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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:

Revolutionizing Marine Traffic Management: A Comprehensive Review of Machine Learning Applications in Complex Maritime Systems
Irmina Durlik, Tymoteusz Miller, Lech Dorobczyński, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8099-8099
Open Access | Times Cited: 15

Showing 15 citing articles:

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
An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation
Van Vu, Phuoc Tai Le, Thi Mai Thom, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 158-158
Open Access | Times Cited: 5
Ship Anomalous Behavior Detection Based on BPEF Mining and Text Similarity
Yongfeng Suo, Yongxian Wang, Lei Cui
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 251-251
Open Access
Towards Predictive Maintenance in the Maritime Industry: A Component-Based Overview
Alexandros Kalafatelis, Νικόλαος Νομικός, Anastasios Giannopoulos, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 425-425
Open Access
Enhancing maritime education for digital sustainability
Hristos Karahalios
International Journal of Innovation Science (2025)
Closed Access
DMLBC: Dependable machine learning for seaports using blockchain technology
Claudia Durán, Christian Fernández‐Campusano, Raúl Carrasco, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 1, pp. 101918-101918
Open Access | Times Cited: 4
Development and Application of an Advanced Automatic Identification System (AIS)-Based Ship Trajectory Extraction Framework for Maritime Traffic Analysis
I. J. Huang, Man-Chun Lee, Li Chang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 9, pp. 1672-1672
Open Access | Times Cited: 2
Method in Selecting Vehicles for Interventions and Surveillance of Navigation Safety at Sea
Luka Vukić, Joško Vidov, Ivan Karin
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 6, pp. 979-979
Open Access | Times Cited: 2
Predictive Analysis of Maritime Congestion Using Dynamic Big Data and Multiscale Feature Analysis
Y.D. Wang Q.Q. Wu
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Research on Sailboat Sales Pricing Models Based on Random Forest and XGBoost Algorithms
Xiaomo Wang
Highlights in Business Economics and Management (2024) Vol. 36, pp. 85-91
Open Access
Deep Learning-Based Research on the Comprehensive Evaluation System for College Faculty Competence
Siqi Liu, Lili Jin, Hongwei Zhu
Smart innovation, systems and technologies (2024), pp. 245-254
Closed Access
AI-Driven Predictive Analysis for Urban Traffic Management: A Novel Approach
KM. Poonam
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2270-2277
Open Access
The impact of voluntary artificial intelligent self-driven education and training platforms on maritime security personnel: ISPS code
Ahmed Mohy Ibrahim
Journal of Transportation Security (2024) Vol. 17, Iss. 1
Closed Access
AI-Driven Urban Traffic Optimization to Assess Complex Traffic Patterns for Public Traffic Control and Mobility
V Prajwal, R Abhay, Rohith Gowda D, et al.
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 11, pp. 794-798
Open Access | Times Cited: 1
Revolutionizing E-Commerce - Deep Learning and Distributed Expression for Cutting-Edge Product Advertising
P. Elantheraiyan, K. Vinayagam, P. Sasikumar, et al.
(2023), pp. 1-6
Closed Access
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