| Arctic shipping accident scenario analysis using Bayesian Network approach M Afenyo, F Khan, B Veitch, M Yang Ocean Engineering 133, 224-230, 2017 | 130 | 2017 |
| An operational risk analysis tool to analyze marine transportation in Arctic waters B Khan, F Khan, B Veitch, M Yang Reliability Engineering and System Safety 169, 485-502, 2017 | 123 | 2017 |
| Prioritization of environmental issues in offshore oil and gas operations: A hybrid approach using fuzzy inference system and fuzzy analytic hierarchy process M Yang, F Khan, R Sadiq Process Safety and Environmental Protection 89 (1), 22-34, 2011 | 94 | 2011 |
| Precursor-based hierarchical Bayesian approach for rare event frequency estimation: A Case of Oil Spill Accidents M Yang, F Khan, L Lye Process Safety and Environmental Protection 91 (5), 333-342, 2013 | 84 | 2013 |
| Dynamic Failure Analysis of Process Systems using Neural Networks SA Adedigba, F Khan, M Yang Process Safety and Environmental Protection 111, 529-543, 2017 | 67 | 2017 |
| Kick control reliability analysis of managed pressure drilling operation I Sule, F Khan, S Butt, M Yang Journal of Loss Prevention in the Process Industries 52, 7-20, 2018 | 62 | 2018 |
| Risk assessment of rare events M Yang, F Khan, L Lye, P Amyotte Process Safety and Environmental Protection 98, 102-108, 2015 | 61 | 2015 |
| A rough set-based quality function deployment (QFD) approach for environmental performance evaluation: a case of offshore oil and gas operations M Yang, F Khan, R Sadiq, P Amyotte Journal of Cleaner Production 19 (13), 1513-1526, 2011 | 58 | 2011 |
| Operational risk assessment: a case of Bhopal disaster M Yang, F Khan, P Amyotte Process Safety and Environmental Protection 97, 70-79, 2015 | 56 | 2015 |
| Review of risk-based design for ice-class ships P Kujala, F Goerlandt, B Way, D Smith, M Yang, F Khan, B Veitch Marine Structures 63, 181-195, 2019 | 53 | 2019 |
| Dynamic failure analysis of process systems using principal component analysis and Bayesian network SA Adedigba, F Khan, M Yang Industrial & Engineering Chemistry Research 56 (8), 2094-2106, 2017 | 53 | 2017 |
| Dynamic safety analysis of process systems using nonlinear and non-sequential accident model S Adedigba, F Khan, M Yang Chemical Engineering Research and Design 111, 169-183, 2016 | 53 | 2016 |
| Failure analysis of the offshore process component considering causation dependence SM Deyab, M Taleb-Berrouane, F Khan, M Yang Process Safety and Environmental Protection 113, 220-232, 2018 | 50 | 2018 |
| Process Accident Model Considering Dependency Among Contributory Factors SA Adedigba, F Khan, M Yang Process Safety and Environmental Protection 116, 316-323, 2016 | 49 | 2016 |
| A risk-based approach to determination of optimal inspection intervals for buried oil pipelines R Abubakirov, M Yang, N Khakzad Process Safety and Environmental Protection 134, 95-107, 2020 | 45 | 2020 |
| Risk assessment of process systems by mapping fault tree into artificial neural network M Sarbayev, M Yang, H Wang Journal of Loss Prevention in the Process Industries 60, 203-212, 2019 | 44 | 2019 |
| Safety challenges in harsh environments: lessons learned F Khan, S Ahmed, M Yang, J Hashemi, S Caines, D Oldford Process Safety Progress, 2014 | 44 | 2014 |
| Safety challenges in harsh environments: lessons learned F Khan, S Ahmed, M Yang, J Hashemi, S Caines, D Oldford 1st CCPS Asia-Pacific Conference on Process Safety, 2013 | 44 | 2013 |
| Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network A Zinetullina, M Yang, N Khakzad, B Golman, X Li Reliability Engineering and System Safety 205, 107232, 2021 | 43 | 2021 |
| Modeling oil weathering and transport in sea ice M Afenyo, F Khan, B Veitch, M Yang Marine Pollution Bulletin 107 (1), 206-215, 2016 | 40 | 2016 |
