Cheng Lu

92 papers receiving 1.6k citations

Peers

Cheng Lu
Comparison fields: 5 of 131
  • Statistics, Probability and Uncertainty 743
  • Mechanics of Materials 551
  • Civil and Structural Engineering 411
  • Safety, Risk, Reliability and Quality 136
  • Computational Theory and Mathematics 201
Replace Lu-Kai Song with:
Lu-Kai Song China
Guang-Chen Bai China
Christian Gogu France
Yunwen Feng China
Michel Salaün France
Abdelkhalak El Hami France
Vitali Volovoi United States
Herbert Martins Gomes Brazil
Cheng Lu relative to Lu-Kai Song China Lu-Kai Song's profile →
Citations per field
00.5×3.5×
Lu-Kai Song · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Cheng Lu, 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 Cheng Lu Line = papers co-authored together Cheng Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202090
2 201883
3 202179
4 201974
5 202070
6 202169
7 202068
8 202168
9 202155
10 202255
11 200654
12 202154
13 201952
14 202150
15 202249
16 202144
17 201538
18 202333
19 201632
20 202025

About Cheng Lu

Cheng Lu is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials, Civil and Structural Engineering, Mechanical Engineering and Computational Theory and Mathematics, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (53 papers), Fatigue and fracture mechanics (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Structural Health Monitoring Techniques (14 papers), Reliability and Maintenance Optimization (13 papers), Turbomachinery Performance and Optimization (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Machine Fault Diagnosis Techniques (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (743 citations), Mechanics of Materials (551 citations), Civil and Structural Engineering (411 citations), Safety, Risk, Reliability and Quality (136 citations) and Computational Theory and Mathematics (201 citations). Cheng Lu has collaborated with scholars based in China, Hong Kong and Iran. Frequent 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. Their work appears in journals such as Aerospace Science and Technology, Reliability Engineering & System Safety, Chinese Journal of Aeronautics, Engineering Failure Analysis and IEEE Access.

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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