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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 hierarchical methodology for vessel traffic flow prediction using Bayesian tensor decomposition and similarity grouping
Wenbin Xing, Jingbo Wang, Kaiwen Zhou, et al.
Ocean Engineering (2023) Vol. 286, pp. 115687-115687
Open Access | Times Cited: 8

Showing 8 citing articles:

Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships
Huanhuan Li, Wenbin Xing, Hang Jiao, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 181, pp. 103367-103367
Open Access | Times Cited: 28
A hybrid deep learning method for the prediction of ship time headway using automatic identification system data
Quandang Ma, Xu Du, Cong Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108172-108172
Open Access | Times Cited: 8
Spatio-temporal Graph Neural Network Fused with Maritime Knowledge for Predicting Traffic Flows in Ports
Qiang Mei, Zhaoxuan Li, Qinyou Hu, et al.
Regional Studies in Marine Science (2025), pp. 104106-104106
Closed Access
Temporal-TimesNet: a novel hybrid model for vessel traffic flow multi-step prediction
Dong Zhang, Lining Zhao, Zongying Liu, et al.
Ships and Offshore Structures (2025), pp. 1-14
Closed Access
Deep multi-view information-powered vessel traffic flow prediction for intelligent transportation management
Huanhuan Li, Yu Zhang, Yan Li, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 197, pp. 104072-104072
Open Access
Spatial-temporal analysis of carbon emissions from ships in ports based on AIS data
Yuhao Qi, Jiaxuan Yang, Ken Sinkou Qin
Ocean Engineering (2024) Vol. 308, pp. 118394-118394
Closed Access | Times Cited: 4
A spatial-temporal attention method for the prediction of multi ship time headways using AIS data
Quandang Ma, Xu Du, Mingyang Zhang, et al.
Ocean Engineering (2024) Vol. 311, pp. 118927-118927
Open Access | Times Cited: 3
Geohash coding-powered deep learning network for vessel trajectory prediction using clustered AIS data in maritime Internet of Things industries
Yan Li, Bi Yu Chen, Qi Liu, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109611-109611
Closed Access | Times Cited: 2
An Improved Artificial Potential Field Method for Ship Path Planning Based on Artificial Potential Field—Mined Customary Navigation Routes
Yongfeng Suo, Xinyu Chen, Yue Jie, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 5, pp. 731-731
Open Access | Times Cited: 1
Analysis of vessel traffic flow characteristics in inland restricted waterways using multi-source data
Wenzhang Yang, Peng Liao, Shangkun Jiang, et al.
Ocean Engineering (2024) Vol. 317, pp. 120065-120065
Closed Access
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