Haikuan Yuan
About
In The Last Decade
Haikuan Yuan
47 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Haikuan Yuan China | 20 | 493 | 449 | 398 | 206 | 204 | 49 | 1.1k | ||
| Zuoxiang Zeng China | 17 | 358 0.7× | 318 0.7× | 376 0.9× | 220 1.1× | 292 1.4× | 126 | 1.2k | ||
| Ai He China | 15 | 388 0.8× | 630 1.4× | 529 1.3× | 171 0.8× | 160 0.8× | 27 | 1.3k | ||
| Junfu Wei China | 21 | 232 0.5× | 529 1.2× | 420 1.1× | 114 0.6× | 147 0.7× | 42 | 1.2k | ||
| Aleksandra B. Nastasović Serbia | 18 | 228 0.5× | 397 0.9× | 210 0.5× | 249 1.2× | 268 1.3× | 64 | 1.2k | ||
| Mostafa Hossein Beyki Iran | 21 | 350 0.7× | 680 1.5× | 241 0.6× | 143 0.7× | 451 2.2× | 64 | 1.3k | ||
| Fuqiang An China | 22 | 364 0.7× | 672 1.5× | 220 0.6× | 281 1.4× | 225 1.1× | 48 | 1.4k | ||
| Ping Tan China | 12 | 421 0.9× | 758 1.7× | 388 1.0× | 192 0.9× | 359 1.8× | 20 | 1.2k | ||
| Inês Matos Portugal | 22 | 462 0.9× | 365 0.8× | 195 0.5× | 161 0.8× | 377 1.8× | 73 | 1.3k | ||
| Maryse Bacquet France | 23 | 362 0.7× | 655 1.5× | 186 0.5× | 192 0.9× | 349 1.7× | 62 | 1.4k | ||
| Fuangfa Unob Thailand | 17 | 382 0.8× | 585 1.3× | 242 0.6× | 181 0.9× | 257 1.3× | 30 | 1.3k |
Countries citing papers authored by Haikuan Yuan
This map shows the geographic impact of Haikuan Yuan'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 Haikuan Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haikuan Yuan more than expected).
Fields of papers citing papers by Haikuan Yuan
This network shows the impact of papers produced by Haikuan Yuan. 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 Haikuan Yuan. The network helps show where Haikuan Yuan may publish in the future.
Co-authorship network of co-authors of Haikuan Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Haikuan Yuan. A scholar is included among the top collaborators of Haikuan Yuan 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 Haikuan Yuan. Haikuan Yuan 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.