Changqi Luo

1.1k total citations · 3 hit papers
20 papers, 741 citations indexed

About

Changqi Luo is a scholar working on Mechanics of Materials, Statistics, Probability and Uncertainty and Civil and Structural Engineering. According to data from OpenAlex, Changqi Luo has authored 20 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 12 papers in Statistics, Probability and Uncertainty and 9 papers in Civil and Structural Engineering. Recurrent topics in Changqi Luo's work include Fatigue and fracture mechanics (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Non-Destructive Testing Techniques (7 papers). Changqi Luo is often cited by papers focused on Fatigue and fracture mechanics (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Non-Destructive Testing Techniques (7 papers). Changqi Luo collaborates with scholars based in China, Iran and Portugal. Changqi Luo's 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 and has published in prestigious 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.

In The Last Decade

Changqi Luo

20 papers receiving 718 citations

Hit Papers

Hybrid enhanced Monte Carlo simulation coupled with advan... 2021 2026 2022 2024 2021 2023 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
    2021 170 citations Changqi Luo, Behrooz Keshtegar et al. Computer Methods in Applied Mechanics and Engineering profile →
  2. Physics-guided machine learning frameworks for fatigue life prediction of AM materials
    2023 82 citations Lanyi Wang, Shun‐Peng Zhu et al. International Journal of Fatigue profile →
  3. Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy
    2024 50 citations Changqi Luo, Shun‐Peng Zhu et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changqi Luo China 14 321 296 295 227 82 20 741
Qinghe Shi China 15 161 0.5× 253 0.9× 307 1.0× 360 1.6× 87 1.1× 56 703
Xiaopeng Niu China 17 595 1.9× 396 1.3× 626 2.1× 308 1.4× 83 1.0× 21 1.1k
Yingchun Bai China 15 358 1.1× 410 1.4× 173 0.6× 487 2.1× 172 2.1× 33 946
Zhao Jing China 17 176 0.5× 218 0.7× 499 1.7× 533 2.3× 169 2.1× 54 914
Kwon‐Hee Lee South Korea 12 318 1.0× 302 1.0× 131 0.4× 290 1.3× 310 3.8× 80 800
Ravi Penmetsa United States 17 73 0.2× 324 1.1× 212 0.7× 266 1.2× 115 1.4× 43 686
Xiaojie Tian China 14 143 0.4× 110 0.4× 160 0.5× 226 1.0× 25 0.3× 39 621
Ioannis Doltsinis Germany 14 139 0.4× 308 1.0× 180 0.6× 325 1.4× 226 2.8× 45 773
Rabia Khelif Algeria 12 216 0.7× 72 0.2× 121 0.4× 126 0.6× 53 0.6× 24 564
Hui Lü China 19 147 0.5× 432 1.5× 97 0.3× 272 1.2× 125 1.5× 47 791

