| Risk assessment of the operations of maritime autonomous surface ships CH Chang, C Kontovas, Q Yu, Z Yang Reliability Engineering & System Safety 207, 107324, 2021 | 164 | 2021 |
| A systematic analysis for maritime accidents causation in Chinese coastal waters using machine learning approaches K Liu, Q Yu, Z Yuan, Z Yang, Y Shu Ocean & Coastal Management 213, 105859, 2021 | 82 | 2021 |
| An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning Q Yu, ÂP Teixeira, K Liu, H Rong, CG Soares Reliability Engineering & System Safety 216, 107993, 2021 | 76 | 2021 |
| Realising advanced risk assessment of vessel traffic flows near offshore wind farms Q Yu, K Liu, CH Chang, Z Yang Reliability Engineering & System Safety 203, 107086, 2020 | 76 | 2020 |
| GIS aided sustainable urban road management with a unifying queueing and neural network model H Bi, WL Shang, Y Chen, K Wang, Q Yu, Y Sui Applied Energy 291, 116818, 2021 | 64 | 2021 |
| Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning Q Yu, K Liu, Z Yang, H Wang, Z Yang Reliability Engineering & System Safety 210, 107474, 2021 | 51 | 2021 |
| Assessment of the influence of offshore wind farms on ship traffic flow based on AIS data Q Yu, K Liu, AP Teixeira, CG Soares The Journal of Navigation 73 (1), 131-148, 2020 | 48 | 2020 |
| Using Bayesian network-based TOPSIS to aid dynamic port state control detention risk control decision Z Yang, C Wan, Z Yang, Q Yu Reliability Engineering & System Safety 213, 107784, 2021 | 40 | 2021 |
| BN-based port state control inspection for Paris MoU: New risk factors and probability training using big data K Liu, Q Yu, Z Yang, C Wan, Z Yang Reliability Engineering & System Safety 224, 108530, 2022 | 19 | 2022 |
| Hybrid-driven vessel trajectory prediction based on uncertainty fusion X Liu, H Yuan, C Xiao, Y Wang, Q Yu Ocean Engineering 248, 110836, 2022 | 16 | 2022 |
| An optimized collision avoidance decision-making system for autonomous ships under human-machine cooperation situations X Wu, K Liu, J Zhang, Z Yuan, J Liu, Q Yu Journal of Advanced Transportation 2021, 1-17, 2021 | 14 | 2021 |
| Framework and application of multi-criteria ship collision risk assessment Q Yu, AP Teixeira, K Liu, CG Soares Ocean Engineering 250, 111006, 2022 | 12 | 2022 |
| Autonomous vessels in the Yangtze river: A study on the maritime accidents using data-driven bayesian networks X Zhao, H Yuan, Q Yu Sustainability 13 (17), 9985, 2021 | 10 | 2021 |
| GPS data in urban online ride-hailing: the technical potential analysis of demand prediction model W Jiang, H Zhang, Y Long, J Chen, Y Sui, X Song, R Shibasaki, Q Yu Journal of Cleaner Production 279, 123706, 2021 | 10 | 2021 |
| Sensitivity analysis of ship traffic in restricted two-way waterways considering the impact of LNG carriers K Liu, X Xin, J Ma, J Zhang, Q Yu Ocean Engineering 192, 106556, 2019 | 10 | 2019 |
| Self-organizing cooperation model for ships navigating in restricted one-way waterway H Wang, J Liu, J Zhang, K Liu, X Yang, Q Yu Brodogradnja: Teorija i praksa brodogradnje i pomorske tehnike 69 (3), 1-23, 2018 | 10 | 2018 |
| Risk analysis of ships & offshore wind turbines collision: Risk evaluation and case study JZ Qing Yu, Xuri Xin, Kezhong Liu Progress in Maritime Technology and Engineering, 484-490, 2018 | 7 | 2018 |
| Motion primitives learning of ship-ship interaction patterns in encounter situations C Jia, J Ma, M He, Y Su, Y Zhang, Q Yu Ocean Engineering 247, 110708, 2022 | 6 | 2022 |
| A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection Z Yang, C Wan, Q Yu, J Yin, Z Yang Transportation Research Part E: Logistics and Transportation Review 180, 103331, 2023 | 5 | 2023 |
| An expert elicitation analysis for vessel allision risk near the offshore wind farm by using fuzzy rule-based bayesian network Q Yu, K Liu TransNav: International Journal on Marine Navigation and Safety of Sea …, 2019 | 5 | 2019 |
