Baishan Fang
About
In The Last Decade
Baishan Fang
98 papers receiving 2.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Baishan Fang China | 26 | 1.4k | 631 | 220 | 208 | 190 | 102 | 2.2k | ||
| In‐Won Kim South Korea | 35 | 1.2k 0.9× | 871 1.4× | 266 1.2× | 458 2.2× | 372 2.0× | 89 | 3.3k | ||
| Éric Dubreucq France | 30 | 1.4k 1.0× | 531 0.8× | 146 0.7× | 146 0.7× | 114 0.6× | 97 | 2.6k | ||
| Sandip B. Bankar India | 25 | 1.3k 1.0× | 1.1k 1.7× | 546 2.5× | 239 1.1× | 303 1.6× | 62 | 2.6k | ||
| Georgina Sandoval Mexico | 27 | 1.4k 1.0× | 562 0.9× | 166 0.8× | 211 1.0× | 58 0.3× | 72 | 1.9k | ||
| Dejan Bezbradica Serbia | 25 | 1.4k 1.0× | 497 0.8× | 453 2.1× | 196 0.9× | 115 0.6× | 107 | 2.0k | ||
| Flávio Faria de Moraes Brazil | 23 | 1.0k 0.7× | 579 0.9× | 337 1.5× | 180 0.9× | 173 0.9× | 87 | 1.9k | ||
| Jike Lu China | 26 | 1.3k 0.9× | 740 1.2× | 233 1.1× | 419 2.0× | 421 2.2× | 96 | 2.7k | ||
| Suzana Ferreira‐Dias Portugal | 32 | 1.5k 1.1× | 651 1.0× | 198 0.9× | 265 1.3× | 80 0.4× | 109 | 2.7k | ||
| Lindomar Alberto Lerin Brazil | 22 | 740 0.5× | 334 0.5× | 181 0.8× | 263 1.3× | 85 0.4× | 74 | 1.4k | ||
| Polona Žnidaršič‐Plazl Slovenia | 27 | 838 0.6× | 1.2k 1.9× | 212 1.0× | 145 0.7× | 99 0.5× | 58 | 1.8k |
Countries citing papers authored by Baishan Fang
This map shows the geographic impact of Baishan 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 Baishan Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baishan Fang more than expected).
Fields of papers citing papers by Baishan Fang
This network shows the impact of papers produced by Baishan 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 Baishan Fang. The network helps show where Baishan Fang may publish in the future.
Co-authorship network of co-authors of Baishan Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Baishan Fang. A scholar is included among the top collaborators of Baishan 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 Baishan Fang. Baishan 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.