| Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA Z Yang, S Bonsall, J Wang IEEE Transactions on Reliability 57 (3), 517-528, 2008 | 369 | 2008 |
| Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River D Zhang, XP Yan, ZL Yang, A Wall, J Wang Reliability Engineering & System Safety 118, 93-105, 2013 | 270 | 2013 |
| The use of Bayesian network modelling for maintenance planning in a manufacturing industry B Jones, I Jenkinson, Z Yang, J Wang Reliability Engineering & System Safety 95 (3), 267-277, 2010 | 262 | 2010 |
| 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 | 240 | 2018 |
| A Human and Organisational Factors (HOFs) analysis method for marine casualties using HFACS-Maritime Accidents (HFACS-MA) ST Chen, A Wall, P Davies, Z Yang, J Wang, YH Chou Safety science 60, 105-114, 2013 | 230 | 2013 |
| Use of fuzzy evidential reasoning in maritime security assessment ZL Yang, J Wang, S Bonsall, QG Fang Risk Analysis: An International Journal 29 (1), 95-120, 2009 | 203 | 2009 |
| Selection of techniques for reducing shipping NOx and SOx emissions ZL Yang, D Zhang, O Caglayan, ID Jenkinson, S Bonsall, J Wang, ... Transportation Research Part D: Transport and Environment 17 (6), 478-486, 2012 | 184 | 2012 |
| A risk assessment approach to improve the resilience of a seaport system using Bayesian networks A John, Z Yang, R Riahi, J Wang Ocean Engineering 111, 136-147, 2016 | 182 | 2016 |
| An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks C Wan, X Yan, D Zhang, Z Qu, Z Yang Transportation Research Part E: Logistics and Transportation Review 125, 222-240, 2019 | 155 | 2019 |
| A modified CREAM to human reliability quantification in marine engineering ZL Yang, S Bonsall, A Wall, J Wang, M Usman Ocean engineering 58, 293-303, 2013 | 154 | 2013 |
| An integrated fuzzy risk assessment for seaport operations A John, D Paraskevadakis, A Bury, Z Yang, R Riahi, J Wang Safety science 68, 180-194, 2014 | 145 | 2014 |
| Spatio-temporal vessel trajectory clustering based on data mapping and density H Li, J Liu, K Wu, Z Yang, RW Liu, N Xiong IEEE Access 6, 58939-58954, 2018 | 126 | 2018 |
| A novel model for the quantitative evaluation of green port development–A case study of major ports in China C Wan, D Zhang, X Yan, Z Yang Transportation Research Part D: Transport and Environment 61, 431-443, 2018 | 123 | 2018 |
| Realising advanced risk-based port state control inspection using data-driven Bayesian networks Z Yang, Z Yang, J Yin Transportation Research Part A: Policy and Practice 110, 38-56, 2018 | 122 | 2018 |
| Fuzzy risk assessment of oil and gas offshore wells SMM Lavasani, Z Yang, J Finlay, J Wang Process Safety and Environmental Protection 89 (5), 277-294, 2011 | 121 | 2011 |
| 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 | 120 | 2020 |
| Use of fuzzy risk assessment in FMEA of offshore engineering systems Z Yang, J Wang Ocean Engineering 95, 195-204, 2015 | 116 | 2015 |
| Bayesian network with quantitative input for maritime risk analysis KX Li, J Yin, HS Bang, Z Yang, J Wang Transportmetrica A: Transport Science 10 (2), 89-118, 2014 | 116 | 2014 |
| Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems D Zhang, X Yan, J Zhang, Z Yang, J Wang Safety science 82, 352-360, 2016 | 109 | 2016 |
| Maritime safety analysis in retrospect ZL Yang, J Wang, KX Li Maritime Policy & Management 40 (3), 261-277, 2013 | 106 | 2013 |
