Zhou, J.;                     Ran, J.;                     Ren, J.;                     Wang, Y.;                     Xu, Z.;                     Liu, D.;                     Yang, C.    
        Intelligence Approach-Driven Bidirectional Analysis Framework for Efficiency Measurement and Resource Optimization of Forest Carbon Sink in China. Forests 2025, 16, 656.
    https://doi.org/10.3390/f16040656
    AMA Style
    
                                Zhou J,                                 Ran J,                                 Ren J,                                 Wang Y,                                 Xu Z,                                 Liu D,                                 Yang C.        
                Intelligence Approach-Driven Bidirectional Analysis Framework for Efficiency Measurement and Resource Optimization of Forest Carbon Sink in China. Forests. 2025; 16(4):656.
        https://doi.org/10.3390/f16040656
    
    Chicago/Turabian Style
    
                                Zhou, Jianli,                                 Jia Ran,                                 Jiayi Ren,                                 Yaqi Wang,                                 Zihan Xu,                                 Dandan Liu,                                 and Cheng Yang.        
                2025. "Intelligence Approach-Driven Bidirectional Analysis Framework for Efficiency Measurement and Resource Optimization of Forest Carbon Sink in China" Forests 16, no. 4: 656.
        https://doi.org/10.3390/f16040656
    
    APA Style
    
                                Zhou, J.,                                 Ran, J.,                                 Ren, J.,                                 Wang, Y.,                                 Xu, Z.,                                 Liu, D.,                                 & Yang, C.        
        
        (2025). Intelligence Approach-Driven Bidirectional Analysis Framework for Efficiency Measurement and Resource Optimization of Forest Carbon Sink in China. Forests, 16(4), 656.
        https://doi.org/10.3390/f16040656