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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A data-driven risk assessment of Arctic maritime incidents: Using machine learning to predict incident types and identify risk factors
Rajesh Kandel, Hiba Baroud
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109779-109779
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Incorporation of a global perspective into data-driven analysis of maritime collision accident risk
Huanhuan Li, Cihad Çelik, Musa Bashir, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110187-110187
Open Access | Times Cited: 20
Risk influencing factors on the consequence of waterborne transportation accidents in China (2013-2023) based on data-driven machine learning
Weiliang Qiao, Enze Huang, Meng Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110829-110829
Closed Access | Times Cited: 4
Navigating uncertainty: A dynamic Bayesian network-based risk assessment framework for maritime trade routes
Hanwen Fan, Haiying Jia, Xuzhuo He, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110311-110311
Closed Access | Times Cited: 17
Influence of sea ice on ship routes and speed along the Arctic Northeast Passage
Yaqing Shu, Hailong Cui, Lan Song, et al.
Ocean & Coastal Management (2024) Vol. 256, pp. 107320-107320
Closed Access | Times Cited: 17
Development of An Improved Bayesian Network Method for Maritime Accident Safety Assessment Based on Multiscale Scenario Analysis Theory
Dewei Kong, Zelong Lin, Wei Li, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110344-110344
Closed Access | Times Cited: 16
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
Zhongyi Jiang, Min Zhu, Lu Lu
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110392-110392
Open Access | Times Cited: 15
Investigation of the risk influential factors of maritime accidents: A novel topology and robustness analytical framework
Yuhao Cao, Iulia Manole, Arnab Majumdar, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110636-110636
Closed Access | Times Cited: 15
A dynamic-static combination risk analysis framework for berthing/unberthing operations of maritime autonomous surface ships considering temporal correlation
Xiaofang Luo, Hao Ling, Mengxia Xing, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110015-110015
Closed Access | Times Cited: 10
Maritime near-miss prediction framework and model interpretation analysis method based on Transformer neural network model with multi-task classification variables
P P Chen, Anmin Zhang, Shenwen Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110845-110845
Closed Access | Times Cited: 1
Enhanced Risk Assessment Framework for Complex Maritime Traffic Systems via Data Driven: A Case Study of Ship Navigation in Arctic
Shenping Hu, C. Fang, Jian Wu, et al.
Reliability Engineering & System Safety (2025), pp. 110991-110991
Closed Access | Times Cited: 1
A conceptual risk modelling for cargo tank fire/explosion in chemical tanker by using Evidential Reasoning -SLIM and Bayesian belief network approach
Şükrü İlke Sezer, Emre Akyüz
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110455-110455
Closed Access | Times Cited: 8
Incorporating human and organizational failures into the formation pattern for different Arctic maritime accidents using a data-driven Bayesian network
Laihao Ma, Liguang Chen, Xiaoxue Ma, et al.
Ocean Engineering (2024) Vol. 312, pp. 119125-119125
Closed Access | Times Cited: 8
Intelligent risk identification for drilling lost circulation incidents using data-driven machine learning
Shengnan Wu, Yiming Hu, Laibin Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110407-110407
Closed Access | Times Cited: 7
Exploring Key Factors for Long-Term Vessel Incident Risk Prediction
Tianyi Chen, Hua Wang, Yutong Cai, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110565-110565
Open Access | Times Cited: 6
Risk causation analysis and prevention strategy of working fluid systems based on accident data and complex network theory
Jian Li, Zhao Yang, Hongxia He, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110445-110445
Closed Access | Times Cited: 5
Forward and reverse design of adhesive in batteries via dynamics and machine learning algorithms for enhanced mechanical safety
Xiaoxi Zhang, Yongjun Pan, Junxiao Zhou, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110141-110141
Closed Access | Times Cited: 4
Optimizing Traffic Accident Loss Predictions in China: Integrating Importance Indicator Screening with the Extra Trees Model for Greater Accuracy and Stability
Rui Feng, Jian Liu, Bin Lyu, et al.
(2025)
Closed Access
Optimizing Traffic Accident Loss Predictions in China: Integrating Importance Indicator Screening with the Extra Trees Model for Greater Accuracy and Stability
Jian Liu, Rui Feng, Bin Lyu, et al.
(2025)
Closed Access
A data-driven Bayesian network methodology for predicting future incident risk in Arctic maritime-based cargo transit
Wenjie Li, Martin Henke, Ralph Pundt, et al.
Ocean Engineering (2025) Vol. 320, pp. 120299-120299
Closed Access
Applications of interpretable ensemble learning for workplace risk assessment: The Chinese coal industry as an example
Qifei Wang, Yong Zhao, Junlong Wang, et al.
Risk Analysis (2025)
Closed Access
Probabilistic analysis of ship-bridge allisions when designing bridges
Axel Hörteborn, Jonas W. Ringsberg, Olov Lundbäck, et al.
Reliability Engineering & System Safety (2025), pp. 111026-111026
Open Access
Machine learning-based classification of maritime accidents
Üstün Atak, Ahmet Demiray
Ships and Offshore Structures (2025), pp. 1-6
Closed Access
Dynamic effects of maritime risk on macroeconomic and global maritime economic activity
Shuiyang Chen, Bin Meng, Bingcheng Qiu, et al.
Transport Policy (2025)
Closed Access
Ship near-miss risk identification method based on multi-modal deep fusion model under complex weather and sea conditions
Zhizheng Wu, Shengzheng Wang, Leyao Li, et al.
Ocean Engineering (2025) Vol. 329, pp. 121119-121119
Closed Access
Modeling and analysis of open-pit coal mine accident causation based on directed weighted network
Yuanzhen Li, Yunlei She, Ying Shi, et al.
Reliability Engineering & System Safety (2025), pp. 111141-111141
Closed Access
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