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:
An investigation of artificial neural network structure and its effects on the estimation of the low‐cycle fatigue parameters of various steels
Mehmet Alperen Soyer, Nail Tüzün, Özler Karakaş, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 8, pp. 2929-2948
Open Access | Times Cited: 12
Mehmet Alperen Soyer, Nail Tüzün, Özler Karakaş, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 8, pp. 2929-2948
Open Access | Times Cited: 12
Showing 12 citing articles:
A data-driven low-cycle fatigue life prediction model for nickel-based superalloys
Luopeng Xu, Rulun Zhang, Mengquan Hao, et al.
Computational Materials Science (2023) Vol. 229, pp. 112434-112434
Closed Access | Times Cited: 14
Luopeng Xu, Rulun Zhang, Mengquan Hao, et al.
Computational Materials Science (2023) Vol. 229, pp. 112434-112434
Closed Access | Times Cited: 14
Analytical solution for the structural strain parameter of power-law hardening materials to evaluate low- and high-cycle fatigue life of welded components
Linsen Lei, Mingjiang Xie, Tian Lan, et al.
Engineering Fracture Mechanics (2025), pp. 110824-110824
Closed Access
Linsen Lei, Mingjiang Xie, Tian Lan, et al.
Engineering Fracture Mechanics (2025), pp. 110824-110824
Closed Access
Machine learning methods to predict the fatigue life of selectively laser melted Ti6Al4V components
Alessio Centola, Alberto Ciampaglia, Andrea Tridello, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 11, pp. 4350-4370
Open Access | Times Cited: 12
Alessio Centola, Alberto Ciampaglia, Andrea Tridello, et al.
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 11, pp. 4350-4370
Open Access | Times Cited: 12
Analytical Solution for the Structural Strain Parameter of Simplified Ramberg-Osgood Relationship to Evaluate Low-and High-Cycle Fatigue Life of Welded Components
Mingjiang Xie, Xianjun Pei
(2025)
Closed Access
Mingjiang Xie, Xianjun Pei
(2025)
Closed Access
Prediction and optimization of performance parameters of solar collectors with flat and porous plates using ANN and RSM: Case study of Shahrekord, Iran
Armita Soleimani Ghalati, Ali Maleki, Shahin Besharati, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104719-104719
Open Access | Times Cited: 2
Armita Soleimani Ghalati, Ali Maleki, Shahin Besharati, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104719-104719
Open Access | Times Cited: 2
Artificial Neural Network-Based Prediction of the Extreme Response of Floating Offshore Wind Turbines under Operating Conditions
Wang Ke-lin, Oleg Gaidai, Fang Wang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1807-1807
Open Access | Times Cited: 5
Wang Ke-lin, Oleg Gaidai, Fang Wang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1807-1807
Open Access | Times Cited: 5
Physical hierarchical neural network for low cycle fatigue life prediction of compacted graphite cast iron based on small data
Guoxi Jing, Tian Ma, Zengquan Wang, et al.
International Journal of Fatigue (2024) Vol. 188, pp. 108509-108509
Closed Access | Times Cited: 1
Guoxi Jing, Tian Ma, Zengquan Wang, et al.
International Journal of Fatigue (2024) Vol. 188, pp. 108509-108509
Closed Access | Times Cited: 1
A modified physics-informed neural network to fatigue life prediction of deck-rib double-side welded joints
Xincheng Li, Zhongqiu Fu, Jiakai Shu, et al.
International Journal of Fatigue (2024) Vol. 189, pp. 108566-108566
Closed Access | Times Cited: 1
Xincheng Li, Zhongqiu Fu, Jiakai Shu, et al.
International Journal of Fatigue (2024) Vol. 189, pp. 108566-108566
Closed Access | Times Cited: 1
Prediction of Rubber Fatigue Life Using an Assimilation‐based Learning Approach and Incremental Crack Propagation Model
Congzhuo Fang, Yanfu Chen, Zihao Yang, et al.
Fatigue & Fracture of Engineering Materials & Structures (2024)
Open Access
Congzhuo Fang, Yanfu Chen, Zihao Yang, et al.
Fatigue & Fracture of Engineering Materials & Structures (2024)
Open Access
Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling
Wei‐Qiang Feng, Meysam Bayat, Zohreh Mousavi, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-30
Open Access
Wei‐Qiang Feng, Meysam Bayat, Zohreh Mousavi, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-30
Open Access
Prediction of Normalized Shear Modulus and Damping Ratio for Granular Soils Over a Wide Strain Range Using Deep Neural Network Modelling
Meysam Bayat, Zohreh Mousavi, Aiguo Li, et al.
Research Square (Research Square) (2023)
Open Access
Meysam Bayat, Zohreh Mousavi, Aiguo Li, et al.
Research Square (Research Square) (2023)
Open Access
Impact of earthquake’s epicenter distance to failure of the embankment – A seismic prediction
Abdoullah Namdar, Omer Mughieda, Ts Haji Azahar Bin Mohd Yasin, et al.
Frattura ed Integrità Strutturale (2023) Vol. 18, Iss. 67, pp. 118-136
Open Access
Abdoullah Namdar, Omer Mughieda, Ts Haji Azahar Bin Mohd Yasin, et al.
Frattura ed Integrità Strutturale (2023) Vol. 18, Iss. 67, pp. 118-136
Open Access
