APA (7th ed.) Citation

Chen, Y., Li, S., Jia, J., Sun, C., Cui, E., Xu, Y., . . . Tang, A. FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration. Elsevier.

Chicago Style (17th ed.) Citation

Chen, Ying, Si Li, Jia Jia, Chuanduo Sun, Enzhong Cui, Yunyan Xu, Fangchao Shi, and Anfu Tang. FT-NIR Combined with Machine Learning Was Used to Rapidly Detect the Adulteration of Pericarpium Citri Reticulatae (chenpi) and Predict the Adulteration Concentration. Elsevier.

MLA (9th ed.) Citation

Chen, Ying, et al. FT-NIR Combined with Machine Learning Was Used to Rapidly Detect the Adulteration of Pericarpium Citri Reticulatae (chenpi) and Predict the Adulteration Concentration. Elsevier.