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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Physics-informed distributed modeling for CCF reliability evaluation of aeroengine rotor systems
Xueqin Li, Lu-Kai Song, Guang-Chen Bai, et al.
International Journal of Fatigue (2022) Vol. 167, pp. 107342-107342
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Multivariate ensembles-based hierarchical linkage strategy for system reliability evaluation of aeroengine cooling blades
Xueqin Li, Lu-Kai Song, Yat Sze Choy, et al.
Aerospace Science and Technology (2023) Vol. 138, pp. 108325-108325
Closed Access | Times Cited: 50
Cascade ensemble learning for multi-level reliability evaluation
Lu-Kai Song, Xueqin Li, Shun‐Peng Zhu, et al.
Aerospace Science and Technology (2024) Vol. 148, pp. 109101-109101
Closed Access | Times Cited: 27
MECSBO: Multi‐strategy enhanced circulatory system based optimisation algorithm for global optimisation and reliability‐based design optimisation problems
Shiyuan Yang, Chenhao Guo, Debiao Meng, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 19
Physics-informed machine learning and its structural integrity applications: state of the art
Shun‐Peng Zhu, Lanyi Wang, Changqi Luo, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2260
Closed Access | Times Cited: 28
Multiaxial fatigue life prediction for various metallic materials based on the hybrid CNN‐LSTM neural network
Fei Heng, Jianxiong Gao, Rongxia Xu, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 5, pp. 1979-1996
Open Access | Times Cited: 26
Surrogate-modeling-assisted creep-fatigue reliability assessment in a low-pressure turbine disc considering multi-source uncertainty
Run‐Zi Wang, Hang-Hang Gu, Yu Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109550-109550
Closed Access | Times Cited: 22
Multiaxial fatigue life prediction using physics-informed neural networks with sensitive features
GaoYuan He, Yongxiang Zhao, ChuLiang Yan
Engineering Fracture Mechanics (2023) Vol. 289, pp. 109456-109456
Closed Access | Times Cited: 19
Fatigue Reliability Analysis of Composite Material Considering the Growth of Effective Stress and Critical Stiffness
Jianxiong Gao, Fei Heng, Yiping Yuan, et al.
Aerospace (2023) Vol. 10, Iss. 9, pp. 785-785
Open Access | Times Cited: 19
A physics‐informed generative adversarial network framework for multiaxial fatigue life prediction
GaoYuan He, Yongxiang Zhao, ChuLiang Yan
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 10, pp. 4036-4052
Open Access | Times Cited: 16
Vectorial generative adversarial surrogate modeling reliability evaluation framework for engineering structural systems
Da Teng, Yunwen Feng, Cheng Lu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110076-110076
Closed Access | Times Cited: 5
Very high-cycle fatigue behavior of steel in hydrogen environment: State of the art review and challenges
Shiyuan Yang, Abílio M.P. De Jesus, Debiao Meng, et al.
Engineering Failure Analysis (2024), pp. 108898-108898
Closed Access | Times Cited: 5
Least Squares Support Vector Machines With Variable Selection and Hyperparameter Optimization for Complex Structures Reliability Assessment
Xiaowei Dong, Hao Zhang, Zhen-Ao Li, et al.
Quality and Reliability Engineering International (2025)
Closed Access
High-cycle and very-high-cycle fatigue life prediction in additive manufacturing using hybrid physics-informed neural networks
Isaac Abiria, Chan Wang, Qicheng Zhang, et al.
Engineering Fracture Mechanics (2025), pp. 111026-111026
Closed Access
System-level creep-fatigue reliability evaluation by engineering damage mechanics incorporating cumulative damage-damage threshold interference
Hang-Hang Gu, Run‐Zi Wang, Kun-Zhang, et al.
International Journal of Fatigue (2023) Vol. 176, pp. 107768-107768
Closed Access | Times Cited: 13
Improving Diesel Engine Reliability Using an Optimal Prognostic Model to Predict Diesel Engine Emissions and Performance Using Pure Diesel and Hydrogenated Vegetable Oil
Tadas Žvirblis, Jacek Hunicz, Jonas Matijošius, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 4
Open Access | Times Cited: 13
A probabilistic framework for the failure assessment of plate-fin heat exchangers under creep-fatigue interactions
Qi Chen, Xiaoxiao Wang, Haofeng Chen, et al.
Engineering Structures (2025) Vol. 329, pp. 119697-119697
Closed Access
A prior knowledge-guided predictive framework for LCF life and its implementation in shaft-like components under multiaxial loading
Butong Li, Junjie Zhu, Xufeng Zhao
Reliability Engineering & System Safety (2025), pp. 111044-111044
Closed Access
Fatigue reliability analysis of aeroengine blade-disc systems using physics-informed ensemble learning
Xueqin Li, Lu-Kai Song, Yat Sze Choy, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2260
Closed Access | Times Cited: 11
A modified nonlinear cumulative damage model for combined high and low cycle fatigue life prediction
Peng Yue, He Li, Yan Dong, et al.
Fatigue & Fracture of Engineering Materials & Structures (2024) Vol. 47, Iss. 4, pp. 1300-1311
Closed Access | Times Cited: 3
Etemadi regression in chemometrics: Reliability-based procedures for modeling and forecasting
Sepideh Etemadi, Mehdi Khashei
Heliyon (2024) Vol. 10, Iss. 5, pp. e26399-e26399
Open Access | Times Cited: 3
AOK‐ES: Adaptive optimized Kriging combining efficient sampling for structural reliability analysis
Ying Huang, Jianguo Zhang, Bowei Wang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 4, pp. 1502-1525
Closed Access | Times Cited: 2
A hybrid physics-informed machine learning approach for time-dependent reliability assessment of electromagnetic relays
Fabin Mei, Hao Chen, Wenying Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110385-110385
Closed Access | Times Cited: 2
Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling
Yaowei Wang, Lu-Kai Song, Xueqin Li, et al.
Journal of Materials Research and Technology (2023) Vol. 24, pp. 2812-2827
Open Access | Times Cited: 6
Improving Directional Overcurrent Relay Coordination in Distribution Networks for Optimal Operation Using Hybrid Genetic Algorithm with Sequential Quadratic Programming
Faraj Al-Bhadely, Aslan İnan
Energies (2023) Vol. 16, Iss. 20, pp. 7031-7031
Open Access | Times Cited: 6
Fatigue reliability framework using enhanced active Kriging-based hierarchical collaborative strategy
Hong Zhang, Lu-Kai Song, Guang-Chen Bai, et al.
International Journal of Structural Integrity (2023) Vol. 14, Iss. 2, pp. 267-292
Closed Access | Times Cited: 5
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