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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:

Uncertainties in the application of artificial neural networks in ocean engineering
Nerea Portillo Juan, Clara Matutano, Vicente Negro Valdecantos
Ocean Engineering (2023) Vol. 284, pp. 115193-115193
Open Access | Times Cited: 15

Showing 15 citing articles:

Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks
Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 1, pp. 69-69
Open Access | Times Cited: 1
A novel quality control method of time-series ocean wave observation data combining deep-learning prediction and statistical analysis
Jingrong Xie, Hao Jiang, Wei Song, et al.
Journal of Sea Research (2023) Vol. 195, pp. 102439-102439
Open Access | Times Cited: 13
Can three-dimensional nitrate structure be reconstructed from surface information with artificial intelligence? — A proof-of-concept study
Guangyu Gary Yang, Qishuo Wang, Jiacheng Feng, et al.
The Science of The Total Environment (2024) Vol. 924, pp. 171365-171365
Closed Access | Times Cited: 5
Real-time prediction of port water levels based on EMD-PSO-RBFNN
Lijun Wang, Shenghao Liao, Sisi Wang, et al.
Frontiers in Marine Science (2025) Vol. 12
Open Access
Sea Surface Temperature Prediction Enhanced by Exploring Spatiotemporal Correlation Based on LSTM and Gaussian Process
Zhenglin Li, Q.A. Zhu, Dan Zhang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1373-1373
Open Access
A Concise Account for Challenges of Machine Learning in Seakeeping
Hamed Majidian, Hossein Enshaei, Damon Howe
Procedia Computer Science (2025) Vol. 253, pp. 2849-2858
Open Access
Modeling of Exhaust Gas Temperature at the Turbine Outlet Using Neural Networks and a Physical Expansion Model
Alessandro Brusa, Adriano Grossi, M. Lenzi, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1721-1721
Open Access
An adaptive real-time modular tidal level prediction mechanism based on EMD and Lipschitz quotients method
Jianchuan Yin, Huifeng Wang, Nini Wang, et al.
Ocean Engineering (2023) Vol. 289, pp. 116297-116297
Closed Access | Times Cited: 11
Enhancing membrane fouling control in wastewater treatment processes through artificial intelligence modeling: research progress and future perspectives
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
Euro-Mediterranean Journal for Environmental Integration (2024)
Open Access | Times Cited: 3
Data-driven and physics-based approach for wave downscaling: A comparative study
Nerea Portillo Juan, Javier Olalde Rodríguez, Vicente Negro Valdecantos, et al.
Ocean Engineering (2023) Vol. 285, pp. 115380-115380
Open Access | Times Cited: 7
Response and reliability analysis of a nonlinear VEH systems with FOPID controller by improved stochastic averaging method and LBFNN algorithm
Yu Guan, Wei Li, Dražan Kozak, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110206-110206
Closed Access | Times Cited: 2
Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access
Developing a Digital Twin Model for Improved Pasture Management at Sheep Farm to Mitigate the Impact of Climate Change
Ntebaleng Junia Lemphane, Ben Kotze, Rangith Baby Kuriakose
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access
The surrogate model for short-term extreme response prediction based on ANN and Kriging algorithm
Guanhua Zhao, Yuliang Zhao, Sheng Dong
Applied Ocean Research (2024) Vol. 152, pp. 104196-104196
Closed Access
Tide level prediction during typhoons based on variable topology in graph convolution recurrent neural networks
Xianwu Shi, Peng Chen, Zuchao Ye, et al.
Ocean Engineering (2024) Vol. 312, pp. 119228-119228
Closed Access
Wave-Former: Lag removing univariate long time series forecasting transformer for ocean waves
Shreyas Dixit, Pradnya Dixit
Ocean Engineering (2024) Vol. 312, pp. 119109-119109
Closed Access
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