Shui Yu

616 total citations
23 papers, 536 citations indexed

About

Shui Yu is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Shui Yu has authored 23 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics, Probability and Uncertainty, 10 papers in Civil and Structural Engineering and 10 papers in Computational Theory and Mathematics. Recurrent topics in Shui Yu's work include Probabilistic and Robust Engineering Design (21 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Structural Health Monitoring Techniques (7 papers). Shui Yu is often cited by papers focused on Probabilistic and Robust Engineering Design (21 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Structural Health Monitoring Techniques (7 papers). Shui Yu collaborates with scholars based in China, United Kingdom and United States. Shui Yu's co-authors include Zhonglai Wang, Yun Li, Kewang Zhang, Debiao Meng, Zhihua Wang, Jing Liu, Xiao Wu, Yanwei Zhang, Peng Guo and Yi Chen and has published in prestigious journals such as IEEE Access, Computer Methods in Applied Mechanics and Engineering and Mechanical Systems and Signal Processing.

In The Last Decade

Shui Yu

22 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shui Yu China 14 424 180 169 128 112 23 536
Pierre Beaurepaire France 10 320 0.8× 168 0.9× 151 0.9× 126 1.0× 81 0.7× 27 481
Meide Yang China 11 472 1.1× 209 1.2× 272 1.6× 91 0.7× 69 0.6× 17 550
Younès Aoues France 13 476 1.1× 335 1.9× 282 1.7× 101 0.8× 69 0.6× 29 680
Chuang Xiong China 9 370 0.9× 218 1.2× 155 0.9× 90 0.7× 45 0.4× 12 506
Cécile Mattrand France 10 263 0.6× 175 1.0× 136 0.8× 104 0.8× 43 0.4× 23 426
Beiqing Huang United States 7 626 1.5× 241 1.3× 303 1.8× 149 1.2× 77 0.7× 11 688
Ib Enevoldsen Denmark 13 523 1.2× 500 2.8× 241 1.4× 87 0.7× 89 0.8× 33 750
Kwon Hee Lee South Korea 3 250 0.6× 105 0.6× 195 1.2× 45 0.4× 26 0.2× 6 437
Yuxue Pu China 9 188 0.4× 260 1.4× 56 0.3× 105 0.8× 37 0.3× 27 435
Thomas Most Germany 11 192 0.5× 246 1.4× 43 0.3× 147 1.1× 84 0.8× 20 433

Countries citing papers authored by Shui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shui Yu

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

All Works

20 of 20 papers shown
1.
Yu, Feng, Xiao Wu, & Shui Yu. (2025). Kriging-Based Time-Variant Reliability Analysis Incorporating Error Distance Function and First Crossing Time Point. Applied Sciences. 15(10). 5257–5257.
2.
Yu, Shui, et al.. (2025). Underwater Target Detection with High Accuracy and Speed Based on YOLOv10. Journal of Marine Science and Engineering. 13(1). 135–135. 5 indexed citations
3.
Yu, Shui, et al.. (2024). A two-level surrogate framework for demand-objective time-variant reliability-based design optimization. Reliability Engineering & System Safety. 244. 109924–109924. 10 indexed citations
4.
Yu, Shui, et al.. (2024). A regional attenuation-based active learning method and its combination with minimax SSA for time-variant hybrid reliability analysis. Structural and Multidisciplinary Optimization. 67(4). 2 indexed citations
5.
Yu, Shui, et al.. (2023). Dynamic pruning-based Bayesian support vector regression for reliability analysis. Reliability Engineering & System Safety. 244. 109922–109922. 17 indexed citations
6.
Yu, Shui, et al.. (2023). Adaptive First-Crossing Approach for Life-Cycle Reliability Analysis. Journal of Mechanical Design. 145(9). 5 indexed citations
7.
Yu, Shui & Yun Li. (2021). Active Learning Kriging Model With Adaptive Uniform Design for Time-Dependent Reliability Analysis. IEEE Access. 9. 91625–91634. 19 indexed citations
8.
Yu, Shui, Zhonglai Wang, & Yun Li. (2021). Time and space-variant system reliability analysis through adaptive Kriging and weighted sampling. Mechanical Systems and Signal Processing. 166. 108443–108443. 42 indexed citations
9.
Wang, Zhihua, Zhonglai Wang, & Shui Yu. (2020). Two-dimensional extreme distribution for estimating mechanism reliability under large variance. Advances in Manufacturing. 8(3). 369–379. 2 indexed citations
10.
Yu, Shui, Yanwei Zhang, Yun Li, & Zhonglai Wang. (2020). Time-variant reliability analysis via approximation of the first-crossing PDF. Structural and Multidisciplinary Optimization. 62(5). 2653–2667. 20 indexed citations
11.
Wang, Zhihua, et al.. (2019). Time-dependent mechanism reliability analysis based on envelope function and vine-copula function. Mechanism and Machine Theory. 134. 667–684. 61 indexed citations
12.
Wang, Zhonglai, Jing Liu, & Shui Yu. (2019). Time-variant reliability prediction for dynamic systems using partial information. Reliability Engineering & System Safety. 195. 106756–106756. 29 indexed citations
13.
Wang, Zhonglai, et al.. (2019). Time-Dependent Concurrent Reliability-Based Design Optimization Integrating the Time-Variant B-Distance Index. Journal of Mechanical Design. 141(9). 14 indexed citations
14.
Yu, Shui, et al.. (2019). Time-Dependent Reliability-Based Robust Design Optimization Using Evolutionary Algorithm. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 5(2). 17 indexed citations
15.
Wang, Zhonglai, Shui Yu, Yi Chen, & Yun Li. (2018). Robust Design for the Lower Extremity Exoskeleton Under a Stochastic Terrain by Mimicking Wolf Pack Behaviors. IEEE Access. 6. 30714–30725. 16 indexed citations
16.
Yu, Shui, Zhonglai Wang, & Debiao Meng. (2018). Time-variant reliability assessment for multiple failure modes and temporal parameters. Structural and Multidisciplinary Optimization. 58(4). 1705–1717. 72 indexed citations
17.
Yu, Shui, et al.. (2018). A time-dependent probabilistic fatigue analysis method considering stochastic loadings and strength degradation. Advances in Mechanical Engineering. 10(7). 4 indexed citations
19.
Yu, Shui & Zhonglai Wang. (2018). A Novel Time-Variant Reliability Analysis Method Based on Failure Processes Decomposition for Dynamic Uncertain Structures. Journal of Mechanical Design. 140(5). 57 indexed citations
20.
Yu, Shui, Zhonglai Wang, & Kewang Zhang. (2017). Sequential time-dependent reliability analysis for the lower extremity exoskeleton under uncertainty. Reliability Engineering & System Safety. 170. 45–52. 66 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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