APA (7th ed.) Citation

Zhou, P., Chen, S., Li, Y., & Li, Y. (2026). Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate. PLoS ONE, 21(4), 1. https://doi.org/10.1371/journal.pone.0348085

Chicago Style (17th ed.) Citation

Zhou, Peng, Sitong Chen, Yingli Li, and Yan Li. "Machine Learning Identifies Pupil Size and Corneal Thickness as Key Predictors of Axial Elongation Rate." PLoS ONE 21, no. 4 (2026): 1. https://doi.org/10.1371/journal.pone.0348085.

MLA (9th ed.) Citation

Zhou, Peng, et al. "Machine Learning Identifies Pupil Size and Corneal Thickness as Key Predictors of Axial Elongation Rate." PLoS ONE, vol. 21, no. 4, 2026, p. 1, https://doi.org/10.1371/journal.pone.0348085.