Guangwei Yuan

798 citations
80 papers · 616 indexed · h-index 15
Topics
Advanced Numerical Methods in Computational Mathematics (57 papers)Differential Equations and Numerical Methods (44 papers)Computational Fluid Dynamics and Aerodynamics (31 papers)

In The Last Decade

Guangwei Yuan

75 papers receiving 568 citations

Peers

Guangwei Yuan
Comparison fields: 5 of 43
  • Computational Mechanics 496
  • Numerical Analysis 355
  • Computational Theory and Mathematics 131
  • Electrical and Electronic Engineering 100
  • Mechanics of Materials 76
Replace Guangwei Yuan with:
Guangwei Yuan China
Christos Xenophontos Cyprus
Bo Dong United States
Masahisa Tabata Japan
Vladimir Shaĭdurov Russia
Pierre Jamet France
Benqi Guo Canada
Waixiang Cao China
Gabriel R. Barrenechea United Kingdom
Dehao Yu China
Guangwei Yuan relative to Guangwei Yuan China Guangwei Yuan's profile →
Citations per field
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Guangwei Yuan · 1×
Citations per year

Countries citing papers authored by Guangwei Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Guangwei Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwei Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Guangwei Yuan. A scholar is included among the top collaborators of Guangwei Yuan 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 Guangwei Yuan. Guangwei Yuan 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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 7
6 5
7 6
8 18
9 2
10 0
11 6
12
Initialization Method in Three-layer Parallel Difference Scheme for Heat Equation
1
13 10
14 24
15 1
16
Assistant Mesh Difference Method for Parabolic Equations on Distorted Meshes with Large Aspect Ratio
1
17
A Lagrangian Finite Point Method for Two-dimensional Fluid Dynamic Problems
2
18 9
19 19
20 5

About Guangwei Yuan

Guangwei Yuan is a scholar working on Numerical Analysis, Computational Mechanics and Applied Mathematics, having authored 80 papers that have together received 616 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (57 papers), Differential Equations and Numerical Methods (44 papers) and Computational Fluid Dynamics and Aerodynamics (31 papers). The work is most often cited by research in Numerical Analysis (355 citations), Computational Mechanics (496 citations) and Computational Theory and Mathematics (131 citations). Guangwei Yuan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiqiang Sheng, Yulin Zhou, Wei Yan, Weiwei Sun, Boling Guo, Shuai Wang, Yanzhong Yao, Yunlong Yu, Li Yin and Liyong Zhu. Their work appears in journals such as Journal of Computational Physics, International Journal for Numerical Methods in Engineering and SIAM Journal on Numerical Analysis.

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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