6 citations as recorded by crossref.

1. Fatigue modeling using neural networks: A comprehensive review J. Chen & Y. Liu https://doi.org/10.1111/ffe.13640
2. Surface Mechanical Property Prediction and Process Optimization of 18CrNiMo7-6 Carburized Steel Stator Guide Based on Radial Basis Function Neural Network and NSGA-II Algorithm C. Li et al. https://doi.org/10.3390/coatings14111369
3. Effects of quenching medium and tempering temperature on microstructures, mechanical properties, and fatigue behavior of EA4T steel Z. Yao et al. https://doi.org/10.1016/j.ijfatigue.2022.107179
4. Analysis of Fatigue Property of the Aviation Gear Steel 15Cr14Co12Mo5Ni2 During High-Temperature Carburizing and Quenching W. Feng et al. https://doi.org/10.3390/ma19102151
5. A Deep Neural Network Method for LCF Life Prediction of Metal Materials with Small Sample Experimental Data H. Yang et al. https://doi.org/10.1007/s12540-023-01601-9
6. Effect of Nb addition on fatigue properties of V-bearing medium carbon quenched and tempered steels E. Alan https://doi.org/10.35860/iarej.1703693