American Psychological Association 6th edition

Lei, L., Pang, R., Han, Z., Wu, D., Xie, B., & Su, Y. (2023). Current applications and future impact of machine learning in emerging contaminants: A review. Critical Reviews in Environmental Science & Technology, 53(20), 1817-1835. https://doi.org/10.1080/10643389.2023.2190313

ISO-690 (author-date, English)

LEI, Lang, PANG, Ruirui, HAN, Zhibang, WU, Dong, XIE, Bing und SU, Yinglong, 2023. Current applications and future impact of machine learning in emerging contaminants: A review. Critical Reviews in Environmental Science & Technology. 15 Oktober 2023. Vol. 53, no. 20, p. 1817-1835. DOI 10.1080/10643389.2023.2190313.

Modern Language Association 9th edition

Lei, L., R. Pang, Z. Han, D. Wu, B. Xie, und Y. Su. „Current Applications and Future Impact of Machine Learning in Emerging Contaminants: A Review.“. Critical Reviews in Environmental Science & Technology, Bd. 53, Nr. 20, Oktober 2023, S. 1817-35, https://doi.org/10.1080/10643389.2023.2190313.

Mohr Siebeck - Recht (Deutsch - Österreich)

Lei, Lang/Pang, Ruirui/Han, Zhibang/Wu, Dong/Xie, Bing/Su, Yinglong: Current applications and future impact of machine learning in emerging contaminants: A review., Critical Reviews in Environmental Science & Technology 2023, 1817-1835.

Emerald - Harvard

Lei, L., Pang, R., Han, Z., Wu, D., Xie, B. und Su, Y. (2023), „Current applications and future impact of machine learning in emerging contaminants: A review.“, Critical Reviews in Environmental Science & Technology, Vol. 53 No. 20, S. 1817-1835.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.