Song Fu
- Computational Mechanics top 0.2%
- Aerospace Engineering top 0.5%
- Mechanical Engineering top 5%
- Environmental Engineering top 2%
- Applied Mathematics top 1%
- Co-authors
- Qibing LiHaixin ChenZhixiang XiaoLiang WangJie RenYufei ZhangZhiqiang ZhaiKun Xu
- Topics
- Fluid Dynamics and Turbulent Flows (149 papers)Computational Fluid Dynamics and Aerodynamics (101 papers)Wind and Air Flow Studies (36 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoJournal of Fluid Mechanics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Song Fu
236 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 104
- Computational Mechanics 2.6k
- Aerospace Engineering 1.5k
- Mechanical Engineering 643
- Environmental Engineering 573
- Applied Mathematics 468
Countries citing papers authored by Song Fu
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).
Fields of papers citing papers by Song Fu
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.
Co-authorship network of co-authors of Song Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Song Fu. A scholar is included among the top collaborators of Song Fu 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 Song Fu. Song Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | Evaluating the Performance of p16INK4a Immunocytochemistry in Cervical Cancer Screening | 1 |
| 10 | 8 | |
| 11 | 84 | |
| 12 | System Simulation of Price & Advertising Combined Game | 2 |
| 13 | Morphological characteristics and functional significance of lumbosacral multifidus muscle | 1 |
| 14 | Numerical simulation of the initial stage flowfields for the stage separation of the multi-stage rocket | 1 |
| 15 | A Primary Study of Transitions in Turbulence Models | 1 |
| 16 | Nosocomial Infection Caused by Pseudomonas aeruginosa | 1 |
| 17 | 1 | |
| 18 | Modeling and simulation of bed temperature control of circulating fluidized bed boiler | 6 |
| 19 | J2EE-based Distributed WfMS Scheme | 0 |
| 20 | Numerical simulation of flow past two cylinders in tandem arrangement | 3 |
About Song Fu
Song Fu is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics, having authored 245 papers that have together received 3.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (149 papers), Computational Fluid Dynamics and Aerodynamics (101 papers) and Wind and Air Flow Studies (36 papers). The work is most often cited by research in Computational Mechanics (2.6k citations), Aerospace Engineering (1.5k citations) and Applied Mathematics (468 citations). Song Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qibing Li, Haixin Chen, Zhixiang Xiao, Liang Wang, Jie Ren, Yufei Zhang, Zhiqiang Zhai, Kun Xu, Jian Liu and Jingbo Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Fluid Mechanics.
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.