Uncertainty analysis of ship model resistance test in actual seas，《Brodogradnja》，2020年12月，71(4)：81-94，SCI：000616547200006
Prediction of Self-Propulsion Performance of Ship Model with Double L-Type Podded Propulsors and Conversion Method for Full-Scale Ship，《Journal of Marine Science and Engineering》，2019年5月，7(5): 162，SCI：000470965000042
Hydrodynamic Interactions Between Bracket and Propeller of Podded Propulsor Based on Particle Image Velocimetry Test，《Water》，2019年6月，11(6):1142，SCI：000475346300030
Hydrodynamic Performance of Ichthyoid Rudder at Different Rudder Angle Settings，《Journal of Coastal Research》，2016年9月，32(5): 1184-1195，SCI：000383303700018
Numerical Study on the Unsteady Hydrodynamic Performance of a Four-Propeller Propulsion System Undergoing Oscillatory Motions，《Journal of Coastal Research》，2017年3月，33(2): 347-358，SCI：000397355700011
Method for the Calculation of the Underwater Effective Wake Field for Propeller Optimization，《Water》，2019年1月，11(1):1-11，SCI：000459735100163
Analysis of Hydrodynamic Performance of L-type Podded Propulsion with Oblique Flow Angle，《Journal of Marine Science and Engineering》，2019年2月，7(2): 1-20，SCI：000460894600032
Experimental–numerical analysis of added resistance to container ships under presence of wind–wave loads，《PLOS ONE》，2019年8月，14(8):1-29，SCI：000485026800057
Numerically Modeling the Effect of Flexibility on Flow around Marine Engineering Structures: Using the Shape of the Saguaro Cactus，《Journal of Coastal Research》，2020年5月，36(3):628-635，SCI：000529377800018
Propulsion performance of large-scale ship model in real sea environment，《Ocean Engineering》，2020年8月，210，SCI：000551161000016
Uncertainty Analysis of Ship Model Propulsion Test on Actual Seas Based on Monte Carlo Method，《Journal of Marine Science and Engineering》，2020年6月，8(6)：1-16，SCI：000553927400001
Influence of a pre-swirl stator and rudder bulb system on the propulsion performance of a large-scale ship model，《Ocean Engineering》，2020年12月，218，SCI：000598977600062
Real-time prediction of large-scale ship model vertical acceleration based on recurrent neural network，《Journal of Marine Science and Engineering》，2020年10月，8(10)：1-11，SCI：000585206400001
Comprehensive test system for ship-model resistance and propulsion performance in actual seas，《Ocean Engineering》，020年2月，197，SCI：000534602400069
