APA (7th ed.) Citation

Wu, D., Ye, Z., Liang, H., Gu, Q., Cai, G., Lin, Y., . . . Li, Q. (2025). From leaf to blend: CNN-enhanced multi-source feature fusion enables threshold-driven style control in digital tobacco formulation. Biotechnology for Biofuels & Bioproducts, 18(1), 1. https://doi.org/10.1186/s13068-025-02706-6

Chicago Style (17th ed.) Citation

Wu, Di, et al. "From Leaf to Blend: CNN-enhanced Multi-source Feature Fusion Enables Threshold-driven Style Control in Digital Tobacco Formulation." Biotechnology for Biofuels & Bioproducts 18, no. 1 (2025): 1. https://doi.org/10.1186/s13068-025-02706-6.

MLA (9th ed.) Citation

Wu, Di, et al. "From Leaf to Blend: CNN-enhanced Multi-source Feature Fusion Enables Threshold-driven Style Control in Digital Tobacco Formulation." Biotechnology for Biofuels & Bioproducts, vol. 18, no. 1, 2025, p. 1, https://doi.org/10.1186/s13068-025-02706-6.