Zaili Yang

About Zaili Yang

Zaili Yang, With an exceptional h-index of 55 and a recent h-index of 49 (since 2020), a distinguished researcher at Liverpool John Moores University, specializes in the field of Maritime transport, Risk analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL

Dynamic analysis of emergency evacuation in a rolling passenger ship using a two-layer social force model

Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety

Dynamic evolution of maritime accidents: Comparative analysis through data-driven Bayesian Networks

COLREG and MASS: Analytical review to identify research trends and gaps in the Development of Autonomous Collision Avoidance

A data-driven risk model for maritime casualty analysis: A global perspective

Exploring the influence of seafarers’ individual characteristics on the perceived risk in Maritime emergencies: A simulator study

PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents

Zaili Yang Information

University

Position

Professor

Citations(all)

10406

Citations(since 2020)

7981

Cited By

5042

hIndex(all)

55

hIndex(since 2020)

49

i10Index(all)

170

i10Index(since 2020)

151

Email

University Profile Page

Google Scholar

Zaili Yang Skills & Research Interests

Maritime transport

Risk analysis

Top articles of Zaili Yang

Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL

Ocean Engineering

2024/8/1

Zaili Yang
Zaili Yang

H-Index: 35

Jin Wang
Jin Wang

H-Index: 4

Dynamic analysis of emergency evacuation in a rolling passenger ship using a two-layer social force model

Expert Systems with Applications

2024/8/1

Zaili Yang
Zaili Yang

H-Index: 35

Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety

Ocean & Coastal Management

2024/7/1

Dynamic evolution of maritime accidents: Comparative analysis through data-driven Bayesian Networks

Ocean Engineering

2024/7/1

COLREG and MASS: Analytical review to identify research trends and gaps in the Development of Autonomous Collision Avoidance

2024/6/15

Chia-Hsun Chang
Chia-Hsun Chang

H-Index: 7

Zaili Yang
Zaili Yang

H-Index: 35

A data-driven risk model for maritime casualty analysis: A global perspective

Reliability Engineering & System Safety

2024/4/1

Exploring the influence of seafarers’ individual characteristics on the perceived risk in Maritime emergencies: A simulator study

Journal of Transportation Safety & Security

2024/3/19

PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents

Reliability Engineering & System Safety

2024/3/1

Global food supply chain resilience assessment: A case in the United Kingdom

Transportation Research Part A: Policy and Practice

2024/3/1

Zaili Yang
Zaili Yang

H-Index: 35

Vulnerability analysis of cruise shipping in ASEAN countries facing COVID-19 pandemic

Ocean & Coastal Management

2024/2/1

Zaili Yang
Zaili Yang

H-Index: 35

A spatial-temporal data mining method for the extraction of vessel traffic patterns using AIS data

Ocean Engineering

2024/2/1

Zaili Yang
Zaili Yang

H-Index: 35

Jiaguo Liu
Jiaguo Liu

H-Index: 7

Exploring the effects of automation malfunction on team communication and coordination in ships' engine rooms

Process Safety Progress

2024/1/12

Optimising the resilience of shipping networks to climate vulnerability

Maritime Policy & Management

2024/1/2

Zaili Yang
Zaili Yang

H-Index: 35

A framework for the optimal deployment of police drones based on street-level crime risk

Applied Geography

2024/1/1

Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships

Transportation Research Part E: Logistics and Transportation Review

2024/1/1

Robust multi-equipment scheduling for U-shaped container terminals concerning double-cycling mode and uncertain operation time with cascade effects

Transportation Research Part C: Emerging Technologies

2024/1/1

A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections

Transportation Research Part E: Logistics and Transportation Review

2024/1/1

Qing Yu
Qing Yu

H-Index: 3

Zaili Yang
Zaili Yang

H-Index: 35

Quantification of CO2 emissions in transportation: An empirical analysis by modal shift from road to waterway transport in Zhejiang, China

Transport Policy

2024/1/1

Zaili Yang
Zaili Yang

H-Index: 35

Accident data-driven human fatigue analysis in maritime transport using machine learning

Reliability Engineering & System Safety

2024/1/1

Zaili Yang
Zaili Yang

H-Index: 35

Applications, evolutions, and challenges of drones in maritime transport

2023/10/27

See List of Professors in Zaili Yang University(Liverpool John Moores University)