APA (7th ed.) Citation

Li, J., Shao, Y., Yao, Y., Yu, Y., Cao, G., Zou, H., & Yan, Y. (2020, April). A novel quality evaluation method for magnolia bark using electronic nose and colorimeter data with multiple statistical algorithms. Journal of Traditional Chinese Medical Sciences.

Chicago Style (17th ed.) Citation

Li, Jiahui, Yuanyang Shao, Yuebao Yao, Yuetong Yu, Guangzhao Cao, Huiqin Zou, and Yonghong Yan. "A Novel Quality Evaluation Method for Magnolia Bark Using Electronic Nose and Colorimeter Data with Multiple Statistical Algorithms." Journal of Traditional Chinese Medical Sciences Apr. 2020.

MLA (9th ed.) Citation

Li, Jiahui, et al. "A Novel Quality Evaluation Method for Magnolia Bark Using Electronic Nose and Colorimeter Data with Multiple Statistical Algorithms." Journal of Traditional Chinese Medical Sciences, Apr. 2020.