Dehao Yu

48 papers receiving 579 citations

Peers

Dehao Yu
Comparison fields: 5 of 64
  • Numerical Analysis 151
  • Modeling and Simulation 96
  • Computational Mechanics 312
  • Mechanics of Materials 372
  • Applied Mathematics 73
Replace Hsin‐Yun Hu with:
Hsin‐Yun Hu Taiwan
C.S. Chen United States
C. S. Chen United States
Graeme Chandler Australia
Xiaochuan Tian United States
Lehel Banjai Germany
Etienne Emmrich Germany
L. Scuderi Italy
N. Papamichael United Kingdom
Lutz Angermann Germany
Dehao Yu relative to Hsin‐Yun Hu Taiwan Hsin‐Yun Hu's profile →
Citations per field
00.5×2.5×
Hsin‐Yun Hu · 1×
Citations per year

Countries citing papers authored by Dehao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dehao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dehao Yu, 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 Dehao Yu Line = papers co-authored together Dehao Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003123
2 200394
3 198856
4 198754
5 200946
6 200824
7 200916
8 200815
9 200113
10 201112
11 200912
12 200912
13 200310
14 199310
15 20109
16 20049
17 20139
18 19918
19 20018
20 20187

About Dehao Yu

Dehao Yu is a scholar working on Mechanics of Materials, Computational Mechanics, Electrical and Electronic Engineering, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 54 papers that have together received 630 indexed citations. Recurring topics across this work include Numerical methods in engineering (34 papers), Advanced Numerical Methods in Computational Mathematics (22 papers), Electromagnetic Simulation and Numerical Methods (19 papers), Electromagnetic Scattering and Analysis (12 papers), Contact Mechanics and Variational Inequalities (7 papers), Mathematical functions and polynomials (6 papers), Fractional Differential Equations Solutions (6 papers) and Iterative Methods for Nonlinear Equations (5 papers). The work is most often cited by research in Numerical Analysis (151 citations), Modeling and Simulation (96 citations), Computational Mechanics (312 citations), Mechanics of Materials (372 citations) and Applied Mathematics (73 citations). Dehao Yu has collaborated with scholars based in China, South Korea and Israel. Frequent co-authors include Dan Givoli, Yanping Chen, Yunqing Huang, Wolfgang L. Wendland, Ivo Babuška, Jiming Wu, Jin Li, Yueting Zhou, Xing Li and Xiao-Ping Zhang. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Journal of Computational and Applied Mathematics, Applied Mathematics and Mechanics, Journal of Scientific Computing and Applied Numerical Mathematics.

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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