APA (7th ed.) Citation

Wang, J., Tang, K., Wang, J., Gu, M., & Li, Y. (2026). Machine learning and numerical simulation based prediction of the penetration efficiency of depleted uranium long-rod projectiles: A multi-factor analysis. International Journal of Impact Engineering, 209, N.PAG. https://doi.org/10.1016/j.ijimpeng.2025.105534

Chicago Style (17th ed.) Citation

Wang, Ji-rui, Kui Tang, Jin-xiang Wang, Min-hui Gu, and Yuan-bo Li. "Machine Learning and Numerical Simulation Based Prediction of the Penetration Efficiency of Depleted Uranium Long-rod Projectiles: A Multi-factor Analysis." International Journal of Impact Engineering 209 (2026): N.PAG. https://doi.org/10.1016/j.ijimpeng.2025.105534.

MLA (9th ed.) Citation

Wang, Ji-rui, et al. "Machine Learning and Numerical Simulation Based Prediction of the Penetration Efficiency of Depleted Uranium Long-rod Projectiles: A Multi-factor Analysis." International Journal of Impact Engineering, vol. 209, 2026, p. N.PAG, https://doi.org/10.1016/j.ijimpeng.2025.105534.