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 survey of the opportunities and challenges of supervised machine learning in maritime risk analysis
Andrew Rawson, Mario Brito
Transport Reviews (2022) Vol. 43, Iss. 1, pp. 108-130
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network
Yuhao Cao, Xinjian Wang, Yihang Wang, et al.
Ocean Engineering (2023) Vol. 269, pp. 113563-113563
Open Access | Times Cited: 97

Research in marine accidents: A bibliometric analysis, systematic review and future directions
Yuhao Cao, Xinjian Wang, Zaili Yang, et al.
Ocean Engineering (2023) Vol. 284, pp. 115048-115048
Open Access | Times Cited: 90

A review on risk assessment methods for maritime transport
Xi Huang, Yuanqiao Wen, Fan Zhang, et al.
Ocean Engineering (2023) Vol. 279, pp. 114577-114577
Closed Access | Times Cited: 61

Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review
Ying Yang, Yang Liu, Guorong Li, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 183, pp. 103426-103426
Open Access | Times Cited: 39

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

AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions
Maohan Liang, Jianlong Su, Ryan Wen Liu, et al.
Ocean Engineering (2024) Vol. 306, pp. 117987-117987
Open Access | Times Cited: 21

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: 9

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

Ship imaging trajectory extraction via an aggregated you only look once (YOLO) model
Xinqiang Chen, Meilin Wang, Jun Ling, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107742-107742
Closed Access | Times Cited: 41

Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications
Irmina Durlik, Tymoteusz Miller, Danuta Cembrowska-Lech, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9742-9742
Open Access | Times Cited: 34

Machine Learning: Models, Challenges, and Research Directions
Tala Talaei Khoei, Naima Kaabouch
Future Internet (2023) Vol. 15, Iss. 10, pp. 332-332
Open Access | Times Cited: 27

Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention
Mohammad Abavisani, Alireza Khoshrou, Sobhan Karbas Foroushan, et al.
Current Research in Biotechnology (2024) Vol. 7, pp. 100211-100211
Open Access | Times Cited: 17

Hazard identification and risk analysis of maritime autonomous surface ships: A systematic review and future directions
Juncheng Tao, Zhengjiang Liu, Xinjian Wang, et al.
Ocean Engineering (2024) Vol. 307, pp. 118174-118174
Open Access | Times Cited: 16

Application of bayesian network in the maritime industry: Comprehensive literature review
Isaac Animah
Ocean Engineering (2024) Vol. 302, pp. 117610-117610
Closed Access | Times Cited: 13

Dynamic risk analysis of allision in port areas using DBN based on HFACS-PV
Ozan Bayazit, Mehmet Kaptan
Ocean Engineering (2024) Vol. 298, pp. 117183-117183
Closed Access | Times Cited: 12

Intelligent ship collision avoidance in maritime field: A bibliometric and systematic review
Qinghua Zhu, Yongtao Xi, Jinxian Weng, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124148-124148
Closed Access | Times Cited: 12

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

Differential Evolution Deep Reinforcement Learning Algorithm for Dynamic Multiship Collision Avoidance with COLREGs Compliance
Yang Shen, Zuowen Liao, Dan Chen
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 596-596
Open Access | Times Cited: 1

Exploring spatial patterns and environmental risk factors for global maritime accidents: A 20-year analysis
Xiao Zhou, Xiaoguang Ruan, Han Wang, et al.
Ocean Engineering (2023) Vol. 286, pp. 115628-115628
Closed Access | Times Cited: 20

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices
Hoang Phuong Nguyen, Cao Thao Uyen Nguyen, Thi Men Tran, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 1-1
Open Access | Times Cited: 8

Cluster-based Visualization of human element interactions in marine accidents
Muammer Nurduhan, Barış Kuleyin
Ocean Engineering (2024) Vol. 298, pp. 117153-117153
Closed Access | Times Cited: 5

Data-Driven Approaches for Accident Analysis in Sociochemical Systems
Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, et al.
Studies in systems, decision and control (2024), pp. 457-486
Closed Access | Times Cited: 5

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: 5

Mitigating Maritime Cybersecurity Risks Using AI-Based Intrusion Detection Systems and Network Automation During Extreme Environmental Conditions
Akan Ime Ibokette, Tunde Olamide Ogundare, Abraham Peter Anyebe, et al.
International Journal of Scientific Research and Modern Technology. (2024) Vol. 3, Iss. 10, pp. 65-91
Open Access | Times Cited: 5

Railway accident causation analysis: Current approaches, challenges and potential solutions
Wei-Ting Hong, Geoffrey Clifton, John D. Nelson
Accident Analysis & Prevention (2023) Vol. 186, pp. 107049-107049
Open Access | Times Cited: 13

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