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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:

An AIS-based deep learning framework for regional ship behavior prediction
Brian C. Murray, Lokukaluge P. Perera
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107819-107819
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond
Xiaocai Zhang, Xiuju Fu, Zhe Xiao, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 19980-19998
Closed Access | Times Cited: 79
AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
Huanhuan Li, Hang Jiao, Zaili Yang
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 175, pp. 103152-103152
Open Access | Times Cited: 77
A machine learning method for the prediction of ship motion trajectories in real operational conditions
Mingyang Zhang, Pentti Kujala, Mashrura Musharraf, et al.
Ocean Engineering (2023) Vol. 283, pp. 114905-114905
Open Access | Times Cited: 65
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: 59
Collision avoidance for autonomous ship using deep reinforcement learning and prior-knowledge-based approximate representation
Chengbo Wang, Xinyu Zhang, Zaili Yang, et al.
Frontiers in Marine Science (2023) Vol. 9
Open Access | Times Cited: 40
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: 34
Ship visual trajectory exploitation via an ensemble instance segmentation framework
Xinqiang Chen, W.-Y. Chen, Bing Wu, et al.
Ocean Engineering (2024) Vol. 313, pp. 119368-119368
Closed Access | Times Cited: 20
A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction
Duong Nguyen, Ronan Fablet
IEEE Access (2024) Vol. 12, pp. 21596-21609
Open Access | Times Cited: 15
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
Maritime traffic probabilistic prediction based on ship motion pattern extraction
Hao Rong, A.P. Teixeira, C. Guedes Soares
Reliability Engineering & System Safety (2021) Vol. 217, pp. 108061-108061
Closed Access | Times Cited: 69
A deep learning approach for imbalanced crash data in predicting highway-rail grade crossings accidents
Lu Gao, Pan Lu, Yihao Ren
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108019-108019
Closed Access | Times Cited: 56
Towards a digital twin approach for vessel-specific fatigue damage monitoring and prognosis
Eric VanDerHorn, Zhenghua Wang, Sankaran Mahadevan
Reliability Engineering & System Safety (2021) Vol. 219, pp. 108222-108222
Closed Access | Times Cited: 55
Data-driven methods for detection of abnormal ship behavior: Progress and trends
Yukuan Wang, Jingxian Liu, Ryan Wen Liu, et al.
Ocean Engineering (2023) Vol. 271, pp. 113673-113673
Closed Access | Times Cited: 38
A model of maritime accidents prediction based on multi-factor time series analysis
Jinhui Wang, Yu Zhou, Lei Zhuang, et al.
Journal of Marine Engineering & Technology (2023) Vol. 22, Iss. 3, pp. 153-165
Closed Access | Times Cited: 23
A Novel Ship Speed and Heading Estimation Approach Using Radar Sequential Images
Xueqian Xu, Bing Wu, Lei Xie, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 10, pp. 11107-11120
Closed Access | Times Cited: 23
G-Trans: A hierarchical approach to vessel trajectory prediction with GRU-based transformer
Huanqun Xue, Shuang Wang, Menglei Xia, et al.
Ocean Engineering (2024) Vol. 300, pp. 117431-117431
Closed Access | Times Cited: 14
Vessel trajectory prediction with recurrent neural networks: an evaluation of datasets, features, and architectures
Isaac Slaughter, Jagir Laxmichand Charla, Martin Siderius, et al.
Journal of Ocean Engineering and Science (2024)
Open Access | Times Cited: 9
A big data analytics method for the evaluation of maritime traffic safety using automatic identification system data
Quandang Ma, Huan Tang, Cong Liu, et al.
Ocean & Coastal Management (2024) Vol. 251, pp. 107077-107077
Open Access | Times Cited: 9
The impact of shipping 4.0 on controlling shipping accidents: A systematic literature review
Arash Sepehri, Hadi Rezaei Vandchali, Atiq W. Siddiqui, et al.
Ocean Engineering (2021) Vol. 243, pp. 110162-110162
Open Access | Times Cited: 51
Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics
Mateusz Gil, Paweł Kozioł, Krzysztof Wróbel, et al.
Reliability Engineering & System Safety (2021) Vol. 220, pp. 108311-108311
Open Access | Times Cited: 41
Probabilistic Maritime Trajectory Prediction in Complex Scenarios Using Deep Learning
Kristian Aalling Sørensen, Peder Heiselberg, H. Heiselberg
Sensors (2022) Vol. 22, Iss. 5, pp. 2058-2058
Open Access | Times Cited: 35
Maritime Traffic Route Detection Framework Based on Statistical Density Analysis From AIS Data Using a Clustering Algorithm
Jeong-Seok Lee, Hyeong-Tak Lee, Ik-Soon Cho
IEEE Access (2022) Vol. 10, pp. 23355-23366
Open Access | Times Cited: 34
SeaBil: Self-attention-weighted ultrashort-term deep learning prediction of ship maneuvering motion
Ning Wang, Xiangjun Kong, Boyu Ren, et al.
Ocean Engineering (2023) Vol. 287, pp. 115890-115890
Closed Access | Times Cited: 19
A CNN-LSTM Architecture for Marine Vessel Track Association Using Automatic Identification System (AIS) Data
Md Asif Bin Syed, Imtiaz Ahmed
Sensors (2023) Vol. 23, Iss. 14, pp. 6400-6400
Open Access | Times Cited: 17
Ship Trajectory Prediction: An Integrated Approach Using ConvLSTM-Based Sequence-to-Sequence Model
Wenxiong Wu, Pengfei Chen, Linying Chen, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1484-1484
Open Access | Times Cited: 16
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