Zihuan Dai

442 total citations
22 papers, 299 citations indexed

About

Zihuan Dai is a scholar working on Computational Mechanics, Nuclear and High Energy Physics and Mechanics of Materials. According to data from OpenAlex, Zihuan Dai has authored 22 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 9 papers in Nuclear and High Energy Physics and 5 papers in Mechanics of Materials. Recurrent topics in Zihuan Dai's work include Computational Fluid Dynamics and Aerodynamics (10 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Laser-Plasma Interactions and Diagnostics (9 papers). Zihuan Dai is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (10 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Laser-Plasma Interactions and Diagnostics (9 papers). Zihuan Dai collaborates with scholars based in China and Taiwan. Zihuan Dai's co-authors include Tong Zhang, Jiming Wu, Zhiming Gao, Guangwei Yuan, Xinlong Feng, Xufeng Xiao, Yang Zhang, Li Yin, Ning Ding and Chuang Xue and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

Zihuan Dai

22 papers receiving 267 citations

Peers

Zihuan Dai
Comparison fields: 5 of 31
  • Computational Mechanics 194
  • Applied Mathematics 82
  • Nuclear and High Energy Physics 82
  • Mathematical Physics 57
  • Numerical Analysis 54
Replace Fabrice Deluzet with:
Fabrice Deluzet France
Marie-Hélène Vignal France
J. Haack United States
Martin Campos Pinto France
Anne Nouri France
Munetake SATO Japan
Jacques Blum France
Е. В. Чижонков Russia
Stéphane Brull France
Simon Labrunie France
Fabrice Deluzet France View profile →
Citations per field, relative to Zihuan Dai
Zihuan Dai · 1×
Citations per year, relative to Zihuan Dai
Zihuan Dai · 1×

Countries citing papers authored by Zihuan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zihuan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihuan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zihuan Dai. A scholar is included among the top collaborators of Zihuan 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 Zihuan Dai. Zihuan Dai 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 10
3 8
4 23
5 4
6 3
7 1
8 3
9 6
10 36
11 3
12 11
13 19
14 14
15 9
16 5
17 42
18 8
19
Simulation of Z-pinch implosion using MARED code
8
20 4

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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