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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:

A machine learning approach for monitoring ship safety in extreme weather events
Andrew Rawson, Mario Brito, Zoheir Sabeur, et al.
Safety Science (2021) Vol. 141, pp. 105336-105336
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Prediction of the severity of marine accidents using improved machine learning
Yinwei Feng, Xinjian Wang, Qilei Chen, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 188, pp. 103647-103647
Open Access | Times Cited: 29
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: 28
A machine learning-based data-driven method for risk analysis of marine accidents
Yinwei Feng, Huanxin Wang, Guoqing Xia, et al.
Journal of Marine Engineering & Technology (2024), pp. 1-12
Closed Access | Times Cited: 23
Data-driven methods for detection of abnormal ship behavior: Progress and trends
Yukuan Wang, Jingxian Liu, Ryan Wen Liu, et al.
Ocean Engineering (2023) Vol. 271, pp. 113673-113673
Closed Access | Times Cited: 42
Research on ship collision avoidance path planning based on modified potential field ant colony algorithm
Pan Gao, Zhou Li, Xu Zhao, et al.
Ocean & Coastal Management (2023) Vol. 235, pp. 106482-106482
Closed Access | Times Cited: 41
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
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: 11
Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution
Leonardo Leoni, Ahmad BahooToroody, Mohammad Mahdi Abaei, et al.
Safety Science (2023) Vol. 170, pp. 106363-106363
Open Access | Times Cited: 20
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
Yi Niu, Yunxiao Fan, Xing Ju
Safety Science (2023) Vol. 171, pp. 106381-106381
Closed Access | Times Cited: 20
Predictive digital twins for autonomous surface vessels
Agus Hasan, Augie Widyotriatmo, Eirik Fagerhaug, et al.
Ocean Engineering (2023) Vol. 288, pp. 116046-116046
Open Access | Times Cited: 17
Severity prediction and risk assessment for non-traditional safety events in sea lanes based on a random forest approach
Jing Lu, Wan Su, Meizhi Jiang, et al.
Ocean & Coastal Management (2022) Vol. 225, pp. 106202-106202
Closed Access | Times Cited: 24
Causal diagnostic model and governance strategies to reduce pollution from ship accidents in Chinese waters
Jihong Chen, Hao Chen, Jia Shi, et al.
Marine Pollution Bulletin (2024) Vol. 207, pp. 116817-116817
Closed Access | Times Cited: 6
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
Maritime transportation risk assessment: A multilevel node relationship-based fuzzy bayesian network
Jing Liang, J. L. Liu
Ocean Engineering (2024) Vol. 312, pp. 119204-119204
Closed Access | Times Cited: 5
Intelligent geospatial maritime risk analytics using the Discrete Global Grid System
Andrew Rawson, Zoheir Sabeur, Mario Brito
Big Earth Data (2021) Vol. 6, Iss. 3, pp. 294-322
Open Access | Times Cited: 28
A deep spatiotemporal approach in maritime accident prediction: A case study of the territorial sea of South Korea
Zahra Nourmohammadi, Fatemeh Nourmohammadi, Lee-Hyung Kim, et al.
Ocean Engineering (2023) Vol. 270, pp. 113565-113565
Closed Access | Times Cited: 12
Predicting types of human-related maritime accidents with explanations using selective ensemble learning and SHAP method
He Lan, Shutian Wang, Wenfeng Zhang
Heliyon (2024) Vol. 10, Iss. 9, pp. e30046-e30046
Open Access | Times Cited: 4
Uncovering Research Trends on Artificial Intelligence Risk Assessment in Businesses: A State-of-the-Art Perspective Using Bibliometric Analysis
Juan Carlos Muria-Tarazón, Juan Vicente Oltra Gutiérrez, Raúl Oltra-Badenes, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1412-1412
Open Access
Skip or not: Hybrid machine learning for decision support in strategic port-skipping behavior to enhance liner shipping reliability
Xingcan Fan, Jing Lyu, Lingye Zhang, et al.
Ocean Engineering (2025) Vol. 324, pp. 120730-120730
Closed Access
The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review
Xiao Zhou, Zhou Huang, Tian Xia, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 138, pp. 104444-104444
Closed 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
Machine Learning in Maritime Safety for Autonomous Shipping: A Bibliometric Review and Future Trends
Jie Xue, Peijie Yang, Qiang Li, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 4, pp. 746-746
Open Access
Improved deep learning method and high-resolution reanalysis model-based intelligent marine navigation
Zeguo Zhang, Liang Cao, Jianchuan Yin
Frontiers in Marine Science (2025) Vol. 12
Open Access
Improved identification of maritime risk-influencing factors using AIS data in regression analysis
Spencer August Dugan, Ingrid Bouwer Utne
Reliability Engineering & System Safety (2025), pp. 111156-111156
Closed Access
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