Huazhen Fang
About
In The Last Decade
Huazhen Fang
94 papers receiving 2.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Huazhen Fang United States | 27 | 1.2k | 1.0k | 991 | 358 | 313 | 100 | 2.4k | ||
| Akshya Swain New Zealand | 28 | 1.1k 1.0× | 427 0.4× | 1.3k 1.4× | 237 0.7× | 297 0.9× | 195 | 2.7k | ||
| Navid Vafamand Iran | 30 | 2.2k 1.9× | 383 0.4× | 1.7k 1.7× | 258 0.7× | 295 0.9× | 113 | 2.9k | ||
| Sébastien Gros Sweden | 28 | 1.6k 1.4× | 439 0.4× | 655 0.7× | 275 0.8× | 92 0.3× | 176 | 2.7k | ||
| Datong Liu China | 34 | 1.9k 1.6× | 2.1k 2.1× | 1.7k 1.8× | 829 2.3× | 170 0.5× | 171 | 4.2k | ||
| Ahmed El Hajjaji France | 26 | 2.0k 1.7× | 638 0.6× | 540 0.5× | 401 1.1× | 385 1.2× | 221 | 2.8k | ||
| Matthew Daigle United States | 22 | 1.1k 1.0× | 457 0.5× | 271 0.3× | 338 0.9× | 93 0.3× | 91 | 1.8k | ||
| Dezhi Xu China | 29 | 2.1k 1.8× | 301 0.3× | 887 0.9× | 177 0.5× | 326 1.0× | 167 | 2.6k | ||
| Leehter Yao Taiwan | 19 | 444 0.4× | 323 0.3× | 894 0.9× | 219 0.6× | 95 0.3× | 88 | 1.6k | ||
| S. Weiland Netherlands | 24 | 2.0k 1.7× | 272 0.3× | 457 0.5× | 131 0.4× | 154 0.5× | 214 | 3.0k | ||
| Mohammad Mehdi Arefi Iran | 29 | 2.0k 1.7× | 143 0.1× | 590 0.6× | 258 0.7× | 521 1.7× | 130 | 2.6k |
Countries citing papers authored by Huazhen Fang
This map shows the geographic impact of Huazhen 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 Huazhen Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huazhen Fang more than expected).
Fields of papers citing papers by Huazhen Fang
This network shows the impact of papers produced by Huazhen 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 Huazhen Fang. The network helps show where Huazhen Fang may publish in the future.
Co-authorship network of co-authors of Huazhen Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Huazhen Fang. A scholar is included among the top collaborators of Huazhen 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 Huazhen Fang. Huazhen 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.