| Arctic shipping accident scenario analysis using Bayesian Network approach M Afenyo, F Khan, B Veitch, M Yang Ocean Engineering 133, 224-230, 2017 | 198 | 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 | 174 | 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 | 109 | 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 | 102 | 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 | 97 | 2021 |
| 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 | 87 | 2020 |
| Dynamic Failure Analysis of Process Systems using Neural Networks SA Adedigba, F Khan, M Yang Process Safety and Environmental Protection 111, 529-543, 2017 | 86 | 2017 |
| Gas leakage detection using spatial and temporal neural network model A Kopbayev, F Khan, M Yang, SZ Halim Process Safety and Environmental Protection 160, 968-975, 2022 | 85 | 2022 |
| A Dynamic Bayesian Network-based approach to Resilience Assessment of Engineered Systems Q Tong, M Yang, A Zinetullina Journal of Loss Prevention in the Process Industries 65, 104152, 2020 | 83 | 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 | 82 | 2019 |
| 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 | 78 | 2019 |
| Risk assessment of rare events M Yang, F Khan, L Lye, P Amyotte Process Safety and Environmental Protection 98, 102-108, 2015 | 75 | 2015 |
| Operational risk assessment: a case of Bhopal disaster M Yang, F Khan, P Amyotte Process Safety and Environmental Protection 97, 70-79, 2015 | 74 | 2015 |
| 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 | 73 | 2018 |
| Technologically Enhanced Naturally Occurring Radioactive Materials in Oil and Gas Production: A Silent Killer K ALNabhani, F Khan, M Yang Process Safety and Environmental Protection 99, 237-247, 2015 | 73 | 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 | 66 | 2011 |
| 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 | 64 | 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 | 63 | 2018 |
| 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 | 63 | 2017 |
| Process Accident Model Considering Dependency Among Contributory Factors SA Adedigba, F Khan, M Yang Process Safety and Environmental Protection 116, 316-323, 2016 | 57 | 2016 |
Faisal KhanTexas A&M UniversityVerified email at tamu.edu