Dexun Fu

1.0k citations
31 papers · 802 · h-index 16

Impact in

Papers in

    • Fluid Dynamics and Turbulent Flows 25
    • Computational Fluid Dynamics and Aerodynamics 25
    • Advanced Numerical Methods in Computational Mathematics 3
    • Aerodynamics and Acoustics in Jet Flows 8

Dexun Fu

29 papers receiving 772 citations

Peers

Dexun Fu
Comparison fields: 5 of 45
  • Computational Mechanics 766
  • Applied Mathematics 133
  • Aerospace Engineering 275
  • Environmental Engineering 86
  • Numerical Analysis 26
Replace Santhosh Shankar with:
Santhosh Shankar United States
Sudipta De India
Igor Men’shov Russia
Andrew Mosedale United States
J. Falcovitz Israel
Robert H. Nichols United States
A. F. Messiter United States
D. J. Hill United States
Thorwald Herbert United States
Samuel Kokh France
Dexun Fu relative to Santhosh Shankar United States Santhosh Shankar's profile →
Citations per field
00.5×1.5×2.5×
Santhosh Shankar · 1×
Citations per year

Countries citing papers authored by Dexun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Dexun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Dexun Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dexun Fu Line = papers co-authored together Dexun Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010127
2 200892
3 199789
4 201075
5 201055
6 200939
7 200535
8 200634
9 199930
10 200924
11 200122
12 200620
13 200819
14 200217
15 200017
16 201117
17 200813
18 200113
19 200711
20 201210

About Dexun Fu

Dexun Fu is a scholar working on Computational Mechanics, Aerospace Engineering, Applied Mathematics, Atomic and Molecular Physics, and Optics and Atmospheric Science, having authored 31 papers that have together received 802 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (25 papers), Computational Fluid Dynamics and Aerodynamics (25 papers), Aerodynamics and Acoustics in Jet Flows (8 papers), Gas Dynamics and Kinetic Theory (5 papers), Wind and Air Flow Studies (3 papers), Laser-Plasma Interactions and Diagnostics (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Computational Mechanics (766 citations), Applied Mathematics (133 citations), Aerospace Engineering (275 citations), Environmental Engineering (86 citations) and Numerical Analysis (26 citations). Dexun Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include Yanwen Ma, Xinliang Li, Xian Liang, Hui Gao, Baolin Tian, N. Taniguchi, Tessei Kobayashi, Linbo Zhang, Zhiwei He and Yan Leng. Their work appears in journals such as Chinese Physics Letters, International Journal for Numerical Methods in Fluids, Science China Physics Mechanics and Astronomy, Acta Mechanica Sinica and Physics of Fluids.

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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