Countries citing papers authored by Changqi Luo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Luo, Changqi, et al.. (2025). Machine learning-based enhanced Monte Carlo simulation for low failure probability structural reliability analysis. Structures. 74. 108530–108530. 3 indexed citations
2.
Wang, Lanyi, et al.. (2025). Multi-fidelity physics-informed machine learning framework for fatigue life prediction of additive manufactured materials. Computer Methods in Applied Mechanics and Engineering. 439. 117924–117924. 16 indexed citations
3.
Luo, Changqi, Shun‐Peng Zhu, Yuezu Lv, et al.. (2024). Uniform importance sampling with rejection control for structural reliability analysis. Computer Methods in Applied Mechanics and Engineering. 436. 117707–117707. 3 indexed citations
4.
Zhang, Shanglin, Lanyi Wang, Shun‐Peng Zhu, et al.. (2024). Physics-informed neural network for creep-fatigue life prediction of Inconel 617 and interpretation of influencing factors. Materials & Design. 245. 113267–113267. 14 indexed citations
5.
He, Jin-Chao, Shun‐Peng Zhu, Changqi Luo, et al.. (2024). Probabilistic notch fatigue assessment under size effect using micromechanics-based critical distance theory. International Journal of Fatigue. 183. 108280–108280. 13 indexed citations
6.
Yang, Shiyuan, Debiao Meng, Hengfei Yang, Changqi Luo, & Xiaoyan Su. (2024). Enhanced soft Monte Carlo simulation coupled with support vector regression for structural reliability analysis. Proceedings of the Institution of Civil Engineers - Transport. 178(7). 459–474. 18 indexed citations
7.
Zhu, Shun‐Peng, et al.. (2024). Probabilistic framework for strain-based fatigue life prediction and uncertainty quantification using interpretable machine learning. International Journal of Fatigue. 190. 108647–108647. 11 indexed citations
8.
Luo, Changqi, Shun‐Peng Zhu, Behrooz Keshtegar, et al.. (2024). Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy. Computer Methods in Applied Mechanics and Engineering. 423. 116863–116863. 50 indexed citations breakdown →
9.
Wang, Lanyi, Shun‐Peng Zhu, Changqi Luo, Ding Liao, & Qingyuan Wang. (2023). Physics-guided machine learning frameworks for fatigue life prediction of AM materials. International Journal of Fatigue. 172. 107658–107658. 82 indexed citations breakdown →
10.
Zhu, Shun‐Peng, Lanyi Wang, Changqi Luo, et al.. (2023). Physics-informed machine learning and its structural integrity applications: state of the art. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2260). 20220406–20220406. 40 indexed citations
11.
Zhu, Shun‐Peng, et al.. (2023). Structural optimization design of metal rubber isolator based on an ensemble surrogate model. Structures. 56. 104964–104964. 7 indexed citations
12.
Zhu, Shun‐Peng, Xiaopeng Niu, Behrooz Keshtegar, Changqi Luo, & Mansour Bagheri. (2023). Machine learning-based probabilistic fatigue assessment of turbine bladed disks under multisource uncertainties. International Journal of Structural Integrity. 14(6). 1000–1024. 38 indexed citations
13.
Zhang, Xin, Changqi Luo, Nicola Menga, et al.. (2023). Pressure and polymer selections for solid-state batteries investigated with high-throughput simulations. Cell Reports Physical Science. 4(3). 101328–101328. 19 indexed citations
14.
Luo, Changqi, Shun‐Peng Zhu, Behrooz Keshtegar, Xiaopeng Niu, & Osman Taylan. (2023). An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis. Reliability Engineering & System Safety. 237. 109377–109377. 63 indexed citations
15.
Wang, Lanyi, Shun‐Peng Zhu, Changqi Luo, Xiaopeng Niu, & Jin-Chao He. (2023). Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2260). 20220386–20220386. 29 indexed citations
16.
Luo, Changqi, et al.. (2022). Contact Mechanics Modeling for Pressure and Polymer Selections in Solid-State Batteries. SSRN Electronic Journal. 1 indexed citations
17.
Luo, Changqi, Behrooz Keshtegar, Shun‐Peng Zhu, & Xiaopeng Niu. (2022). EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis. Computer Methods in Applied Mechanics and Engineering. 400. 115499–115499. 88 indexed citations
18.
Niu, Xiaopeng, Shun‐Peng Zhu, Jin-Chao He, Changqi Luo, & Qingyuan Wang. (2022). Probabilistic and defect tolerant fatigue assessment of AM materials under size effect. Engineering Fracture Mechanics. 277. 109000–109000. 15 indexed citations
19.
He, Jin-Chao, Shun‐Peng Zhu, Changqi Luo, Xiaopeng Niu, & Qingyuan Wang. (2022). Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory. International Journal of Fatigue. 165. 107213–107213. 61 indexed citations
20.
Luo, Changqi, et al.. (2021). Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis. Computer Methods in Applied Mechanics and Engineering. 388. 114218–114218. 170 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Qinghe Shi Breakdown of academic impact, for papers by Xiaopeng Niu Breakdown of academic impact, for papers by Yingchun Bai Breakdown of academic impact, for papers by Zhao Jing Breakdown of academic impact, for papers by Kwon‐Hee Lee Breakdown of academic impact, for papers by Ravi Penmetsa Breakdown of academic impact, for papers by Xiaojie Tian Breakdown of academic impact, for papers by Ioannis Doltsinis Breakdown of academic impact, for papers by Rabia Khelif Breakdown of academic impact, for papers by Hui Lü
Rankless by CCL
2026