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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:

Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
Huanhuan Li, Hang Jiao, Zaili Yang
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107062-107062
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review
Guangnian Xiao, Daoqi Yang, Lang Xu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 624-624
Open Access | Times Cited: 36
Sustainable Maritime Transport: A Review of Intelligent Shipping Technology and Green Port Construction Applications
Guangnian Xiao, Yiqun Wang, Ruijing Wu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1728-1728
Open Access | Times Cited: 36
Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety
Chengbo Wang, Xinyu Zhang, Hongbo Gao, et al.
Ocean & Coastal Management (2024) Vol. 253, pp. 107161-107161
Closed Access | Times Cited: 20
Time-evolving graph-based approach for multi-ship encounter analysis: Insights into ship behavior across different scenario complexity levels
Yuerong Yu, Kezhong Liu, Wei Kong, et al.
Transportation Research Part A Policy and Practice (2025) Vol. 194, pp. 104427-104427
Closed Access | Times Cited: 2
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: 32
Adaptive collision avoidance decisions in autonomous ship encounter scenarios through rule-guided vision supervised learning
Kangjie Zheng, Xinyu Zhang, Chengbo Wang, et al.
Ocean Engineering (2024) Vol. 297, pp. 117096-117096
Closed Access | Times Cited: 15
Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories
Yan Li, Huanhuan Li, Chao Zhang, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 163, pp. 104648-104648
Open Access | Times Cited: 10
A data mining-then-predict method for proactive maritime traffic management by machine learning
Zhao Liu, Wanli Chen, Cong Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108696-108696
Open Access | Times Cited: 10
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: 9
Medical assisted-segmentation system based on global feature and stepwise feature integration for feature loss problem
Zhitao Huang, Ziqiang Ling, Fangfang Gou, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105814-105814
Closed Access | Times Cited: 19
Benchmarking feed-forward randomized neural networks for vessel trajectory prediction
R.C.H. Cheng, Maohan Liang, Huanhuan Li, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109499-109499
Closed Access | Times Cited: 6
A novel high-precision and self-adaptive prediction method for ship energy consumption based on the multi-model fusion approach
Kai Wang, Xing Liu, Xin Guo, et al.
Energy (2024), pp. 133265-133265
Closed Access | Times Cited: 6
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
Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling
L. Cai, Wenfeng Li, Huanhuan Li, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 166, pp. 104755-104755
Closed Access | Times Cited: 5
Ship fuel consumption prediction based on transfer learning: Models and applications
Xi Luo, Mingyang Zhang, Yi Han, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109769-109769
Closed Access | Times Cited: 5
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: 11
Vessel Trajectory Prediction for Enhanced Maritime Navigation Safety: A Novel Hybrid Methodology
Yuhao Li, Qing Yu, Zhisen Yang
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1351-1351
Open Access | Times Cited: 4
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: 4
Blackhole-Dtp: A Distributed Trajectory Privacy Protection Strategy with Deep Trajectory Training and Data Blackhole
Jing Zhang, H. Hou, Wenlong Shi, et al.
(2025)
Closed Access
Application of switching-input LSTM network for vessel trajectory prediction
Weihong Wang, Yi Zuo, Licheng Zhao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
HDFormer: A transformer-based model for fishing vessel trajectory prediction via multi-source data fusion
Siyuan Lin, Yufei Jiang, Feng Hong, et al.
Ocean Engineering (2025) Vol. 320, pp. 120309-120309
Open Access
SNIINet: Trajectory prediction using ship navigation information interaction-aware neural network
Licheng Zhao, Yi Zuo, Wenjun Zhang, et al.
Ocean Engineering (2025) Vol. 321, pp. 120368-120368
Closed Access
A novel RNN architecture to improve the precision of ship trajectory predictions
Martha Dais Ferreira, Jessica N.A. Campbell
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
Incorporating prior knowledge of collision risk into deep learning networks for ship trajectory prediction in the maritime Internet of Things industry
Yu Zhang, Ping Tu, Zhiyuan Zhao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110311-110311
Closed 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
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