以第一或通讯作者发表学术论文100余篇，其中SCI论文50余篇。10篇代表性论文如下：
代表性论文1，Chen C F*, Liu Y, Li Y, Chen D. Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization. International Journal of Applied Earth Observation and Geoinformation, 2024, 129: 103843.
代表性论文2，Chen C F*, He Q, Li Y. Downscaling and merging multiple satellite precipitation products and gauge observations using random forest with the incorporation of spatial autocorrelation. Journal of Hydrology, 2024, 632: 130919.
代表性论文3，Chen C F*, Wu H, Yang Z, Li Y. Adaptive coarse-to-fine clustering and terrain feature-aware-based method for reducing LiDAR terrain point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 200: 89-105.
代表性论文4，Chen C F*, Gao Y, Li Y, Bei Y. Structure tensor-based interpolation for the derivation of accurate digital elevation models. CATENA, 2022, 208: 105733.
代表性论文5，Chen C F*, Bei Y, Li Y, Zhou W. Effect of interpolation methods on quantifying terrain surface roughness under different data densities. Geomorphology, 2022, 417: 108448.
代表性论文6，Chen C F*, Hu B, Li Y. Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy. Hydrology and Earth System Sciences, 2021, 25(11): 5667-5682.
代表性论文7，Chen C F*, Li Y Y, Zhao N, Yan C Q. Robust interpolation of DEMs from Lidar-derived elevation data. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(2): 1059 - 1068.
代表性论文8，Chen C F*, Liu F Y, Li Y Y, Yan C Q, Liu G L. A robust interpolation method for constructing digital elevation models from remote sensing data. Geomorphology, 2016, 268: 275-287.
代表性论文9，Chen C F*, Yan C Q, Cao X W, Guo J Y, Dai H L. A greedy-based multiquadric method for LiDAR-derived ground data reduction. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 102: 110-121.
代表性论文10，Chen C F*, Li Y Y, Li W, Dai H L. A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 2013, 82: 1-9.
