World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
68
Citations
13696
World Ranking
1255
National Ranking
78

Overview

Zaili Yang is affiliated with Liverpool John Moores University in the United Kingdom. Their primary field of study is Engineering, with a substantial focus on Ocean Engineering, Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty, Environmental Engineering, and Transportation.

The scientist's research topics cover several aspects of maritime and safety-related concerns, including:

  • Maritime Navigation and Safety
  • Risk and Safety Analysis
  • Maritime Ports and Logistics
  • Structural Integrity and Reliability Analysis
  • Maritime Transport Emissions and Efficiency
  • Ship Hydrodynamics and Maneuverability
  • Maritime Security and History

Zaili Yang has published extensively in several venues, highlighting a concentration in maritime and engineering safety disciplines. The most frequent publication outlets include:

  • Ocean Engineering
  • Reliability Engineering & System Safety
  • SSRN Electronic Journal
  • Transportation Research Part E Logistics and Transportation Review
  • Ocean & Coastal Management

Their recent publications include:

  • "Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network," 2020, published in Reliability Engineering & System Safety
  • "Risk assessment of the operations of maritime autonomous surface ships," 2020, published in Reliability Engineering & System Safety
  • "Adaptively constrained dynamic time warping for time series classification and clustering," 2020, published in Information Sciences
  • "Data-driven Bayesian network for risk analysis of global maritime accidents," 2022, published in Reliability Engineering & System Safety
  • "Maritime accident prevention strategy formulation from a human factor perspective using Bayesian Networks and TOPSIS," 2020, published in Ocean Engineering

Frequent coauthors contributing to their research efforts include:

  • Huanhuan Li
  • Xinjian Wang
  • Shiqi Fan
  • Zhuohua Qu
  • Zhengjiang Liu

Best Publications

  • Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA

    Zaili Yang;S. Bonsall;Jin Wang

  • Resilience in transportation systems: a systematic review and future directions

    Chengpeng Wan;Zaili Yang;Di Zhang;Xinping Yan

  • Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River

    Di Zhang;Xinping Yan;Zaili Yang;Alan D. Wall

  • The use of Bayesian network modelling for maintenance planning in a manufacturing industry

    B. Jones;Ian Jenkinson;Zaili Yang;Jin Wang

  • Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network

    Shiqi Fan;Shiqi Fan;Eduardo Blanco-Davis;Zaili Yang;Jinfen Zhang

  • Risk assessment of the operations of maritime autonomous surface ships

    Chia-Hsun Chang;Christos A. Kontovas;Qing Yu;Zaili Yang

  • A Human and Organisational Factors (HOFS) Analysis Method for Marine Casualties Using HFACS-Maritime Accidents (HFACS-MA)

    Shih-Tzung Chen;Alan Wall;Philip Davies;Zaili Yang

  • Data-driven Bayesian network for risk analysis of global maritime accidents

    Unknown

  • Use of Fuzzy Evidential Reasoning in Maritime Security Assessment

    Z. L. Yang;Jiangping Wang;S. Bonsall;Q. G. Fang

  • Realising advanced risk-based port state control inspection using data-driven Bayesian networks

    Zhisen Yang;Zaili Yang;Jingbo Yin

  • An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks

    Chengpeng Wan;Chengpeng Wan;Xinping Yan;Di Zhang;Zhuohua Qu

  • Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China

    Likun Wang;Zaili Yang

  • Adaptively constrained dynamic time warping for time series classification and clustering

    Huanhuan Li;Huanhuan Li;Jingxian Liu;Zaili Yang;Ryan Wen Liu

  • Selection of techniques for reducing shipping NOx and SOx emissions

    Zaili L. Yang;D. Zhang;O. Caglayan;I. D. Jenkinson

  • A risk assessment approach to improve the resilience of a seaport system using Bayesian networks

    Andrew John;Zaili Yang;Ramin Riahi;Jin Wang

  • A modified CREAM to human reliability quantification in marine engineering

    Z.L. Yang;S. Bonsall;A. Wall;J. Wang

  • An integrated fuzzy risk assessment for seaport operations

    Andrew John;Dimitrios Paraskevadakis;Alan Bury;Zaili Yang

  • Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network

    Unknown

  • Bayesian network with quantitative input for maritime risk analysis

    Kevin X. Li;Jingbo Yin;Hee Seok Bang;Zaili Yang

  • Maritime accident prevention strategy formulation from a human factor perspective using Bayesian Networks and TOPSIS

    Shiqi Fan;Shiqi Fan;Jinfen Zhang;Eduardo Blanco-Davis;Zaili Yang

  • Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density

    Huanhuan Li;Jingxian Liu;Kefeng Wu;Zaili Yang

  • Maritime safety analysis in retrospect

    Z. L. Yang;J. Wang;K. X. Li

  • Advanced uncertainty modelling for container port risk analysis.

    Hani Alyami;Zaili Yang;Ramin Riahi;Stephen Bonsall

Frequent Co-Authors

Jin Wang
Jin Wang Liverpool John Moores University
Adolf K.Y. Ng
Adolf K.Y. Ng Hong Kong Baptist University
Xinping Yan
Xinping Yan Wuhan University of Technology
Paul Tae-Woo Lee
Paul Tae-Woo Lee Zhejiang University
Kevin X. Li
Kevin X. Li Zhejiang University
Po Yang
Po Yang University of Sheffield
Kevin Cullinane
Kevin Cullinane University of Gothenburg
Jian-Bo Yang
Jian-Bo Yang University of Manchester
Jasmine Siu Lee Lam
Jasmine Siu Lee Lam Technical University of Denmark
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology

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