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代表性论著 1.Lv, Q., Chen, Z*. et al; 2025. Increasing severity of large-scale fires prolongs recovery time of forests globally since 2001. Nature Ecology & Evolution
2.Gao, B, Yang, J., Chen, Z*. et al. 2023. Geographical Convergent Cross Mapping (GCCM): Inferring causal associations from cross-sectional Earth System data. Nature Communications. 14, 5875.
3.Gao, B., Li, M., Wang, J., Chen, Z*. 2022. Temporally or spatially? Causation inference in Earth System Sciences. Science Bulletin 67, 232-235.
4.Zhang,C., Chen, Z*. et al. 2024. Mapping urban construction sites in China through geospatial data fusion: Methods and applications. Remote Sensing of Environment. 315, 114441.
5.Chen,J., Lv, Q., Wu, S., Zeng, Y., Li, M., Chen,Z*., et al. 2023. An adapted hourly Himawari-8 fire product for China:principle, methodology and verification. Earth System Science Data. 15(5):1911-1931
6.Chen, Z., Chen, D., Zhao, C., Kwan, M., Cai, J., Zhuang, Y., Zhao, B., Wang, X., Chen, B., Yang, J., Li, R., He, B., Gao, B., Wang, K., Xu, B. Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism. Environment International, 2020, 139: 105558.
7.Chen, J., Yao, Q., Chen, Z*. et al. 2022. The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation. Earth System Science Data 14(8):3489-3508.
8.Chen, Z., Chen, D., et al. Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism. Environment International, 2020, 139: 105558.
9.Li, R., Xu, M., Li, M., Chen, Z.*, et al., 2021. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis. Atmospheric Chemistry and Physics. 21(20):15631-15646
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