Haoyun Fang
About
In The Last Decade
Haoyun Fang
25 papers receiving 575 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Haoyun Fang Australia | 13 | 429 | 154 | 115 | 89 | 69 | 26 | 575 | ||
| Danni Wu China | 7 | 536 1.2× | 218 1.4× | 96 0.8× | 89 1.0× | 31 0.4× | 19 | 763 | ||
| Nutan Prasain United States | 14 | 454 1.1× | 78 0.5× | 74 0.6× | 99 1.1× | 80 1.2× | 17 | 779 | ||
| Iva Polakovičová Chile | 12 | 391 0.9× | 203 1.3× | 231 2.0× | 71 0.8× | 52 0.8× | 17 | 725 | ||
| José Ignacio Valenzuela Chile | 7 | 602 1.4× | 236 1.5× | 79 0.7× | 75 0.8× | 22 0.3× | 10 | 694 | ||
| Dameng Li China | 10 | 775 1.8× | 561 3.6× | 109 0.9× | 51 0.6× | 49 0.7× | 14 | 908 | ||
| Rochelle Tixeira Australia | 9 | 603 1.4× | 223 1.4× | 301 2.6× | 53 0.6× | 20 0.3× | 12 | 727 | ||
| Raymond Oh United States | 5 | 667 1.6× | 294 1.9× | 101 0.9× | 43 0.5× | 22 0.3× | 6 | 789 | ||
| Wei-Ping Min Canada | 9 | 307 0.7× | 87 0.6× | 221 1.9× | 81 0.9× | 68 1.0× | 10 | 596 | ||
| Emily Meredith United States | 7 | 965 2.2× | 648 4.2× | 86 0.7× | 65 0.7× | 43 0.6× | 8 | 1.1k | ||
| Gábor Petővári Hungary | 12 | 446 1.0× | 247 1.6× | 68 0.6× | 89 1.0× | 16 0.2× | 29 | 590 |
Countries citing papers authored by Haoyun Fang
This map shows the geographic impact of Haoyun Fang'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 Haoyun Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoyun Fang more than expected).
Fields of papers citing papers by Haoyun Fang
This network shows the impact of papers produced by Haoyun Fang. 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 Haoyun Fang. The network helps show where Haoyun Fang may publish in the future.
Co-authorship network of co-authors of Haoyun Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Haoyun Fang. A scholar is included among the top collaborators of Haoyun Fang 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 Haoyun Fang. Haoyun Fang 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.