Developing a Method to Estimate Maize Area in North and Northeast of China Combining Crop Phenology Information and Time-Series MODIS EVI. - Sha Zhang 001; Jiahua Zhang 001; Yun Bai 005; Lan Xun; Jingwen Wang 002; Da Zhang 005; Shanshan Yang; Jinguo Yuan (IEEE Access, 2019)

Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale. - Yun Bai 005; Sha Zhang 001; Jiahua Zhang 001; Jingwen Wang 002; Shanshan Yang; Vincenzo Magliulo; Luca Vitale; Yanchuang Zhao (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Mapping cotton cultivated area combining remote sensing with a fused representation-based classification algorithm. - Lan Xun; Jiahua Zhang 001; Dan Cao; Jingwen Wang 002; Sha Zhang 001; Fengmei Yao (Comput. Electron. Agric., 2021)

AMFAN: Adaptive Multiscale Feature Attention Network for Hyperspectral Image Classification. - Shichao Zhang 002; Jiahua Zhang 001; Lan Xun; Jingwen Wang 002; Da Zhang 005; Zhenjiang Wu (IEEE Geosci. Remote. Sens. Lett., 2022)

Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region. - Xue Wang; Jiahua Zhang 001; Lan Xun; Jingwen Wang 002; Zhenjiang Wu; Malak Henchiri; Shichao Zhang 002; Sha Zhang 001; Yun Bai 005; Shanshan Yang; Shuaishuai Li; Xiang Yu (Remote. Sens., 2022)

ELS2T: Efficient Lightweight Spectral-Spatial Transformer for Hyperspectral Image Classification. - Shichao Zhang 002; Jiahua Zhang 001; Xiaopeng Wang; Jingwen Wang 002; Zhenjiang Wu (IEEE Trans. Geosci. Remote. Sens., 2023)

Quantitative Assessment of Factors Influencing the Spatiotemporal Variation in Carbon Dioxide Fluxes Simulated by Multi-Source Remote Sensing Data in Tropical Vegetation. - Ruize Xu; Jiahua Zhang 001; Jingwen Wang 002; Fengmei Yao; Sha Zhang 001 (Remote. Sens., 2023)