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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 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: 10

Showing 10 citing articles:

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
Complex network-based risk analysis for maritime heavy casualties in China during 2012–2021
Weiliang Qiao, Hongtongyang Guo, Wanyi Deng, et al.
Ocean Engineering (2024) Vol. 308, pp. 118258-118258
Closed Access | Times Cited: 10
An integrated SWOT-based interval type-2 fuzzy AHP and TOPSIS methodology for digital transformation strategy selection in maritime safety
Muhammed Fatih Gulen, Esma Uflaz, Furkan Gumus, et al.
Ocean Engineering (2025) Vol. 323, pp. 120518-120518
Closed Access | Times Cited: 1
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
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
Spatial risk assessment of maritime transportation in offshore waters of China using machine learning and geospatial big data
Xiao Zhou
Ocean & Coastal Management (2023) Vol. 247, pp. 106934-106934
Closed Access | Times Cited: 11
Research on ship safety risk early warning model integrating transfer learning and multi-modal learning
Zhizheng Wu, Shengzheng Wang, He Xu, et al.
Applied Ocean Research (2024) Vol. 150, pp. 104139-104139
Closed Access | Times Cited: 2
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
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: 1
Dynamic Multi-Period Maritime Accident Susceptibility Assessment Based on AIS Data and Random Forest Model
Weihua Zhu, Shoudong Wang, Shengli Liu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 10, pp. 1935-1935
Open Access | Times Cited: 3
Predictive modelling in the shipping industry: analysis from supply and demand sides
Siying Zhu, Cheng‐Hsien Hsieh
Maritime Business Review (2024)
Open Access
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