Aihua Song
About
In The Last Decade
Aihua Song
44 papers receiving 1.4k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Aihua Song China | 20 | 294 | 257 | 209 | 179 | 179 | 45 | 1.4k | ||
| Vengadeshprabhu Karuppagounder Japan | 23 | 198 0.7× | 501 1.9× | 96 0.5× | 91 0.5× | 89 0.5× | 53 | 1.5k | ||
| Sun‐Young Nam South Korea | 22 | 232 0.8× | 324 1.3× | 111 0.5× | 98 0.5× | 48 0.3× | 70 | 1.3k | ||
| Hussain Ali Pakistan | 24 | 156 0.5× | 440 1.7× | 89 0.4× | 229 1.3× | 233 1.3× | 43 | 1.7k | ||
| Tse‐Hung Huang Taiwan | 23 | 299 1.0× | 761 3.0× | 115 0.6× | 131 0.7× | 48 0.3× | 83 | 2.2k | ||
| Daniela De Stefano Italy | 24 | 207 0.7× | 410 1.6× | 149 0.7× | 89 0.5× | 53 0.3× | 37 | 1.4k | ||
| Haitao Xiao China | 32 | 313 1.1× | 1.0k 4.0× | 246 1.2× | 114 0.6× | 268 1.5× | 110 | 2.7k | ||
| Paola Palumbo Italy | 22 | 108 0.4× | 477 1.9× | 225 1.1× | 89 0.5× | 72 0.4× | 59 | 1.6k | ||
| Syed Sayeed Ahmad South Korea | 27 | 110 0.4× | 844 3.3× | 128 0.6× | 127 0.7× | 95 0.5× | 86 | 2.0k | ||
| Arun Kumar India | 27 | 116 0.4× | 641 2.5× | 143 0.7× | 318 1.8× | 64 0.4× | 102 | 2.4k | ||
| Ram M. Thushara India | 21 | 115 0.4× | 500 1.9× | 93 0.4× | 124 0.7× | 219 1.2× | 31 | 1.3k |
Countries citing papers authored by Aihua Song
This map shows the geographic impact of Aihua Song'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 Aihua Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aihua Song more than expected).
Fields of papers citing papers by Aihua Song
This network shows the impact of papers produced by Aihua Song. 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 Aihua Song. The network helps show where Aihua Song may publish in the future.
Co-authorship network of co-authors of Aihua Song
This figure shows the co-authorship network connecting the top 25 collaborators of Aihua Song. A scholar is included among the top collaborators of Aihua Song 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 Aihua Song. Aihua Song 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.