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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:

A novel generalization ability-enhanced approach for corrosion fatigue life prediction of marine welded structures
Chao Feng, Molin Su, Lianyong Xu, et al.
International Journal of Fatigue (2022) Vol. 166, pp. 107222-107222
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review
Hao Wang, Shanglin Gao, Boyi Wang, et al.
Journal of Material Science and Technology (2024) Vol. 198, pp. 111-136
Closed Access | Times Cited: 31
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 22
LBE corrosion fatigue life prediction of T91 steel and 316 SS using machine learning method assisted by symbol regression
Shaowu Feng, Xingyue Sun, Gang Chen, et al.
International Journal of Fatigue (2023) Vol. 177, pp. 107962-107962
Closed Access | Times Cited: 26
Generalizing multiaxial vibration fatigue criteria in the frequency domain: A data-driven approach
Xianjun Pei, Yuda Cao, Tang Gu, et al.
International Journal of Fatigue (2024) Vol. 186, pp. 108390-108390
Closed Access | Times Cited: 12
Corrosion fatigue mechanisms and evaluation methods of high‐strength steel wires: A state‐of‐the‐art review
Zhiyu Jie, Zenghui Zhang, Luca Susmel, et al.
Fatigue & Fracture of Engineering Materials & Structures (2024) Vol. 47, Iss. 7, pp. 2287-2318
Open Access | Times Cited: 10
Prediction of flood risk levels of urban flooded points though using machine learning with unbalanced data
Hongfa Wang, Yu Meng, Hongshi Xu, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130742-130742
Closed Access | Times Cited: 9
Estimation of fatigue life of welded structures incorporating importance analysis of influence factors: A data-driven approach
Chao Feng, Molin Su, Lianyong Xu, et al.
Engineering Fracture Mechanics (2023) Vol. 281, pp. 109103-109103
Closed Access | Times Cited: 20
Prediction of welded joint fatigue properties based on a novel hybrid SPDTRS-CS-ANN method
Chao Feng, Lianyong Xu, Lei Zhao, et al.
Engineering Fracture Mechanics (2022) Vol. 275, pp. 108824-108824
Closed Access | Times Cited: 22
Investigation of Tensile, Fatigue Crack Growth Behavior and Prediction Model of EH36 Welded Joints
Molin Su, W M Liu, Hong Yan, et al.
Journal of Materials Research and Technology (2025)
Open Access
A novel grey box model for ship fuel consumption prediction adapted to complex navigating conditions
Ailong Fan, Yifu Wang, Yang Liu, et al.
Energy (2025), pp. 134436-134436
Closed 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
Data-driven approach to structural analysis of shaft steelwork under corrosion
Jacek Jakubowski, Przemysław Fiołek
Engineering Structures (2023) Vol. 281, pp. 115741-115741
Closed Access | Times Cited: 8
A generalization ability-enhanced image recognition based multiaxial fatigue life prediction method for complex loading conditions
Tianguo Zhou, Xingyue Sun, Zhen Yu, et al.
Engineering Fracture Mechanics (2023) Vol. 295, pp. 109802-109802
Closed Access | Times Cited: 8
A State‐of‐Art Review on Prediction Model for Fatigue Performance of Welded Joints via Data‐Driven Method
Chao Feng, Lianyong Xu, Lei Zhao, et al.
Advanced Engineering Materials (2023) Vol. 25, Iss. 9
Closed Access | Times Cited: 7
A post‐processing procedure for predicting high‐ and low‐cycle fatigue life of welded structures based on the master E–N curve
Xiaochao Liu, Linsen Lei, Shizhu Xing, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 9, pp. 3387-3403
Closed Access | Times Cited: 6
A unified prediction approach of fatigue life suitable for diversified engineering materials
Chao Feng, Molin Su, Lianyong Xu, et al.
Engineering Fracture Mechanics (2023) Vol. 290, pp. 109478-109478
Closed Access | Times Cited: 5
Fatigue Assessment Comparison between a Ship Motion-Based Data-Driven Model and a Direct Fatigue Calculation Method
Xiao Lang, Da Wu, Wuliu Tian, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2269-2269
Open Access | Times Cited: 4
Effect of Corrosion Environment on Fatigue Crack Growth Behavior of Marine Steels
Lei Tian, Molin Su, Chao Feng, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 1
Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments
Dayu Fajrul Falaakh, Jongweon Cho, Chi Bum Bahn
Theoretical and Applied Fracture Mechanics (2024) Vol. 133, pp. 104499-104499
Closed Access | Times Cited: 1
A physics-informed deep learning approach for combined cycle fatigue life prediction
Chao Feng, Zhiping Long, Molin Su, et al.
Journal of Constructional Steel Research (2024) Vol. 222, pp. 109000-109000
Closed Access | Times Cited: 1
Experimental analysis of S–N curves of welded joints with different fatigue life extension approaches
Lei Tian, Chao Feng, Molin Su, et al.
Materials Testing (2024) Vol. 66, Iss. 7, pp. 976-991
Closed Access
Research on the prediction method of corrosion fatigue crack extension rate of aluminum alloy based on BB-GBRT algorithm
Xueyuan Li, Yongzhen Zhang, Leijiang Yao, et al.
Theoretical and Applied Fracture Mechanics (2024) Vol. 136, pp. 104807-104807
Closed Access
Machine Learning Approach for Predicting and Understanding Fatigue Crack Growth Rate of Austenitic Stainless Steels in High-Temperature Water Environments
Dayu Fajrul Falaakh, Chi Bum Bahn, Jongweon Cho
(2024)
Closed Access
Research on the Prediction Method of Corrosion Fatigue Crack Extension Rate of Aluminum Alloy Based on Bb-Gbrt Algorithm
Xueyuan Li, Yongzhen Zhang, Leijiang YAO, et al.
(2024)
Closed Access
Fatigue Damage Prediction of Subsea Piping: Review and Outlook
Qiao Zhang, Shengnan Wu, Laibin Zhang, et al.
Lecture notes in civil engineering (2024), pp. 294-304
Closed Access
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