Lu-Kai Song
Impact in
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- Probabilistic and Robust Engineering Design
- Mechanics of Materials top 2%
- Fatigue and fracture mechanics
Papers in
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- Probabilistic and Robust Engineering Design 44
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- Fatigue and fracture mechanics 24
- Engineering Diagnostics and Reliability 3
- Co-authors
- Guang-Chen Bai (34 shared papers)Xueqin Li (20 shared papers)Cheng‐Wei Fei (10 shared papers)Jie Wen (4 shared papers)Yat Sze Choy (6 shared papers)Bowei Wang (4 shared papers)Wenzhong Tang (3 shared papers)Chunyi Zhang (3 shared papers)
In The Last Decade
Lu-Kai Song
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 64
- Statistics, Probability and Uncertainty 796
- Mechanics of Materials 595
- Civil and Structural Engineering 344
- Computational Theory and Mathematics 218
- Mechanical Engineering 392
Countries citing papers authored by Lu-Kai Song
This map shows the geographic impact of Lu-Kai Song'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 Lu-Kai Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu-Kai Song more than expected).
Fields of papers citing papers by Lu-Kai Song
This network shows the impact of papers produced by Lu-Kai Song. 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 Lu-Kai Song. The network helps show where Lu-Kai Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu-Kai Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2022 | 74 | |
| 3 | 2018 | 72 | |
| 4 | 2017 | 68 | |
| 5 | 2019 | 64 | |
| 6 | 2023 | 59 | |
| 7 | 2022 | 52 | |
| 8 | 2019 | 51 | |
| 9 | 2017 | 49 | |
| 10 | 2017 | 48 | |
| 11 | 2021 | 40 | |
| 12 | 2022 | 40 | |
| 13 | 2016 | 40 | |
| 14 | 2024 | 37 | |
| 15 | 2021 | 35 | |
| 16 | 2020 | 34 | |
| 17 | 2020 | 34 | |
| 18 | 2022 | 32 | |
| 19 | 2022 | 31 | |
| 20 | 2020 | 25 |
About Lu-Kai Song
Lu-Kai Song is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering and Computational Theory and Mathematics, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (44 papers), Fatigue and fracture mechanics (24 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), High Temperature Alloys and Creep (7 papers), Turbomachinery Performance and Optimization (7 papers), Structural Health Monitoring Techniques (5 papers), Nuclear Engineering Thermal-Hydraulics (3 papers) and Engineering Diagnostics and Reliability (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (796 citations), Mechanics of Materials (595 citations), Civil and Structural Engineering (344 citations), Computational Theory and Mathematics (218 citations) and Mechanical Engineering (392 citations). Lu-Kai Song has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Guang-Chen Bai, Xueqin Li, Cheng‐Wei Fei, Jie Wen, Yat Sze Choy, Bowei Wang, Wenzhong Tang, Chunyi Zhang, Shun‐Peng Zhu and Jie Wen. Their work appears in journals such as Aerospace Science and Technology, International Journal of Fatigue, Computer Modeling in Engineering & Sciences, Structural and Multidisciplinary Optimization 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.