Hu Dai

937 citations
10 papers · 749 indexed · 1 hit paper · h-index 7
Topics
Biomimetic flight and propulsion mechanisms (8 papers)Lattice Boltzmann Simulation Studies (6 papers)Fluid Dynamics and Turbulent Flows (4 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Hu Dai

10 papers receiving 736 citations

Hit Papers

Fluid–structure interaction involving large deformations:...20132026201720212013100200300

Peers

Hu Dai
Comparison fields: 5 of 53
  • Computational Mechanics 591
  • Aerospace Engineering 405
  • Condensed Matter Physics 96
  • Biomedical Engineering 58
  • Control and Systems Engineering 53
Replace Kim Boon Lua with:
Kim Boon Lua Singapore
Soo Jai Shin South Korea
Sung Goon Park South Korea
Muhammad Saif Ullah Khalid Canada
Mustafa Perçin Netherlands
Shuanghou Deng China
Satish Kumar Chimakurthi United States
Moble Benedict United States
Thierry Jardin France
Hu Dai relative to Kim Boon Lua Singapore Kim Boon Lua's profile →
Citations per field
00.5×1.5×
Kim Boon Lua · 1×
Citations per year

Countries citing papers authored by Hu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Dai. A scholar is included among the top collaborators of Hu Dai 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 Hu Dai. Hu Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Fluid–structure interaction involving large deformations: 3D simulations and applications to biological systemsbreakdown →
317
2 1
3 4
4 79
5 135
6 7
7 56
8 127
9 21
10
A hybrid formulation to suppress the numerical oscillations caused by immersed moving boundaries
2

About Hu Dai

Hu Dai is a scholar working on Computational Mechanics, Aerospace Engineering and Condensed Matter Physics, having authored 10 papers that have together received 749 indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (8 papers), Lattice Boltzmann Simulation Studies (6 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Computational Mechanics (591 citations), Aerospace Engineering (405 citations) and Condensed Matter Physics (96 citations). Hu Dai has collaborated with scholars based in United States, China and France. Frequent co-authors include Haoxiang Luo, James F. Doyle, Fang-Bao Tian, Bernard Rousseau, Bo Yin, Jian Wu, Duanduan Chen, Yuanqing Xu and Jialei Song. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computational Physics 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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