Arun, A., Guo, Z., Sung, S., & Lapkin, A. A. (2023). Reaction Impurity Prediction using a Data Mining Approach. Chemistry - Methods, 3(6), 1-18. https://doi.org/10.1002/cmtd.202200062
ISO-690 (author-date, English)ARUN, Adarsh, GUO, Zhen, SUNG, Simon und LAPKIN, Alexei A., 2023. Reaction Impurity Prediction using a Data Mining Approach. Chemistry - Methods. 1 Juni 2023. Vol. 3, no. 6, p. 1-18. DOI 10.1002/cmtd.202200062.
Modern Language Association 9th editionArun, A., Z. Guo, S. Sung, und A. A. Lapkin. „Reaction Impurity Prediction Using a Data Mining Approach.“. Chemistry - Methods, Bd. 3, Nr. 6, Juni 2023, S. 1-18, https://doi.org/10.1002/cmtd.202200062.
Mohr Siebeck - Recht (Deutsch - Österreich)Arun, Adarsh/Guo, Zhen/Sung, Simon/Lapkin, Alexei A.: Reaction Impurity Prediction using a Data Mining Approach., Chemistry - Methods 2023, 1-18.
Emerald - HarvardArun, A., Guo, Z., Sung, S. und Lapkin, A.A. (2023), „Reaction Impurity Prediction using a Data Mining Approach.“, Chemistry - Methods, Vol. 3 No. 6, S. 1-18.