Wang, J., Li, L., & Wang, H. (2022). Machine learning concept in de-spiking process for nuclear resonant vibrational spectra – Automation using no external parameter. Vibrational Spectroscopy, 119. https://doi.org/10.1016/j.vibspec.2022.103352
ISO-690 (author-date, English)WANG, Jessie, LI, Lei and WANG, Hongxin, 2022. Machine learning concept in de-spiking process for nuclear resonant vibrational spectra – Automation using no external parameter. Vibrational Spectroscopy. 1 March 2022. Vol. 119, , . DOI 10.1016/j.vibspec.2022.103352.
Modern Language Association 9th editionWang, J., L. Li, and H. Wang. “Machine Learning Concept in De-Spiking Process for Nuclear Resonant Vibrational Spectra – Automation Using No External Parameter”. Vibrational Spectroscopy, vol. 119, Mar. 2022, https://doi.org/10.1016/j.vibspec.2022.103352.
Mohr Siebeck - Recht (Deutsch - Österreich)Wang, Jessie/Li, Lei/Wang, Hongxin: Machine learning concept in de-spiking process for nuclear resonant vibrational spectra – Automation using no external parameter, Vibrational Spectroscopy 2022,
Emerald - HarvardWang, J., Li, L. and Wang, H. (2022), “Machine learning concept in de-spiking process for nuclear resonant vibrational spectra – Automation using no external parameter”, Vibrational Spectroscopy, Vol. 119, available at:https://doi.org/10.1016/j.vibspec.2022.103352.