Meide Yang

15 papers receiving 579 citations

Peers

Meide Yang
Comparison fields: 5 of 39
  • Statistics, Probability and Uncertainty 494
  • Computational Theory and Mathematics 276
  • Civil and Structural Engineering 214
  • Safety, Risk, Reliability and Quality 69
  • Management Science and Operations Research 88
Replace Younès Aoues with:
Younès Aoues France
Shui Yu China
Hyunkyoo Cho South Korea
Chengning Zhou China
Nicolas Relun France
Changcong Zhou China
Xiukai Yuan China
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Meide Yang relative to Younès Aoues France Younès Aoues's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meide Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meide Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Meide 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 Meide Yang Line = papers co-authored together Meide Yang links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020111
2 202199
3 202271
4 202165
5 202147
6 202341
7 202031
8 202231
9 202224
10 202321
11 202416
12 202410
13 20249
14 20256
15 20253
16 20250
17 20250
18 20260

About Meide Yang

Meide Yang is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Civil and Structural Engineering, Management Science and Operations Research and Environmental Engineering, having authored 18 papers that have together received 585 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (17 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Wind and Air Flow Studies (4 papers), Optimal Experimental Design Methods (4 papers), Structural Health Monitoring Techniques (3 papers), Concrete Corrosion and Durability (3 papers), Fatigue and fracture mechanics (2 papers) and Numerical methods in engineering (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (494 citations), Computational Theory and Mathematics (276 citations), Civil and Structural Engineering (214 citations), Safety, Risk, Reliability and Quality (69 citations) and Management Science and Operations Research (88 citations). Meide Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dequan Zhang, Xu Han, Qing Li, Fang Wang, Chao Jiang, Chen Jiang, Pengfei Zhou, Chuizhou Meng, Xing’ao Li and Meng Yuan. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Structural and Multidisciplinary Optimization, Reliability Engineering & System Safety, Engineering With Computers and Journal of Sound and Vibration.

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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