| Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters M Zhang, D Zhang, F Goerlandt, X Yan, P Kujala Safety science 111, 128-143, 2019 | 249 | 2019 |
| Deep learning for autonomous ship-oriented small ship detection Z Chen, D Chen, Y Zhang, X Cheng, M Zhang, C Wu Safety Science 130, 104812, 2020 | 198 | 2020 |
| A big data analytics method for the evaluation of ship-ship collision risk reflecting hydrometeorological conditions M Zhang, J Montewka, T Manderbacka, P Kujala, S Hirdaris Reliability Engineering & System Safety, 107674, 2021 | 194 | 2021 |
| A probabilistic model of human error assessment for autonomous cargo ships focusing on human–autonomy collaboration M Zhang, D Zhang, H Yao, K Zhang Safety Science 130, 104838, 2020 | 153 | 2020 |
| A method for the direct assessment of ship collision damage and flooding risk in real conditions M Zhang, F Conti, H Le Sourne, D Vassalos, P Kujala, D Lindroth, ... Ocean Engineering 237, 109605, 2021 | 130 | 2021 |
| A predictive analytics method for maritime traffic flow complexity estimation in inland waterways M Zhang, D Zhang, S Fu, P Kujala, S Hirdaris Reliability Engineering & System Safety, 2022 | 125 | 2022 |
| A path planning approach based on multi-direction A* algorithm for ships navigating within wind farm waters L Xie, S Xue, J Zhang, M Zhang, W Tian, S Haugen Ocean Engineering 184, 311-322, 2019 | 115 | 2019 |
| Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters C Zhang, D Zhang, M Zhang, W Mao Ocean Engineering 186, 106071, 2019 | 98 | 2019 |
| A framework for quantitative analysis of the causation of grounding accidents in arctic shipping S Fu, Y Yu, J Chen, Y Xi, M Zhang Reliability Engineering & System Safety 226, 108706, 2022 | 96 | 2022 |
| A novel real-time collision risk awareness method based on velocity obstacle considering uncertainties in ship dynamics X Yuan, D Zhang, J Zhang, M Zhang, CG Soares Ocean Engineering 220, 108436, 2021 | 90 | 2021 |
| Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method T Zhou, W Wu, L Peng, M Zhang, Z Li, Y Xiong, Y Bai Reliability Engineering & System Safety, 108090, 2022 | 88 | 2022 |
| Safety distance modeling for ship escort operations in Arctic ice-covered waters M Zhang, D Zhang, S Fu, X Yan, V Goncharov Ocean Engineering 146, 202-216, 2017 | 87 | 2017 |
| A machine learning method for the evaluation of ship grounding risk in real operational conditions M Zhang, P Kujala, S Hirdaris Reliability Engineering & System Safety 226, 108697, 2022 | 80 | 2022 |
| A machine learning method for the prediction of ship motion trajectories in real operational conditions M Zhang, P Kujala, M Musharraf, J Zhang, S Hirdaris Ocean Engineering 283, 114905, 2023 | 72 | 2023 |
| An integrated risk assessment model for safe Arctic navigation C Zhang, D Zhang, M Zhang, X Lang, W Mao Transportation Research Part A: Policy and Practice 142, 101-114, 2020 | 67 | 2020 |
| A complex path model for low-carbon sustainable development of enterprise based on system dynamics W Zhang, M Zhang, S Wu, F Liu Journal of Cleaner Production 321, 128934, 2021 | 65 | 2021 |
| Risk influencing factors analysis of Arctic maritime transportation systems: a Chinese perspective S Fu, X Yan, D Zhang, M Zhang Maritime Policy & Management 45 (4), 439-455, 2018 | 64 | 2018 |
| An interpretable knowledge-based decision support method for ship collision avoidance using AIS data J Zhang, J Liu, S Hirdaris, M Zhang, W Tian Reliability Engineering & System Safety, 108919, 2023 | 63 | 2023 |
| A quantitative method for the analysis of ship collision risk using AIS data Z Liu, B Zhang, M Zhang, H Wang, X Fu Ocean Engineering 272, 113906, 2023 | 57 | 2023 |
| A deep learning method for the prediction of 6-DoF ship motions in real conditions M Zhang, G Taimuri, J Zhang, S Hirdaris Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2023 | 55 | 2023 |
Mao WengangProfessor of Ship Mechanics, Chalmers University of TechnologyAdresse e-mail validée de chalmers.se