代表性论文1，Seafloor topography inversion from multi-source marine gravity data using multi-channel convolutional neural network. Engineering Applications of Artificial Intelligence, 2025, 139:109567【SCI JIF=7.5】；
代表性论文2，The SDUST2022GRA global marine gravity anomalies recovered from radar and laser altimeter data: contribution of ICESat-2 laser altimetry. Earth System Science Data, 2024, 16(9):4119-4135【SCI JIF=11.2】；
代表性论文3，Height variations in the Mississippi River basin from daily time-varying satellite gravity data and hydrological model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17:9846-9857【SCI JIF=4.7】；
代表性论文4，Geodetic analysis of orthometric height variations in mainland China using GRACE, hydrological models and GPS data. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:4504815【SCI JIF=7.5】；
代表性论文5，SDUST2020MGCR: a global marine gravity change rate model determined from multi-satellite altimeter data. Earth System Science Data, 2024, 16(5):2281-2296【SCI JIF=11.2】；
代表性论文6，SDUST2020MSS: A global 1′×1′ mean sea surface model determined from multi-satellite altimetry data. Earth System Science Data, 2023, 15:155-169【SCI JIF=11.4】；
代表性论文7，Recovering gravity from satellite altimetry data using deep learning network. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:5911311【SCIJIF=8.2】；
代表性论文8，Bathymetry of the Gulf of Mexico predicted with multilayer perception from multisource marine geodetic data. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:4208911【SCI JIF=8.2】；
代表性论文9，SDUST2021GRA: Global marine gravity anomaly model recovered from Ka-band and Ku-band satellite altimeter data. Earth System Science Data, 2022, 14(10):4589-4606【SCI IF=11.815】；
代表性论文10，Improved gravity-geologic method reliably removing the long-wavelength gravity effect of regional seafloor topography: A case of bathymetric prediction in the South China Sea. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:4211912【SCI JIF=8.125】。
