• 482 Citations
  • 15 h-Index
20112019
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Personal profile

External positions

Fingerprint Dive into the research topics where Ming Yang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Risk assessment Engineering & Materials Science
Accidents Engineering & Materials Science
Oils Chemical Compounds
Bayesian networks Engineering & Materials Science
Oil spills Engineering & Materials Science
Radioactive materials Engineering & Materials Science
oil spill Earth & Environmental Sciences
oil Earth & Environmental Sciences

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Research Output 2011 2019

  • 482 Citations
  • 15 h-Index
  • 41 Article
  • 7 Conference contribution
  • 2 Review article
  • 1 Paper

An integrated framework for subsea pipelines safety analysis considering causation dependencies

Li, X., Yang, M. & Chen, G., May 2019, In : Ocean Engineering. 183, p. 175-186

Research output: Contribution to journalArticle

Pipelines
Hazards
Decision making
Monitoring

Probabilistic assessment of integrated safety and security related abnormal events: a case of chemical plants

Song, G., Khan, F. & Yang, M., Mar 2019, In : Safety Science. 113, p. 115-125 11 p.

Research output: Contribution to journalArticle

Chemical plants
Accidents
Safety
event
accident

Quantitative Resilience Assessment for Process Units Operating in Arctic Environments

Zinetullina, A., Yang, M. & Golman, B., Jul 2019, 4th Symposium on Safety and Integrity Management in Harsh Environments.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Risk assessment
Chemical reactions
Bayesian networks
Natural resources
Separators
6 Citations (Scopus)

Review of risk-based design for ice-class ships

Kujala, P., Goerlandt, F., Way, B., Smith, D., Yang, M., Khan, F. & Veitch, B., Jan 1 2019, In : Marine Structures. 63, p. 181-195 15 p.

Research output: Contribution to journalReview article

Ice
Ships
Risk analysis
Accidents
Oil spills

Risk assessment of process systems by mapping fault tree into artificial neural network

Sarbayev, M., Yang, M. & Wang, H., May 9 2019, In : Journal of Loss Prevention in the Process Industries. 60, p. 203-212 10 p.

Research output: Contribution to journalArticle

risk assessment process
Risk assessment
neural networks
Neural networks
risk assessment