Kai Yang

2.0k citations
72 papers · 1.6k · h-index 24

Impact in

Papers in

    • Numerical methods in engineering 44
    • Composite Structure Analysis and Optimization 13
    • Advanced Numerical Methods in Computational Mathematics 21
    • Heat transfer and supercritical fluids 6

Kai Yang

68 papers receiving 1.5k citations

Peers

Kai Yang
Comparison fields: 5 of 66
  • Mechanics of Materials 1.0k
  • Computational Mechanics 589
  • Numerical Analysis 85
  • Mathematical Physics 119
  • Statistical and Nonlinear Physics 153
Replace Miao Cui with:
Miao Cui China
Wenzhen Qu China
Qiang Gao China
Robert Vertnik Slovenia
J. I. Frankel United States
P. W. Partridge United Kingdom
Ben Blackwell United States
J. Trevelyan United Kingdom
R. J. Knops United Kingdom
Nathaniel Trask United States
Kai Yang relative to Miao Cui China Miao Cui's profile →
Citations per field
00.5×1.5×
Miao Cui · 1×
Citations per year

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021161
2 2016110
3 201094
4 200892
5 201760
6 201751
7 201646
8 201644
9 202041
10 201740
11 201539
12 200935
13 201435
14 201535
15 201134
16 202132
17 201931
18 201931
19 202126
20 201526

About Kai Yang

Kai Yang is a scholar working on Mechanics of Materials, Computational Mechanics, Electrical and Electronic Engineering, Aerospace Engineering and Mechanical Engineering, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Numerical methods in engineering (44 papers), Electromagnetic Simulation and Numerical Methods (23 papers), Advanced Numerical Methods in Computational Mathematics (21 papers), Composite Structure Analysis and Optimization (13 papers), Electromagnetic Scattering and Analysis (9 papers), Model Reduction and Neural Networks (8 papers), Numerical methods in inverse problems (7 papers) and Heat transfer and supercritical fluids (6 papers). The work is most often cited by research in Mechanics of Materials (1.0k citations), Computational Mechanics (589 citations), Numerical Analysis (85 citations), Mathematical Physics (119 citations) and Statistical and Nonlinear Physics (153 citations). Kai Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiao‐Wei Gao, Hai‐Feng Peng, Miao Cui, Wei-Zhe Feng, Genghui Jiang, Jialei Wang, Baojing Zheng, Jing Lu, Wang Sheng-dong and Xiaoliang Xu. Their work appears in journals such as Engineering Analysis with Boundary Elements, International Journal of Heat and Mass Transfer, Computer Methods in Applied Mechanics and Engineering, International Communications in Heat and Mass Transfer and Computers & Structures.

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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