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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:

Time series prediction of ship maneuvering motion based on dynamic mode decomposition
Chang-Zhe Chen, Siyu Liu, Zao-Jian Zou, et al.
Ocean Engineering (2023) Vol. 286, pp. 115446-115446
Closed Access | Times Cited: 11

Showing 11 citing articles:

Premonition-driven deep learning model for short-term ship violent roll motion prediction based on the hull attitude premonition mechanism
Yao Wang, Xinrui lu, Yuan Chen
Applied Ocean Research (2024) Vol. 146, pp. 103970-103970
Closed Access | Times Cited: 6
Reconstruction and short-term prediction of wind pressure field on cylindrical coal sheds under undisturbed conditions using dynamic mode decomposition
Qingkuan Liu, Jing Huo, Shijie Liu, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2025) Vol. 258, pp. 106017-106017
Closed Access
Time series prediction of ship maneuvering motion at sea based on higher order dynamic mode decomposition
Chang-Zhe Chen, Zao-Jian Zou, Lu Zou, et al.
Ocean Engineering (2025) Vol. 323, pp. 120614-120614
Closed Access
Review of System Identification for Manoeuvring Modelling of Marine Surface Ships
Haitong Xu, C. Guedes Soares
Journal of Marine Science and Application (2025)
Open Access
Research on speed optimization of fixed route ship with low data dependence
Chaodong Hu, Yu Wang, Xu Han, et al.
Ocean Engineering (2025) Vol. 328, pp. 121065-121065
Closed Access
Time series prediction of ship course keeping in waves using higher order dynamic mode decomposition
Chang-Zhe Chen, Zao-Jian Zou, Lu Zou, et al.
Physics of Fluids (2023) Vol. 35, Iss. 9
Closed Access | Times Cited: 8
Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition
Matteo Diez, Mauro Gaggero, Andrea Serani
International Journal of Adaptive Control and Signal Processing (2024)
Closed Access | Times Cited: 2
Real-time prediction of ship maneuvering motion in waves based on an improved reduced-order model
Chang-Zhe Chen, Siyu Liu, Zao-Jian Zou, et al.
Ocean Engineering (2024) Vol. 312, pp. 119244-119244
Closed Access | Times Cited: 1
Physics-informed dynamic mode decomposition for reconstruction and prediction of dense particulate pipe flows
Zhen Zhang, H. R. Qi, Jing Huo, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access | Times Cited: 1
Real-Time Prediction of Ship Maneuvering Motion in Waves Based on an Improved Reduced-Order Model
Chang-Zhe Chen, Siyu Liu, Zao-Jian Zou, et al.
(2024)
Closed Access
Data-driven, non-linear ship response prediction based on time series of irregular, long-crested sea states amidships
Johanna Serr, Mathies Wedler, M. Stender, et al.
Ocean Engineering (2024) Vol. 317, pp. 119963-119963
Open Access
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