Cheng Lu

2.0k total citations
101 papers, 1.6k citations indexed

About

Cheng Lu is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Cheng Lu has authored 101 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Statistics, Probability and Uncertainty, 27 papers in Mechanics of Materials and 21 papers in Civil and Structural Engineering. Recurrent topics in Cheng Lu's work include Probabilistic and Robust Engineering Design (53 papers), Fatigue and fracture mechanics (20 papers) and Advanced Multi-Objective Optimization Algorithms (15 papers). Cheng Lu is often cited by papers focused on Probabilistic and Robust Engineering Design (53 papers), Fatigue and fracture mechanics (20 papers) and Advanced Multi-Objective Optimization Algorithms (15 papers). Cheng Lu collaborates with scholars based in China, Hong Kong and Iran. Cheng Lu's co-authors include Cheng‐Wei Fei, Yunwen Feng, Liqiang An, Da Teng, Rhea P. Liem, Behrooz Keshtegar, Yongjun Zhao, Osman Taylan, Siqi Bu and Huan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Antimicrobial Agents and Chemotherapy and Materials Science and Engineering A.

In The Last Decade

Cheng Lu

92 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Lu China 22 743 551 425 411 251 101 1.6k
Abdelkhalak El Hami France 25 733 1.0× 270 0.5× 685 1.6× 570 1.4× 198 0.8× 197 1.9k
Lu-Kai Song China 22 796 1.1× 595 1.1× 392 0.9× 344 0.8× 101 0.4× 51 1.2k
Guang-Chen Bai China 32 1.3k 1.8× 930 1.7× 649 1.5× 586 1.4× 273 1.1× 94 2.2k
Christian Gogu France 21 316 0.4× 247 0.4× 274 0.6× 301 0.7× 221 0.9× 59 1.1k
Herbert Martins Gomes Brazil 17 412 0.6× 282 0.5× 249 0.6× 844 2.1× 96 0.4× 85 1.4k
B. N. Rao India 28 774 1.0× 1.3k 2.4× 314 0.7× 1.5k 3.6× 97 0.4× 152 2.5k
Jinglai Wu China 25 851 1.1× 280 0.5× 611 1.4× 856 2.1× 534 2.1× 99 2.4k
Valder Steffen Brazil 26 411 0.6× 470 0.9× 716 1.7× 862 2.1× 724 2.9× 160 2.2k

Countries citing papers authored by Cheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Lu. A scholar is included among the top collaborators of Cheng Lu 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 Cheng Lu. Cheng Lu 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.
Feng, Yunwen, et al.. (2025). Prediction of the compressive strength and carpet plot for cross-material CFRP laminate based on deep transfer learning. Materials Science and Engineering A. 924. 147792–147792. 4 indexed citations
2.
Zeng, Xiaoyun, et al.. (2025). VC-HSMM: Vine Copula-based hybrid surrogate modeling method for multi-failure correlation reliability analyses. Aerospace Science and Technology. 168. 110904–110904.
3.
Feng, Yunwen, et al.. (2025). Enhanced embedding surrogate modeling method of interactive components reliability evaluation for nose wheel steering mechanism. Reliability Engineering & System Safety. 262. 111237–111237.
4.
5.
Teng, Da, et al.. (2024). Vectorial generative adversarial surrogate modeling reliability evaluation framework for engineering structural systems. Reliability Engineering & System Safety. 247. 110076–110076. 8 indexed citations
6.
Lu, Cheng, et al.. (2024). IMR-HACSM: Hybrid adaptive coordination surrogate modeling-based improved moving regression approach for cascading reliability evaluation. Computer Methods in Applied Mechanics and Engineering. 435. 117680–117680. 1 indexed citations
7.
Feng, Yunwen, et al.. (2024). Selective transmit modeling framework of complex system reliability analysis considering failure correlation. Engineering Failure Analysis. 158. 107957–107957. 5 indexed citations
8.
Liu, Jiaqi, Yunwen Feng, Cheng Lu, & Cheng‐Wei Fei. (2024). Knowledge embedding synchronous surrogate modeling for multi-objective operational reliability evaluation of complex mechanical systems. Computers & Industrial Engineering. 196. 110482–110482. 1 indexed citations
9.
Feng, Yunwen, et al.. (2023). Self-constructed strategy-based reinforcement LSTM approach for fiber-reinforced polymer non-linear degradation performance analysis. Composites Science and Technology. 248. 110414–110414. 9 indexed citations
10.
Teng, Da, et al.. (2023). Multi-polynomial chaos Kriging-based adaptive moving strategy for comprehensive reliability analyses. Reliability Engineering & System Safety. 241. 109657–109657. 13 indexed citations
11.
Lu, Cheng, et al.. (2023). Adaptive vectorial surrogate modeling framework for multi-objective reliability estimation. Reliability Engineering & System Safety. 234. 109148–109148. 33 indexed citations
12.
Feng, Yunwen, et al.. (2023). Landing gear condition monitoring based on back propagation neural network-based on multi-strategy cooperative optimization. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 41(2). 264–273. 1 indexed citations
13.
Lu, Cheng, et al.. (2023). Legumain: a potential biomarker for atherosclerosis. Journal of Pharmacy and Pharmacology. 75(11). 1395–1404. 2 indexed citations
14.
Lu, Cheng, et al.. (2023). Improved time-optimal static programming algorithm for hypersonic vehicle. International Journal of Control. 97(5). 999–1013. 1 indexed citations
15.
Feng, Yunwen, et al.. (2023). Support vector machines-based pre-calculation error for structural reliability analysis. Engineering With Computers. 40(1). 477–491. 7 indexed citations
16.
Cao, Lixiong, Jie Liu, Cheng Lu, & Wei Wang. (2022). Efficient Inverse Method for Structural Identification Considering Modeling and Response Uncertainties. Chinese Journal of Mechanical Engineering. 35(1). 9 indexed citations
17.
Feng, Yunwen, et al.. (2021). LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems. Engineering Failure Analysis. 125. 105385–105385. 79 indexed citations
18.
Zhang, Chunyi, et al.. (2015). Reliability analysis of turbine blades based on fuzzy response surface method. Journal of Intelligent & Fuzzy Systems. 29(6). 2467–2474. 10 indexed citations
19.
Zhu, Panpan, et al.. (2015). Molecular Cloning and Functional Analysis of Polygalacturonase-Inhibiting Protein Gene MaPGIP1 from Mulberry (Morus atropurpurea Roxb.). ACTA AGRONOMICA SINICA. 41(9). 1361–1371. 2 indexed citations
20.
Lu, Cheng. (2011). Analysis and improvement of higher-order sliding mode differentiator. Kongzhi yu juece. 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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