近五年以“方法研究—理论构建—智能服务”为研究主线，开展了遥感大数据智能处理与应用、时空大数据挖掘等方面研究，在RSE、IEEE TGRS、Journal of Hydrology等国际知名期刊发表SCI论文20篇，其中高被引论文2篇；近三年，获得“2019教育部科技进步一等奖（排名10/12）”、“2022年教育部科技进步二等奖(排名5/12)”、“省百篇优秀硕士学位论文奖（排名1）”、“国家科技部精品期刊顶尖学术论文奖（排名1）”等科技奖励；主持和参与国家重点研发计划、国家自然基金、高分重大专项项目等10项。

代表性论文

[1] Chen Y, Weng Q, Tang L, et al. Developing an Intelligent Cloud Attention Network to Support Global Urban Green Spaces Mapping[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 198(5):1-15.(SCI, 中科院1区 Top，IF=12.7, 高被引)
[2] Chen Y, Weng Q, Tang L, et al. Thick Clouds Removing From Multitemporal Landsat Images Using Spatiotemporal Neural Networks [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022,69(01):1-14.(SCI, 中科院1区，IF=8.127，高被引)
[3] Chen Y, Weng Q, Tang L, et al. Automatic mapping of urban green spaces using a geospatial neural network [J]. GIScience & Remote Sensing, 2021, 23(5),324-336.(SCI, 中科院1区，IF= 6.238)
[4] Chen Y, Tang L, Kan Z, et al. A novel water body extraction neural network (WBE-NN) for optical high-resolution multispectral imagery [J]. Journal of Hydrology, 2020,588(9), 125092. (SCI, 中科院1区，IF= 6.708)
[5] Chen Y, Tang L, Yang X, et al. Object-based multi-modal convolution neural networks for building extraction using panchromatic and multispectral imagery[J]. Neurocomputing, 2020,386(4), 136-146. (SCI, 中科院2区Top，IF= 5.719)
[6] Chen Y, Tang L, Yang X, et al. Thick Clouds Removal From Multitemporal ZY-3 Satellite Images Using Deep Learning[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13(2), 143-153. (SCI, 中科院2区，IF=5.5)
[7] Chen Y, Weng Q, Tang L, et al. An Automatic Cloud Detection Neural Network for High-Resolution Remote Sensing Imagery With Cloud-Snow Coexistence [J]. IEEE Geoscience and Remote Sensing Letters, 2022,13(02),1-5.(SCI, 中科院2区，IF=5.352)