Ming Yang
Orcid: 0000-0002-6544-9226Affiliations:
- Delft University of Technology, Faculty of Technology, Policy and Management, Department of Values, Technology, and Innovation, The Netherlands
- Nazarbayev University, Department of Chemical and Materials Engineering, Astana, Kazakhstan (2017 - 2020)
- Memorial University of Newfoundland, Centre for Risk, Integrity, and Safety Engineering, St. John's, Canada (2015 - 2017)
According to our database1,
Ming Yang
authored at least 16 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on tudelft.nl
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on linkedin.com
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on orcid.org
On csauthors.net:
Bibliography
2025
A Monte Carlo-based modeling method for the spatial-temporal evolution process of multi-hazard and higher-order domino effect.
Reliab. Eng. Syst. Saf., 2025
2024
Reliab. Eng. Syst. Saf., March, 2024
Reliab. Eng. Syst. Saf., March, 2024
Integrated process safety and process security risk assessment of industrial cyber-physical systems in chemical plants.
Comput. Ind., February, 2024
Integrated management of safety and security barriers in chemical plants to cope with emerging cyber-physical attack risks under uncertainties.
Reliab. Eng. Syst. Saf., 2024
2023
Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data.
Expert Syst. Appl., November, 2023
Dynamic thresholds for the resilience assessment of road traffic networks to wildfires.
Reliab. Eng. Syst. Saf., October, 2023
An integrated resilience assessment methodology for emergency response systems based on multi-stage STAMP and dynamic Bayesian networks.
Reliab. Eng. Syst. Saf., October, 2023
A resilience assessment framework for complex engineered systems using graphical evaluation and review technique (GERT).
Reliab. Eng. Syst. Saf., August, 2023
2022
Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios.
Reliab. Eng. Syst. Saf., 2022
A virtual experiment for measuring system resilience: A case of chemical process systems.
Reliab. Eng. Syst. Saf., 2022
A STAMP-based approach to quantitative resilience assessment of chemical process systems.
Reliab. Eng. Syst. Saf., 2022
Comput. Chem. Eng., 2022
2021
Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network.
Reliab. Eng. Syst. Saf., 2021
Reliab. Eng. Syst. Saf., 2021
2018
Reliab. Eng. Syst. Saf., 2018