| Towards a probabilistic model for predicting ship besetting in ice in Arctic waters S Fu, D Zhang, J Montewka, X Yan, E Zio Reliability Engineering & System Safety 155, 124-136, 2016 | 137 | 2016 |
| 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 220, 108317, 2022 | 125 | 2022 |
| 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 |
| 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 |
| Arctic shipping risk management: A bibliometric analysis and a systematic review of risk influencing factors of navigational accidents S Fu, F Goerlandt, Y Xi Safety science 139, 105254, 2021 | 82 | 2021 |
| Framework for the quantitative assessment of the risk of leakage from LNG-fueled vessels by an event tree-CFD S Fu, X Yan, D Zhang, C Li, E Zio Journal of loss prevention in the process industries 43, 42-52, 2016 | 82 | 2016 |
| Critical risk factors in ship fire accidents L Wang, J Wang, M Shi, S Fu, M Zhu Maritime Policy & Management 48 (6), 895-913, 2021 | 76 | 2021 |
| A quantitative approach for risk assessment of a ship stuck in ice in Arctic waters S Fu, D Zhang, J Montewka, E Zio, X Yan Safety science 107, 145-154, 2018 | 76 | 2018 |
| 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 |
| Towards a probabilistic approach for risk analysis of nuclear-powered icebreakers using FMEA and FRAM S Fu, Y Yu, J Chen, B Han, Z Wu Ocean Engineering 260, 112041, 2022 | 54 | 2022 |
| Investigation of occurrence likelihood of human errors in shipping operations J Weng, D Yang, T Chai, S Fu Ocean engineering 182, 28-37, 2019 | 54 | 2019 |
| Decision-making on process risk of Arctic route for LNG carrier via dynamic Bayesian network modeling Z Li, S Hu, G Gao, C Yao, S Fu, Y Xi Journal of Loss Prevention in the Process Industries 71, 104473, 2021 | 50 | 2021 |
| An object-oriented Bayesian network model for the quantitative risk assessment of navigational accidents in ice-covered Arctic waters S Fu, Y Zhang, M Zhang, B Han, Z Wu Reliability Engineering & System Safety 238, 109459, 2023 | 49 | 2023 |
| Emerging LNG-fueled ships in the Chinese shipping industry: a hybrid analysis on its prospects C Wan, X Yan, D Zhang, J Shi, S Fu, AKY Ng WMU Journal of Maritime Affairs 14, 43-59, 2015 | 40 | 2015 |
| Risk reasoning from factor correlation of maritime traffic under Arctic sea ice status association with a Bayesian Belief Network Z Li, S Hu, G Gao, Y Xi, S Fu, C Yao Sustainability 13 (1), 147, 2020 | 25 | 2020 |
| Effects of emission control areas on sulfur-oxides concentrations——Evidence from the coastal ports in China L Xu, Z Zou, J Chen, S Fu Marine Pollution Bulletin 200, 116039, 2024 | 24 | 2024 |
| Towards system-theoretic risk management for maritime transportation systems: A case study of the yangtze river estuary S Fu, S Gu, Y Zhang, M Zhang, J Weng Ocean Engineering 286, 115637, 2023 | 20 | 2023 |
| Framework for process analysis of maritime accidents caused by the unsafe acts of seafarers: a case study of ship collision Y Wang, S Fu Journal of marine science and engineering 10 (11), 1793, 2022 | 18 | 2022 |
| The effect of social cognition and risk tolerance on marine pilots’ safety behaviour. Y Xi, Q Zhang, S Hu, Z Yang, S Fu Maritime Policy & Management 48 (1), 1-18, 2021 | 18 | 2021 |
| Toward sustainable Arctic shipping: perspectives from China Q Zhang, Z Wan, S Fu Sustainability 12 (21), 9012, 2020 | 17 | 2020 |
Enrico ZioProfessor Mines Paris/PSL and Politecnico di. MilanoAdresse e-mail validée de mines-paristech.fr