Meide Yang

723 total citations
17 papers, 550 citations indexed

About

Meide Yang is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Meide Yang has authored 17 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics, Probability and Uncertainty, 11 papers in Computational Theory and Mathematics and 7 papers in Civil and Structural Engineering. Recurrent topics in Meide Yang's work include Probabilistic and Robust Engineering Design (16 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Wind and Air Flow Studies (4 papers). Meide Yang is often cited by papers focused on Probabilistic and Robust Engineering Design (16 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Wind and Air Flow Studies (4 papers). Meide Yang collaborates with scholars based in China, Australia and United States. Meide Yang's co-authors include Dequan Zhang, Xu Han, Qing Li, Fang Wang, Chao Jiang, Pengfei Zhou, Chen Jiang, Xing’ao Li, Rong Wang and Chuizhou Meng and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Sound and Vibration and Reliability Engineering & System Safety.

In The Last Decade

Meide Yang

15 papers receiving 540 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Meide Yang China 11 472 272 209 91 87 17 550
Younès Aoues France 13 476 1.0× 282 1.0× 335 1.6× 101 1.1× 74 0.9× 29 680
Chengning Zhou China 9 384 0.8× 222 0.8× 198 0.9× 110 1.2× 105 1.2× 21 559
Shui Yu China 14 424 0.9× 169 0.6× 180 0.9× 128 1.4× 64 0.7× 23 536
Xinpeng Wei China 11 358 0.8× 208 0.8× 139 0.7× 94 1.0× 92 1.1× 20 465
Yishang Zhang China 8 479 1.0× 278 1.0× 196 0.9× 91 1.0× 159 1.8× 10 534
Pierre Beaurepaire France 10 320 0.7× 151 0.6× 168 0.8× 126 1.4× 72 0.8× 27 481
Cao Tong China 4 404 0.9× 256 0.9× 172 0.8× 77 0.8× 119 1.4× 10 451
Guo‐Dong Lu China 6 472 1.0× 179 0.7× 322 1.5× 98 1.1× 47 0.5× 8 551
Nicolas Relun France 5 569 1.2× 286 1.1× 241 1.2× 139 1.5× 142 1.6× 7 642

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-authorship network of co-authors of Meide Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Meide Yang. A scholar is included among the top collaborators of Meide Yang 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 Meide Yang. Meide Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Yang, Meide, Hongfei Zhang, Dequan Zhang, Fang Wang, & Xu Han. (2025). Efficient global adaptive Kriging approximation method in terms of moment for reliability-based design optimization. Computer Methods in Applied Mechanics and Engineering. 437. 117813–117813. 2 indexed citations
2.
3.
Zhang, Dequan, et al.. (2025). Time series clustering adaptive enhanced method for time-dependent reliability analysis and design optimization. Computer Methods in Applied Mechanics and Engineering. 443. 118099–118099. 4 indexed citations
4.
Zhang, Dequan, et al.. (2025). Reliability-based design optimization method with correlated variables using adaptive conjugate gradient analysis and Copula. Reliability Engineering & System Safety. 265. 111469–111469.
5.
Yang, Meide, Hongfei Zhang, Dequan Zhang, Xu Han, & Qing Li. (2024). Time-variant reliability-based robust optimization for structures with material degradation. Computer Methods in Applied Mechanics and Engineering. 432. 117337–117337. 6 indexed citations
6.
Zhang, Dequan, Meide Yang, & Xu Han. (2024). A decoupled method for time-dependent reliability-based design optimization. Science China Technological Sciences. 68(1). 7 indexed citations
7.
Zhang, Dequan, et al.. (2024). On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling. Structural and Multidisciplinary Optimization. 67(1). 13 indexed citations
8.
Yang, Meide, Dequan Zhang, Chao Jiang, Fang Wang, & Xu Han. (2023). A new solution framework for time-dependent reliability-based design optimization. Computer Methods in Applied Mechanics and Engineering. 418. 116475–116475. 19 indexed citations
9.
Zhang, Dequan, Meng Yuan, Meide Yang, et al.. (2023). AK-HR : An efficient adaptive Kriging-based n-hypersphere rings method for structural reliability analysis. Computer Methods in Applied Mechanics and Engineering. 414. 116146–116146. 37 indexed citations
10.
Yang, Meide, Dequan Zhang, Fang Wang, & Xu Han. (2022). Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization. Computer Methods in Applied Mechanics and Engineering. 390. 114462–114462. 70 indexed citations
11.
Zhang, Dequan, Jingke Zhang, Meide Yang, Rong Wang, & Zeping Wu. (2022). An enhanced finite step length method for structural reliability analysis and reliability-based design optimization. Structural and Multidisciplinary Optimization. 65(8). 24 indexed citations
12.
Zhang, Dequan, Xing’ao Li, Meide Yang, Fang Wang, & Xu Han. (2022). Non-random vibration analysis of rotate vector reducer. Journal of Sound and Vibration. 542. 117380–117380. 29 indexed citations
13.
Zhang, Dequan, Pengfei Zhou, Chen Jiang, et al.. (2021). A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis. Computer Methods in Applied Mechanics and Engineering. 384. 113990–113990. 91 indexed citations
14.
Yang, Meide, et al.. (2021). Reliability-based design optimization for RV reducer with experimental constraint. Structural and Multidisciplinary Optimization. 63(4). 2047–2064. 46 indexed citations
15.
Yang, Meide, Dequan Zhang, Chao Jiang, Xu Han, & Qing Li. (2021). A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems. Reliability Engineering & System Safety. 215. 107736–107736. 62 indexed citations
16.
Yang, Meide, Dequan Zhang, & Xu Han. (2020). New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization. Computer Methods in Applied Mechanics and Engineering. 366. 113018–113018. 109 indexed citations
17.
Yang, Meide, Dequan Zhang, & Xu Han. (2020). Enriched single-loop approach for reliability-based design optimization of complex nonlinear problems. Engineering With Computers. 38(3). 2431–2449. 31 indexed citations

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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