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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:

Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks
Robertas Jurkus, Julius Venskus, Povilas Treigys
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106448-106448
Closed Access | Times Cited: 16

Showing 16 citing articles:

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: 70
Maneuverability prediction of ship nonlinear motion models based on parameter identification and optimization
Yang Liu, Shun An, Longjin Wang, et al.
Measurement (2024) Vol. 236, pp. 115033-115033
Closed Access | Times Cited: 10
Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks
Yuyol Shin, Nam-Woo Kim, Hyeyeong Lee, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107936-107936
Closed Access | Times Cited: 8
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
Research on Ship-Type Recognition Based on Fusion of Ship Trajectory Image and AIS Time Series Data
Zhengpeng Pu, Hong Yuan, Hu Yuling, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 431-431
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
Surface Vessels Detection and Tracking Method and Datasets with Multi-Source Data Fusion in Real-World Complex Scenarios
Wenbin Huang, Hui Feng, Haixiang Xu, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2179-2179
Open Access
High-Precision Surfacing Position Prediction for Underwater Gliders via Coordinate Transformation
Yaojian Zhou, M.G. Kang, Jiancheng Yu, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 4, pp. 760-760
Open Access
Multi-factor influence-based ship trajectory prediction analysis via deep learning
Hang Jiao, Huanhuan Li, Jasmine Siu Lee Lam, et al.
Journal of Marine Engineering & Technology (2025), pp. 1-19
Open Access
PCTP-Net: A Planning Coupled Multi-target Vehicles Trajectory Prediction Network for Autonomous Vehicle
Chenyang Li, Shuang Song, Tengchao Huang, et al.
Automotive Innovation (2025)
Closed Access
Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models
Robertas Jurkus, Julius Venskus, Jurgita Markevičiūtė, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1365-1365
Open Access
Machine learning applications for risk assessment in maritime transport: Current status and future directions
Y. Lin, Xue Li, Kum Fai Yuen
Engineering Applications of Artificial Intelligence (2025) Vol. 155, pp. 110959-110959
Closed Access
Improved Whale Optimization Algorithm for Maritime Autonomous Surface Ships Using Three Objectives Path Planning Based on Meteorological Data
Gongxing Wu, Hongyang Li, Weimin Mo
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1313-1313
Open Access | Times Cited: 1
Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach
Kathrin Donandt, Dirk Söffker
2022 25th International Conference on Information Fusion (FUSION) (2024), pp. 1-8
Open Access | Times Cited: 1
Degradation trend evaluation for smart meters under high dry heat natural environments
Jun Ma, Zhaosheng Teng, Qiu Tang, et al.
Measurement (2023) Vol. 220, pp. 113410-113410
Closed Access | Times Cited: 1
Data- and Model-Driven Crude Oil Supply Risk Assessment of China Considering Maritime Transportation Factors
Gangqiao Wang, Qianrong Yin, Mingzhu Yu, et al.
Journal of Marine Science and Engineering (2023) Vol. 12, Iss. 1, pp. 52-52
Open Access
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