Song Fu

217 papers and 2.7k indexed citations i.

About

Song Fu is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Song Fu has authored 217 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Computational Mechanics, 80 papers in Aerospace Engineering and 34 papers in Environmental Engineering. Recurrent topics in Song Fu’s work include Fluid Dynamics and Turbulent Flows (132 papers), Computational Fluid Dynamics and Aerodynamics (91 papers) and Wind and Air Flow Studies (34 papers). Song Fu is often cited by papers focused on Fluid Dynamics and Turbulent Flows (132 papers), Computational Fluid Dynamics and Aerodynamics (91 papers) and Wind and Air Flow Studies (34 papers). Song Fu collaborates with scholars based in China, United States and Hong Kong. Song Fu's co-authors include Qibing Li, Zhixiang Xiao, Liang Wang, Haixin Chen, Jie Ren, Yufei Zhang, Zhiqiang Zhai, Kun Xu, Jingbo Huang and Jian Liu and has published in prestigious journals such as ACS Nano, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Song Fu i

Fields of papers citing papers by Song Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Fu. 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 Song Fu. The network helps show where Song Fu may publish in the future.

Countries citing papers authored by Song Fu

Since Specialization
Citations

This map shows the geographic impact of Song Fu'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 Song Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Fu more than expected).

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.

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2025