Dehao Yu

48 papers receiving 634 citations

Peers

Dehao Yu
Comparison fields: 5 of 61
  • Numerical Analysis 165
  • Modeling and Simulation 109
  • Computational Mechanics 347
  • Mechanics of Materials 409
  • Applied Mathematics 86
Replace Hsin‐Yun Hu with:
Hsin‐Yun Hu Taiwan
C. S. Chen United States
C.S. Chen United States
Graeme Chandler Australia
Lehel Banjai Germany
Xiaochuan Tian United States
Etienne Emmrich Germany
Norbert Heuer Chile
Vladimir Shaĭdurov Russia
L. Scuderi Italy
Dehao Yu relative to Hsin‐Yun Hu Taiwan Hsin‐Yun Hu's profile →
Citations per field
00.5×3.0×
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 2003126
2 200395
3 198862
4 198754
5 200948
6 200826
7 198725
8 200917
9 200815
10 200914
11 200914
12 200113
13 201112
14 201012
15 200310
16 199310
17 200410
18 201310
19 19918
20 20018

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 687 indexed citations. Recurring topics across this work include Numerical methods in engineering (35 papers), Advanced Numerical Methods in Computational Mathematics (23 papers), Electromagnetic Simulation and Numerical Methods (20 papers), Electromagnetic Scattering and Analysis (12 papers), Contact Mechanics and Variational Inequalities (7 papers), Fractional Differential Equations Solutions (6 papers), Mathematical functions and polynomials (6 papers) and Iterative Methods for Nonlinear Equations (5 papers). The work is most often cited by research in Numerical Analysis (165 citations), Modeling and Simulation (109 citations), Computational Mechanics (347 citations), Mechanics of Materials (409 citations) and Applied Mathematics (86 citations). Dehao Yu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Dan Givoli, Yunqing Huang, Yanping Chen, Wolfgang L. Wendland, Jiming Wu, Ivo Babuška, 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, Advances in Computational Mathematics and Journal of Computational 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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