Changqi Luo
- Mechanical Engineering top 10%
- Statistics, Probability and Uncertainty top 0.5%
- Mechanics of Materials top 5%
- Civil and Structural Engineering top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Shun‐Peng ZhuXiaopeng NiuBehrooz KeshtegarOsman TaylanQingyuan WangLanyi WangJin-Chao HeDing Liao
- Topics
- Fatigue and fracture mechanics (12 papers)Probabilistic and Robust Engineering Design (12 papers)Non-Destructive Testing Techniques (7 papers)
In The Last Decade
Changqi Luo
20 papers receiving 718 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Mechanical Engineering 321
- Statistics, Probability and Uncertainty 296
- Mechanics of Materials 295
- Civil and Structural Engineering 227
- Computational Theory and Mathematics 82
Countries citing papers authored by Changqi Luo
This map shows the geographic impact of Changqi Luo'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 Changqi Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changqi Luo more than expected).
Fields of papers citing papers by Changqi Luo
This network shows the impact of papers produced by Changqi Luo. 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 Changqi Luo. The network helps show where Changqi Luo may publish in the future.
Co-authorship network of co-authors of Changqi Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Changqi Luo. A scholar is included among the top collaborators of Changqi Luo 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 Changqi Luo. Changqi Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 18 | |
| 7 | 11 | |
| 8 | Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategybreakdown → | 50 |
| 9 | Physics-guided machine learning frameworks for fatigue life prediction of AM materialsbreakdown → | 82 |
| 10 | 40 | |
| 11 | 7 | |
| 12 | 38 | |
| 13 | 19 | |
| 14 | 63 | |
| 15 | 29 | |
| 16 | 1 | |
| 17 | 88 | |
| 18 | 15 | |
| 19 | 61 | |
| 20 | Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysisbreakdown → | 170 |
About Changqi Luo
Changqi Luo is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Civil and Structural Engineering, having authored 20 papers that have together received 741 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Non-Destructive Testing Techniques (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (296 citations), Mechanics of Materials (295 citations) and Metals and Alloys (30 citations). Changqi Luo has collaborated with scholars based in China, Iran and Portugal. Frequent co-authors include Shun‐Peng Zhu, Xiaopeng Niu, Behrooz Keshtegar, Osman Taylan, Qingyuan Wang, Lanyi Wang, Jin-Chao He, Ding Liao, Debiao Meng and Wojciech Macek. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Materials & Design and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.