Name: Yaqing SHU
Department/Institute: Department of Ocean Engineering
Position:
Title: Professor
Email: [email protected]
Address: Maritime Building, Meishan Campus, Ningbo University, No. 169 Qixing South Road, Meishan Street, Beilun District, Ningbo, Zhejiang Province, China
Research Fields
· Intelligent ship navigation
· Ship AIS data mining
· Ship pollution prevention
· Arctic shipping
· Green shipping
Personal Profile
Prof. Shu is a Full Professor at Ningbo University, Doctoral Supervisor, and Ningbo Leading Talent. He received the Ph.D. degree in the department of Transport and Planning from Delft University of Technology in 2019. He is currently a Full Professor at Ningbo University. He chaired and participated in 30 national and provincial grants and has published over 90 SCI articles. His research interests include intelligent ship navigation and green shipping. He serves as the Executive Editor of Ocean and Coastal Management and Deputy Editor of Ocean Engineering.
Personal page:
Google Scholar：//scholar.google.com/citations?user=Q1iJsvgAAAAJ&hl=zh-CN&oi=ao
Scopus database：//www.scopus.com/authid/detail.uri?authorId=57211338936
Selected papers:
[1] Zhang, X., Gan, L., Cui, H., Shu, Y*., Montewka, J., Yang, Z. (2026). A hybrid deep learning and large language models framework for ship collision accident analysis. Reliability Engineering & System Safety, 112333, 2026.
[2] Zhu, K., Liu, J., Shu, Y*. (2026). A geometry consistent model for evaluating ship damaged stability at arbitrary attitudes based on the Quasi-Bonjean and the NSGA-II method. Ocean Engineering 351, 124405, 2026.
[3] Gan, L., Wu, Y., Zhang, X., Liu, Z., Shu, Y*. (2026). Unsupervised video stitching for panoramic monitoring of unmanned surface vessels in inland waters. Ocean Engineering, 346, 123856. (SCI, JCR Q1)
[4] Shu, Y., Cai, Y., Liu, K., Gan, L., Song, L., Yang. Z. (2025). Algorithmic synergy in green shipping for joint path-speed optimization under dynamic ocean conditions. Regional Studies in Marine Science, 104583. (SCI, JCR Q1)
[5] Shu, Y., Dong, A., Liu, C., Gan, L., Song, L. (2025). Anomaly detection of ship behavior based on deep neural networks. Reliability Engineering & System Safety, 111801. (SCI, JCR Q1)
[6] Liu, Z., Deng, J., Shu, Y*, Gan, L., Song, L., Li, H., Yang, Z. Spatiotemporal prediction of offshore wind fields based on a hybrid deep learning model for maritime navigation. Ocean & Coastal Management, 269, 107841. (SCI, JCR Q1)
[7] Gan, L., Gao, Z., Zhang, X., Xu, Y., Liu, R.W., Xie, C., Shu, Y*. (2025). Graph neural networks enabled accident causation prediction for maritime vessel traffic. Reliability Engineering & System Safety, 257, 110804. (SCI, JCR Q1, ESI highly cited)
[8] Shu, Y., Huang, F., Wu, J., Chen, J., Song, L., Gan, L., Yang, Z. (2025). Research on Ship Following Behavior Based on Data Mining in Arctic Waters. IEEE Transactions on Intelligent Transportation Systems. (SCI, JCR Q1)
[9] Liu, H., Wu, C., Li, B., Zong, Z., Shu, Y*. (2025). Research on Ship Anomaly Detection Algorithm Based on Transformer-GSA Encoder. IEEE Transactions on Intelligent Transportation Systems. (SCI, JCR Q1)
[10] Duan, K., Dong, S., Fan, Z., Zhang, S., Shu, Y.*, Liu, M. (2025). Multimode trajectory tracking control of Unmanned Surface Vehicles based on LSTM assisted Model Predictive Control. Ocean Engineering 328, 121015. (SCI, JCR Q1)
[11] Shu, Y., Dong, A., Ye, B., Liu, C., Gan, L., Song, L. (2025). Liability division for ship collision accidents based on ontology model and bayesian network. Ocean & Coastal Management 269, 107824. (SCI, JCR Q1)
[12] Gan, L., Zheng, L., Song, L., Cui, H., Shu, Y.*, Yang, Z. (2025). A multi-vector-field based inland ship path planning using an anisotropic fast marching method. Ocean Engineering 331, 121303. (SCI, JCR Q1)
[13] Liu, Z., Deng, J., Shu, Y.*, Gan, L., Song, L., Li, H., Yang, Z. (2025). Spatiotemporal prediction of offshore wind fields based on a hybrid deep learning model for maritime navigation. Ocean & Coastal Management 269, 107841. (SCI, JCR Q1)
[14] Gan, L, Li, X, Yan, T, Song, L, Xiao, J, Shu, Y*. (2025). Intelligent ship path planning based on improved artificial potential field in narrow inland waterways. Ocean Engineering, 317, 119928. (SCI, JCR Q1)
[15] Shu, Y, Han, B, Song, L, Yan, T, Gan, L, Zhu, Y, Zheng, C. (2024). Analyzing the spatio-temporal correlation between tide and shipping behavior at estuarine port for energy-saving purposes. Applied Energy, 367, 123382. (SCI, JCR Q1, ESI highly cited)
[16] Shu, Y, Xiong, C, Zhu, Y, Liu, K, Liu, RW, Xu, F, Gan, L, Zhang, L.(2024). Reference path for ships in ports and waterways based on optimal control. Ocean & Coastal Management, 253, 107168. (SCI, JCR Q1, ESI highly cited)
[17] Duan, K, Huang, F, Zhang, S, Shu, Y*, Dong, S, Liu, M. (2024). Prediction of ship following behavior in ice-covered waters in the Northern Sea Route based on hybrid theory and data-driven approach. Ocean Engineering, 296, 116939. (SCI, JCR Q1)
[18] Shu, Y, Cui, H, Song, L, Gan, L, Xu, S, Wu, J, Zheng, C. (2024). Influence of sea ice on ship routes and speed along the Arctic Northeast Passage. Ocean & Coastal Management, 256, 107320. (SCI, JCR Q1)