Zhenzhou Lü

5.5k total citations · 1 hit paper
198 papers, 4.5k citations indexed

About

Zhenzhou Lü is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Zhenzhou Lü has authored 198 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Statistics, Probability and Uncertainty, 98 papers in Civil and Structural Engineering and 82 papers in Mechanics of Materials. Recurrent topics in Zhenzhou Lü's work include Probabilistic and Robust Engineering Design (171 papers), Fatigue and fracture mechanics (69 papers) and Advanced Multi-Objective Optimization Algorithms (41 papers). Zhenzhou Lü is often cited by papers focused on Probabilistic and Robust Engineering Design (171 papers), Fatigue and fracture mechanics (69 papers) and Advanced Multi-Objective Optimization Algorithms (41 papers). Zhenzhou Lü collaborates with scholars based in China, United Kingdom and Germany. Zhenzhou Lü's co-authors include Kai Cheng, Pengfei Wei, Jingwen Song, Sinan Xiao, Wanying Yun, Yicheng Zhou, Luyi Li, Yan Shi, Chunyan Ling and Xiukai Yuan and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Materials Science and Engineering A.

In The Last Decade

Zhenzhou Lü

190 papers receiving 4.4k citations

Hit Papers

Variable importance analysis: A comprehensive review 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenzhou Lü China 34 3.4k 1.8k 1.1k 1.1k 546 198 4.5k
Maurice Lemaire France 17 3.5k 1.0× 2.0k 1.1× 836 0.7× 1.7k 1.5× 713 1.3× 49 4.3k
Ikjin Lee South Korea 32 2.0k 0.6× 1.2k 0.7× 579 0.5× 1.5k 1.3× 591 1.1× 158 3.7k
Zhen Hu United States 35 2.1k 0.6× 1.1k 0.6× 647 0.6× 1.0k 0.9× 493 0.9× 228 4.6k
Ove Ditlevsen Denmark 25 3.6k 1.1× 3.1k 1.7× 1.1k 1.0× 621 0.6× 381 0.7× 116 5.8k
Dániel Straub Germany 42 3.1k 0.9× 3.3k 1.8× 949 0.8× 399 0.4× 292 0.5× 231 6.1k
Behrooz Keshtegar Iran 50 2.5k 0.8× 2.7k 1.5× 2.1k 1.9× 993 0.9× 274 0.5× 160 6.2k
Christian Bucher Austria 30 2.3k 0.7× 2.1k 1.2× 773 0.7× 372 0.3× 155 0.3× 93 3.6k
Manolis Papadrakakis Greece 44 2.4k 0.7× 4.4k 2.4× 1.7k 1.5× 1.4k 1.2× 193 0.4× 212 6.9k
Pingfeng Wang United States 33 1.8k 0.5× 1.1k 0.6× 581 0.5× 676 0.6× 380 0.7× 222 4.8k
Achintya Haldar United States 28 1.6k 0.5× 2.6k 1.5× 994 0.9× 358 0.3× 282 0.5× 158 3.8k

Countries citing papers authored by Zhenzhou Lü

Since Specialization
Citations

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

Fields of papers citing papers by Zhenzhou Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenzhou Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenzhou Lü. A scholar is included among the top collaborators of Zhenzhou Lü 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 Zhenzhou Lü. Zhenzhou Lü 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.
Dong, Yujiao, et al.. (2025). Second-order locally active memristor based neuronal circuit. Chaos Solitons & Fractals. 195. 116279–116279. 6 indexed citations
2.
Lü, Zhenzhou, et al.. (2025). Beamforming design and trajectory optimization for integrated sensing and communication supported by multiple UAVs based on DRL. Vehicular Communications. 54. 100932–100932. 2 indexed citations
4.
Lü, Zhenzhou, et al.. (2025). Maximizing Computation Efficiency and Fairness of Multi-UAV Assisted MEC System Supported by RIS. IEEE Transactions on Communications. 74. 854–869.
5.
Sun, Guangyu, Jiyuan Tu, Baolin Tang, et al.. (2025). Adoptive transfer of third‐party donor CMV ‐specific T cells for refractory cytomegalovirus infection following umbilical cord blood transplantation. British Journal of Haematology. 207(5). 2072–2079.
6.
Lü, Zhenzhou, et al.. (2025). Hierarchical importance sampling method for estimating failure probability function. Reliability Engineering & System Safety. 262. 111258–111258.
8.
9.
Wu, Xiaomin, et al.. (2024). An efficient algorithm for estimating profust failure probability function under the assumption of probable input and fuzzy state. Fuzzy Sets and Systems. 504. 109250–109250. 1 indexed citations
10.
Ling, Chunyan & Zhenzhou Lü. (2021). Compound kriging-based importance sampling for reliability analysis of systems with multiple failure modes. Engineering Optimization. 54(5). 805–829. 12 indexed citations
11.
Ling, Chunyan, et al.. (2020). An efficient method for estimating fuzzy failure probability-based global fuzzy reliability sensitivity. Engineering Optimization. 53(4). 576–593. 2 indexed citations
12.
Ling, Chunyan, Zhenzhou Lü, & Kaixuan Feng. (2020). A novel extended crossing rate method for time-dependent hybrid reliability analysis under random and interval inputs. Engineering Optimization. 52(10). 1720–1742. 9 indexed citations
13.
Ling, Chunyan, Zhenzhou Lü, Bo Sun, & Minjie Wang. (2019). An efficient method combining active learning Kriging and Monte Carlo simulation for profust failure probability. Fuzzy Sets and Systems. 387. 89–107. 36 indexed citations
14.
Ling, Chunyan & Zhenzhou Lü. (2019). Adaptive Kriging coupled with importance sampling strategies for time-variant hybrid reliability analysis. Applied Mathematical Modelling. 77. 1820–1841. 31 indexed citations
15.
Xu, Liyang, Zhenzhou Lü, Luyi Li, Yan Shi, & Gang Zhao. (2018). Sensitivity analysis of correlated outputs and its application to a dynamic model. Environmental Modelling & Software. 105. 39–53. 3 indexed citations
16.
Wei, Pengfei, et al.. (2018). A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models. International Journal of Approximate Reasoning. 98. 78–95. 11 indexed citations
17.
Xiao, Sinan, Zhenzhou Lü, & Liyang Xu. (2017). Global sensitivity analysis based on random variables with interval parameters by metamodel-based optimisation. International Journal of Systems Science Operations & Logistics. 5(3). 268–281. 6 indexed citations
18.
Wang, Pan, Zhenzhou Lü, & Sinan Xiao. (2017). A generalized separation for the variance contributions of input variables and their distribution parameters. Applied Mathematical Modelling. 47. 381–399. 16 indexed citations
19.
Lü, Zhenzhou, et al.. (2014). Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation. Journal of Applied Mathematics. 2014. 1–11. 3 indexed citations
20.
Lü, Zhenzhou, et al.. (2009). Growth of Casting Microcrack and Micropore in Single-crystal Superalloys Analysed by Three-Dimensional Unit Cell. Journal of Material Science and Technology. 22(2). 183–189. 2 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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