Song Fu

516 total citations
52 papers, 390 citations indexed

About

Song Fu is a scholar working on Electronic, Optical and Magnetic Materials, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Song Fu has authored 52 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electronic, Optical and Magnetic Materials, 16 papers in Computational Mechanics and 12 papers in Aerospace Engineering. Recurrent topics in Song Fu's work include Magnetic Properties of Alloys (17 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Magnetic properties of thin films (11 papers). Song Fu is often cited by papers focused on Magnetic Properties of Alloys (17 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Magnetic properties of thin films (11 papers). Song Fu collaborates with scholars based in China, United Kingdom and Russia. Song Fu's co-authors include Mi Yan, Kang Zhao, Yufei Tang, Jiaying Jin, Jiachun Li, Zhiheng Zhang, Guangbing Han, Rui Gao, Wei Feng and Zhaowei Liu and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and RSC Advances.

In The Last Decade

Song Fu

43 papers receiving 374 citations

Peers

Song Fu
Comparison fields: 5 of 48
  • Electronic, Optical and Magnetic Materials 226
  • Atomic and Molecular Physics, and Optics 133
  • Materials Chemistry 98
  • Computational Mechanics 56
  • Condensed Matter Physics 52
Replace С. А. Шарко with:
С. А. Шарко Russia
F. Ravel France
Masanobu Kobayashi Japan
L.M. Fabietti Argentina
J. Leib United States
Sufian Abedrabbo United States
R. Bensalem Algeria
Meixia Xiao China
Jingzhong Fang China
J.G. Wang China
С. А. Шарко Russia View profile →
Citations per field, relative to Song Fu
Song Fu · 1×
Citations per year, relative to Song Fu
Song Fu · 1×

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).

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.

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 0
5 0
6 2
7 1
8 5
9 9
10 4
11 11
12 13
13 12
14 13
15 1
16
THE INSTABILITY AND CONTROL OF COMPRESSIBLE CROSS FLOWS
0
17
GA Optimization Design of Multi-Element Airfoil
0
18 6
19
Preparation and Characterization of M-type Strontium Ferrite Hollow Fibers
0
20 1

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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