Resilience in transportation systems: a systematic review and future directions C Wan, Z Yang, D Zhang, X Yan, S Fan Transport reviews 38 (4), 479-498, 2018 | 326 | 2018 |
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network S Fan, E Blanco-Davis, Z Yang, J Zhang, X Yan Reliability Engineering & System Safety 203, 107070, 2020 | 211 | 2020 |
Maritime accident prevention strategy formulation from a human factor perspective using Bayesian Networks and TOPSIS S Fan, J Zhang, E Blanco-Davis, Z Yang, X Yan Ocean Engineering 210, 107544, 2020 | 112 | 2020 |
Effects of seafarers’ emotion on human performance using bridge simulation S Fan, J Zhang, E Blanco-Davis, Z Yang, J Wang, X Yan Ocean Engineering 170, 111-119, 2018 | 81 | 2018 |
Analysis of maritime transport accidents using Bayesian networks S Fan, Z Yang, E Blanco-Davis, J Zhang, X Yan Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2020 | 62 | 2020 |
An APF and MPC combined collaborative driving controller using vehicular communication technologies Z Huang, Q Wu, J Ma, S Fan Chaos, Solitons & Fractals 89, 232-242, 2016 | 53 | 2016 |
Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network Y Cao, X Wang, Y Wang, S Fan, H Wang, Z Yang, Z Liu, J Wang, R Shi Ocean Engineering 269, 113563, 2023 | 52 | 2023 |
Shipping accident analysis in restricted waters: Lesson from the Suez Canal blockage in 2021 S Fan, Z Yang, J Wang, J Marsland Ocean Engineering 266, 113119, 2022 | 45 | 2022 |
Towards objective human performance measurement for maritime safety: A new psychophysiological data-driven machine learning method S Fan, Z Yang Reliability Engineering & System Safety 233, 109103, 2023 | 34 | 2023 |
The role of the prefrontal cortex and functional connectivity during maritime operations: an fNIRS study S Fan, E Blanco‐Davis, J Zhang, A Bury, J Warren, Z Yang, X Yan, ... Brain and Behavior 11 (1), e01910, 2021 | 29 | 2021 |
A review on human factors in maritime transportation using seafarers' physiological data S Fan, X Yan, J Zhang, J Wang 2017 4th International Conference on Transportation Information and Safety …, 2017 | 22 | 2017 |
Risk analysis of cargo theft from freight supply chains using a data-driven Bayesian network X Liang, S Fan, J Lucy, Z Yang Reliability Engineering & System Safety 226, 108702, 2022 | 21 | 2022 |
Incorporation of seafarer psychological factors into maritime safety assessment S Fan, E Blanco-Davis, S Fairclough, J Zhang, X Yan, J Wang, Z Yang Ocean & Coastal Management 237, 106515, 2023 | 20 | 2023 |
The impact of marine engine noise exposure on seafarer fatigue: A China case R Cui, Z Liu, X Wang, Z Yang, S Fan, Y Shu Ocean Engineering 266, 112943, 2022 | 16 | 2022 |
Accident data-driven human fatigue analysis in maritime transport using machine learning S Fan, Z Yang Reliability Engineering & System Safety 241, 109675, 2024 | 8 | 2024 |
Safety and security co-analysis in transport systems: Current state and regulatory development S Fan, Z Yang Transportation research part A: policy and practice 166, 369-388, 2022 | 8 | 2022 |
Exploring seafarers’ emotional responses to emergencies: An empirical study using a shiphandling simulator K Shi, J Weng, S Fan, Z Yang, H Ding Ocean & Coastal Management 243, 106736, 2023 | 4 | 2023 |
水上交通事故中人为因素研究综述 范诗琪, 严新平, 张金奋, 张笛 交通信息与安全 35 (2), 1-8, 2017 | 4 | 2017 |
Current status and framework of China's inland passenger ship safety system S Fan, D Zhang, E Blanco-Davis, J Wang, M Huang, F Zhang, X Yan 2016 International Conference on Logistics, Informatics and Service Sciences …, 2016 | 4 | 2016 |
A petri net model for a causation analysis of ship foundering Z Liang, D Zhang, CG Soares, SQ Fan The 13th International Conference on Probabilistic Safety Assessment and …, 2016 | 4 | 2016 |