Hu Dai

17 total papers · 931 total citations
10 papers, 744 citations indexed

About

Hu Dai is a scholar working on Computational Mechanics, Aerospace Engineering and Condensed Matter Physics. According to data from OpenAlex, Hu Dai has authored 10 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 10 papers in Aerospace Engineering and 2 papers in Condensed Matter Physics. Recurrent topics in Hu Dai's work include Biomimetic flight and propulsion mechanisms (8 papers), Lattice Boltzmann Simulation Studies (6 papers) and Fluid Dynamics and Vibration Analysis (4 papers). Hu Dai is often cited by papers focused on Biomimetic flight and propulsion mechanisms (8 papers), Lattice Boltzmann Simulation Studies (6 papers) and Fluid Dynamics and Vibration Analysis (4 papers). Hu Dai collaborates with scholars based in United States, France and China. Hu Dai's co-authors include Haoxiang Luo, James F. Doyle, Fang-Bao Tian, Bernard Rousseau, Bo Yin, Jian Wu, Yuanqing Xu, Duanduan Chen and Jialei Song and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Physics of Fluids.

In The Last Decade

Hu Dai

10 papers receiving 731 citations

Hit Papers

Fluid–structure interacti... 2013 2026 2017 2021 2013 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hu Dai 588 401 94 58 53 10 744
Marcos Vanella 547 0.9× 326 0.8× 53 0.6× 59 1.0× 16 0.3× 24 754
Sheng Xu 552 0.9× 275 0.7× 57 0.6× 53 0.9× 14 0.3× 22 689
Jun Zhang 414 0.7× 289 0.7× 99 1.1× 101 1.7× 80 1.5× 21 731
Siddhartha Verma 268 0.5× 290 0.7× 125 1.3× 51 0.9× 23 0.4× 23 763
Sung Goon Park 585 1.0× 438 1.1× 170 1.8× 115 2.0× 78 1.5× 27 817
J. DELAURIER 205 0.3× 611 1.5× 35 0.4× 32 0.6× 32 0.6× 24 660
R. Ruijsink 137 0.2× 587 1.5× 107 1.1× 77 1.3× 27 0.5× 12 678
Michele Milano 464 0.8× 306 0.8× 10 0.1× 57 1.0× 15 0.3× 20 826
Ming-De Zhou 672 1.1× 374 0.9× 16 0.2× 44 0.8× 22 0.4× 16 845
Arnold Song 263 0.4× 515 1.3× 55 0.6× 58 1.0× 46 0.9× 21 657

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

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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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