Luyi Li

915 citations
55 papers · 739 · h-index 16

Impact in

Papers in

Luyi Li

55 papers receiving 704 citations

Peers

Luyi Li
Comparison fields: 5 of 74
  • Statistics, Probability and Uncertainty 567
  • Civil and Structural Engineering 330
  • Computational Theory and Mathematics 160
  • Safety, Risk, Reliability and Quality 87
  • Mechanics of Materials 186
Replace Yunwen Feng with:
Yunwen Feng China
Ramesh Rebba United States
Shiyuan Yang China
Yicheng Zhou China
Zhangchun Tang China
Wanxin He China
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Citations per field
00.5×20×40×54×
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Citations per year

Countries citing papers authored by Luyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Luyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012122
2 202047
3 201641
4 201338
5 201531
6 201231
7 202121
8 202120
9 202319
10 201319
11 201919
12 201717
13 201016
14 201415
15 201515
16 201715
17 201114
18 201914
19 200914
20 202013

About Luyi Li

Luyi Li is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality, having authored 55 papers that have together received 739 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (47 papers), Structural Health Monitoring Techniques (18 papers), Fatigue and fracture mechanics (14 papers), Structural Response to Dynamic Loads (10 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Concrete Corrosion and Durability (8 papers), Risk and Safety Analysis (5 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (567 citations), Civil and Structural Engineering (330 citations), Computational Theory and Mathematics (160 citations), Safety, Risk, Reliability and Quality (87 citations) and Mechanics of Materials (186 citations). Luyi Li has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Zhenzhou Lü, Yushan Liu, Zhenzhou Lü, Bintuan Wang, Lü Zhenzhou, Shufang Song, Changcong Zhou, Bo Ren, Guijie Li and Yanlin Zheng. Their work appears in journals such as Reliability Engineering & System Safety, Applied Mathematical Modelling, Aerospace Science and Technology, Structural Safety and Fuzzy Sets and Systems.

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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