A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks. - Yunfei Li 006; Chenying Liu 001; Lin Yan 005; Jun Li 009; Antonio Plaza; Bo Li 006 (IGARSS, 2019)

Spatio-temporal fusion for remote sensing data: an overview and new benchmark. - Jun Li 009; Yunfei Li 006; Lin He 001; Jin Chen 001; Antonio Plaza (Sci. China Inf. Sci., 2020)

A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks. - Yunfei Li 006; Jun Li 009; Lin He 001; Jin Chen 001; Antonio Plaza (Sci. China Inf. Sci., 2020)

A Extremely Fast Spatio-Temporal Fusion Method for Remotely Sensed Images. - Yunfei Li 006; Jun Li 009; Shaoquan Zhang (IGARSS, 2021)

A Noise Proof Strategy for Spatio-Temporal Fusion of Remote Sensing Imagery. - Yunfei Li 006; Jun Li 009; Antonio Plaza (IGARSS, 2022)

Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization. - Yunfei Li 006; Qian Shi 001; Lin He 001; Runlin Cai; Liangli Meng; Jun Li 009; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Pansharpening-Based Spatio-Temporal Fusion for Predicting Intense Surface Changes. - Yunfei Li 006; Runlin Cai; Jun Li 009; Zhenjie Liu; Liangli Meng; Lin He 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Enhanced Spatiotemporal Fusion via MODIS-Like Images. - Jun Li 009; Yunfei Li 006; Runlin Cai; Lin He 001; Jin Chen 001; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2022)

Removing Influence of MODIS Strip Noise in Spatiotemporal Fusion of Remote Sensing Imagery. - Jiali Li; Yunfei Li 006; Jun Li 009 (IEEE Geosci. Remote. Sens. Lett., 2023)

Occluded Scene Classification via Cascade Supervised Contrastive Learning. - Jianming Xu; Yunfei Li 006; Qian Shi 001; Lin He 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Accelerate spatiotemporal fusion for large-scale applications. - Yunfei Li 006; Liangli Meng; Huaizhang Sun; Qian Shi 001; Jun Li 009; Yaotong Cai (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Large-scale and high-resolution paddy rice intensity mapping using downscaling and phenology-based algorithms on Google Earth Engine. - Liangli Meng; Yunfei Li 006; Ruoque Shen; Yi Zheng; Baihong Pan; Wenping Yuan; Jun Li 009; Li Zhuo 002 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A Novel Multiplatform Spatiotempoal Data Fusion Approach for Remote Sensing Imagery Based on Parameter Selection. - Yunfei Li 006; Jiali Li; Liangli Meng; Zhenjie Liu; Qian Shi 001; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 2024)

HSACT: A hierarchical semantic-aware CNN-Transformer for remote sensing image spectral super-resolution. - Chengle Zhou; Zhi He; Liwei Zou; Yunfei Li 006; Antonio Plaza (Neurocomputing, 2025)

Combining Filling and Fusion Strategies for Generating Synthetic Daily Landsat Time Series Image on Google Earth Engine. - Jiali Li; Xiaoping Liu 001; Yunfei Li 006; Mengwei Liu (IEEE Trans. Geosci. Remote. Sens., 2025)

Low-Rank and Sparse Representation Meet Deep Unfolding: A New Interpretable Network for Hyperspectral Change Detection. - Chengle Zhou; Zhi He; Jian Dong; Yunfei Li 006; Jinchang Ren; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2025)