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For:	Almoosa ASK, Hamzah AE, Zan MSD, Ibrahim MF, Arsad N, Elgaud MM. Improving the Brillouin frequency shift measurement resolution in the Brillouin optical time domain reflectometry (BOTDR) fiber sensor by artificial neural network (ANN). Optical Fiber Technology 2022;70:102860. [DOI: 10.1016/j.yofte.2022.102860] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Almoosa ASK, Hamzah AE, Zan MSD, Ibrahim MF, Arsad N, Elgaud MM. Improving the Brillouin frequency shift measurement resolution in the Brillouin optical time domain reflectometry (BOTDR) fiber sensor by artificial neural network (ANN). Optical Fiber Technology 2022;70:102860. [DOI: 10.1016/j.yofte.2022.102860] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Yin G, Zhu Z, Liu M, Wang Y, Liu K, Yu K, Zhu T. Optical Frequency Domain Reflectometry Based on Multilayer Perceptron. Sensors 2023;23:3165. [DOI: 10.3390/s23063165] [Reference Citation Analysis]
2	Almoosa ASK, Zan MSD, Ibrahim MF, Tanaka Y, Hamzah AE, Arsad N. Fast and accurate Brillouin frequency shift extraction in Brillouin optical time domain reflectometry (BOTDR) distributed fiber sensor by using ensemble machine learning algorithm. J Phys : Conf Ser 2022;2411:012012. [DOI: 10.1088/1742-6596/2411/1/012012] [Reference Citation Analysis]
3	Li M, Xu T, Wang S, Hu W, Jiang J, Liu T. Probe pulse design in Brillouin optical time‐domain reflectometry. IET Optoelectronics. [DOI: 10.1049/ote2.12081] [Reference Citation Analysis]
4	Sanni O, Adeleke O, Ukoba K, Ren J, Jen T. Application of machine learning models to investigate the performance of stainless steel type 904 with agricultural waste. Journal of Materials Research and Technology 2022;20:4487-4499. [DOI: 10.1016/j.jmrt.2022.08.076] [Reference Citation Analysis]