Practical Dynamical-Statistical Reconstruction of Ocean's Interior from Satellite Observations. - Hengqian Yan; Ren Zhang 004; Huizan Wang; Senliang Bao; Chengzu Bai (Remote. Sens., 2021)

Physics-Based Spatio-Temporal Modeling With Machine Learning for the Prediction of Oceanic Internal Waves. - Song Wu; Xiaojiang Zhang; Wei Dong; Senzhang Wang; Xiaoyong Li 002; Senliang Bao; Kai Li (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Comparative Analysis between Sea Surface Salinity Derived from SMOS Satellite Retrievals and in Situ Measurements. - Haodi Wang; Kaifeng Han; Senliang Bao; Wen Chen; Kaijun Ren (Remote. Sens., 2022)

Correction of Satellite Sea Surface Salinity Products Using Ensemble Learning Method. - Senliang Bao; Ren Zhang 004; Huizan Wang; Hengqian Yan; Jian Chen 016; Yangjun Wang (IEEE Access, 2023)

SE-LeNet: A Data Reconstruction Method for Dissolved Oxygen in Tropical Pacific with Deep Learning. - Ruixin Cao; Shuchang Wang; Senliang Bao; Xiaoyong Li 002; Jiaming Tan; Chengcheng Shao (ISPA, 2024)

Explainable physics-guided attention network for long-lead ENSO forecasts. - Song Wu; Xiaoyong Li 002; Wei Dong; Senliang Bao; Senzhang Wang; Junxing Zhu; Xiaoli Ren; Chengcheng Shao (Inf. Sci., 2025)

Intercomparison of Multisatellite Merged CCI Sea Surface Salinity Product With SMOS, Aquarius, and SMAP. - Juan Dai; Huizan Wang; Senliang Bao; Yu Cao; Hengqian Yan; Kaigui Fan; Conghao Lin; Ciqiang Luo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method. - Zengxin Guan; Kaijun Ren; Senliang Bao; Hengqian Yan; Huizan Wang; Yanlai Zhao; Jianbin Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)