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- [4] Corrigendum to Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime [Int. J. Fatigue 172 (2023) 107645] (International Journal of Fatigue (2023) 172, (S0142112323001469), (10.1016/j.ijfatigue.2023.107645)) International Journal of Fatigue, 2023, 176
- [5] Retraction notice to Reliability analysis of fatigue crack growth for rail steel under variable amplitude service loading conditions and wear [Int. J. Fatigue 152 (2021) 106450] (International Journal of Fatigue (2021) 152, (S0142112321003091), (10.1016/j.ijfatigue.2021.106450)) International Journal of Fatigue, 183