OpenAlex Citation Counts

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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:

Predicting maritime accident risk using Automated Machine Learning
Ziaul Haque Munim, Michael André Sørli, Hyungju Kim, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110148-110148
Open Access | Times Cited: 23

Showing 23 citing articles:

Graph neural networks enabled accident causation prediction for maritime vessel traffic
Langxiong Gan, Ziyi Gao, Xiyu Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110804-110804
Closed Access | Times Cited: 3

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: 2

Spatial-Temporal Evolution of Maritime Accident Hot Spots in the East China Sea: A Space-Time Cube Representation
Yanqing Feng, Daozheng Huang, Hong Xuan, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 233-233
Open Access | Times Cited: 2

Integration of MIMAH and Fuzzy Bayesian Networks for risk analysis in chemical tanker loading operations
Cenk Ay
Journal of Marine Engineering & Technology (2025), pp. 1-19
Closed Access | Times Cited: 1

Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities
Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 5994-5994
Open Access | Times Cited: 9

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: 8

A real-time early warning classification method for natural gas leakage based on random forest
Qiong Tan, Ming Fu, Zhengxing Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110372-110372
Closed Access | Times Cited: 6

Maritime near-miss prediction framework and model interpretation analysis method based on Transformer neural network model with multi-task classification variables
Pengxv Chen, Anmin Zhang, Shenwen Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110845-110845
Closed Access

A novel feature engineering method for severity prediction of marine accidents
Tianyi Li, Xinjian Wang, Zhiwei Zhang, et al.
Journal of Marine Engineering & Technology (2025), pp. 1-16
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

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: 4

Maritime accident risk prediction integrating weather data using machine learning
Peter Brandt, Ziaul Haque Munim, Meriam Chaal, et al.
Transportation Research Part D Transport and Environment (2024) Vol. 136, pp. 104388-104388
Open Access | Times Cited: 4

MAKG: A maritime accident knowledge graph for intelligent accident analysis and management
D. T. H. Liu, Liang Cheng
Ocean Engineering (2024) Vol. 312, pp. 119280-119280
Open Access | Times Cited: 4

Development of marine accident probability prediction model for pleasure boats using ship accident database in central part of Seto Inland Sea
Aogi Shintani, N. Taniguchi, Yoshiyuki Nakayama, et al.
Ocean Engineering (2025) Vol. 322, pp. 120460-120460
Closed Access

Machine learning-based classification of maritime accidents
Üstün Atak, Ahmet Demiray
Ships and Offshore Structures (2025), pp. 1-6
Closed Access

Dynamic risk analysis of tank cleaning operations using bow-tie-based fuzzy Bayesian network
Taylan Güler, Cenk Ay, İsmail Çiçek
Journal of Marine Engineering & Technology (2024) Vol. 24, Iss. 1, pp. 22-39
Closed Access | Times Cited: 3

Intelligent prediction and evaluation models for the seismic risk and vulnerability of reinforced concrete girder bridges in large-scale zones
Si-Qi Li, Jia-Cheng Han, Yi-Ru Li, et al.
Reliability Engineering & System Safety (2024) Vol. 256, pp. 110743-110743
Closed Access | Times Cited: 2

A framework to analyse the probability of accidental hull girder failure considering advanced corrosion degradation for risk-based ship design
Krzysztof Woloszyk, Floris Goerlandt, Jakub Montewka
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110336-110336
Open Access | Times Cited: 1

A Novel Framework for Identifying Major Fishing Vessel Accidents and Their Key Influencing Factors
Zhou Hong-xia, Fang Wang, HU Wei-li, et al.
Sustainability (2024) Vol. 16, Iss. 18, pp. 8246-8246
Open Access | Times Cited: 1

Maritime accident prediction in busan port using machine learning: An integrated approach with maritime accident reports and VTS data
Gil-Ho Shin, Hyun Yang
Ocean Engineering (2024) Vol. 316, pp. 119968-119968
Closed Access | Times Cited: 1

Probabilistic failure assessment of oil and gas gathering pipelines using LightGBM algorithm
Xinhong Li, Yabei Liu, Renren Zhang, et al.
Reliability Engineering & System Safety (2024), pp. 110747-110747
Closed Access | Times Cited: 1

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