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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:

Machine learning assisted probabilistic creep-fatigue damage assessment
Hang-Hang Gu, Run‐Zi Wang, Shun‐Peng Zhu, et al.
International Journal of Fatigue (2021) Vol. 156, pp. 106677-106677
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods
Haijie Wang, Bo Li, Jian‐Guo Gong, et al.
Engineering Fracture Mechanics (2023) Vol. 284, pp. 109242-109242
Closed Access | Times Cited: 107
Multiaxial fatigue under variable amplitude loadings: review and solutions
Qing-Yun Deng, Shun‐Peng Zhu, Jin-Chao He, et al.
International Journal of Structural Integrity (2022) Vol. 13, Iss. 3, pp. 349-393
Closed Access | Times Cited: 69
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
A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures
Run‐Zi Wang, Hang-Hang Gu, Shun‐Peng Zhu, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108523-108523
Open Access | Times Cited: 63
Creep-fatigue damage behavior of a titanium alloy at room temperature: Experiments and modeling
Yuhao Guo, Gang Liu, Tianzhen Jiao, et al.
International Journal of Mechanical Sciences (2023) Vol. 245, pp. 108135-108135
Closed Access | Times Cited: 23
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
Data-driven fatigue life prediction of small-deep holes in a nickel-based superalloy after a cold expansion process
Chao-Zong Tang, Hongwei Li, Kai-Shang Li, et al.
International Journal of Fatigue (2024) Vol. 181, pp. 108159-108159
Closed Access | Times Cited: 13
An artificial neural network method for probabilistic life prediction of corroded reinforced concrete
Jianxiong Gao, Haojin Yang
International Journal of Fatigue (2024) Vol. 186, pp. 108418-108418
Closed Access | Times Cited: 13
Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks
Longze Li, Jiang Chang, Aleksandar Vakanski, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
An image recognition based multiaxial low-cycle fatigue life prediction method with CNN model
Xingyue Sun, Tianguo Zhou, Kai Song, et al.
International Journal of Fatigue (2022) Vol. 167, pp. 107324-107324
Closed Access | Times Cited: 35
Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network
Tieyao Zhang, Jian Shuai, Yi Shuai, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108990-108990
Closed Access | Times Cited: 29
Physics-based probabilistic assessment of creep-fatigue failure for pressurized components
Xiaoxiao Wang, Jie Yang, Haofeng Chen, et al.
International Journal of Mechanical Sciences (2023) Vol. 250, pp. 108314-108314
Closed Access | Times Cited: 19
Machine learning‐based approach for fatigue crack growth prediction using acoustic emission technique
Mengyu Chai, Pan Liu, Yuhang He, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 8, pp. 2784-2797
Closed Access | Times Cited: 17
Data-physics-model based fatigue reliability assessment methodology for high-temperature components and its application in steam turbine rotor
Hang-Hang Gu, Run‐Zi Wang, Minjin Tang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109633-109633
Closed Access | Times Cited: 17
Creep-fatigue reliability assessment for high-temperature components fusing on-line monitoring data and physics-of-failure by engineering damage mechanics approach
Hang-Hang Gu, Run‐Zi Wang, Minjin Tang, et al.
International Journal of Fatigue (2022) Vol. 169, pp. 107481-107481
Closed Access | Times Cited: 25
A novel defect-based fatigue damage model coupled with an optimized neural network for high-cycle fatigue analysis of casting alloys with surface defect
Tongzhou Gao, Chenhao Ji, Zhixin Zhan, et al.
International Journal of Fatigue (2023) Vol. 170, pp. 107538-107538
Closed Access | Times Cited: 15
Research on fatigue reliability assessment of engine cylinder head based on neural network
Guoxi Jing, Shubo Li, Sen Xiao, et al.
International Journal of Fatigue (2023) Vol. 175, pp. 107800-107800
Closed Access | Times Cited: 15
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
A non-ordinary state-based peridynamic model for creep–fatigue behavior and damage evolution
Han Dong, Han Wang, Weizhe Wang, et al.
International Journal of Fatigue (2024) Vol. 184, pp. 108324-108324
Closed Access | Times Cited: 4
Effect of stress ratio and overload on mixed-mode crack propagation behaviour of EA4T steel
Shuancheng Wang, Bing Yang, Shuwei Zhou, et al.
Engineering Fracture Mechanics (2024) Vol. 306, pp. 110210-110210
Closed Access | Times Cited: 4
BPNN-Assisted Restoration of Buckling Resistance of Dented Torispherical Heads Using CFRP
Ming Zhan, Hao Wang, Wenwei Wu, et al.
International Journal of Pressure Vessels and Piping (2025), pp. 105428-105428
Closed Access
Influence of parameter uncertainty upon complexity of creep behavior of P91 steel
Siyu Ren, Xinbao Liu, Lin Zhu, et al.
International Journal of Pressure Vessels and Piping (2025) Vol. 214, pp. 105436-105436
Closed Access
Discovering chemistry to creep rupture equations in Alloy 617 with machine learning
Md Abir Hossain, Liangyan Hao, Wei Xiong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Creep‐Fatigue Life Prediction of 316H Stainless Steel through Physics‐Informed Data‐Driven Models
Lianyong Xu, Huiqiang Jia, Lei Zhao, et al.
Advanced Engineering Materials (2025)
Closed Access
A Novel Physical Neural Network Based on Transformer Framework for Multiaxial Fatigue Life Prediction
Rui Pan, Jianxiong Gao, Yiping Yuan, et al.
Fatigue & Fracture of Engineering Materials & Structures (2025)
Open Access
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