of co-authors of Taiyong Quan
This figure shows the co-authorship network connecting the top 25 collaborators of Taiyong Quan. A scholar is included among the top collaborators of Taiyong Quan 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 Taiyong Quan. Taiyong Quan 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.