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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:

Improving wave height prediction accuracy with deep learning
Jie Zhang, Feng Luo, Xiufeng Quan, et al.
Ocean Modelling (2023) Vol. 188, pp. 102312-102312
Closed Access | Times Cited: 13

Showing 13 citing articles:

A deep learning method for assessment of ecological potential in traffic environments
Lixin Yan, Yating Gao, Guo Jun-hua, et al.
Computers & Industrial Engineering (2025), pp. 110958-110958
Closed Access
Significant wave height prediction based on variational mode decomposition and dual network model
Jiaxin Chen, Shibao Li, Jinze Zhu, et al.
Ocean Engineering (2025) Vol. 323, pp. 120533-120533
Closed Access
An innovative deep learning-based approach for significant wave height forecasting
Şule Bekiryazıcı, Khalid Amarouche, Neyir Ozcan, et al.
Ocean Engineering (2025) Vol. 323, pp. 120623-120623
Closed Access
Combining Conv-LSTM and wind-wave data for enhanced sea wave forecasting in the Mediterranean Sea
Pietro Scala, Giorgio Manno, Emanuele Ingrassia, et al.
Ocean Engineering (2025) Vol. 326, pp. 120917-120917
Open Access
Dynamic Load Identification of Thin-Walled Cabin Based on CNN-LSTM-SA Neural Network
Jun Wang, Shaowei Song, Chang Liu, et al.
Materials (2025) Vol. 18, Iss. 6, pp. 1255-1255
Open Access
A Swin-Transformer-based deep-learning model for rolled-out predictions of regional wind waves
Wenyuan Tan, Chaoxia Yuan, Sudong Xu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Ocean wave prediction using Long Short-Term Memory (LSTM) and Extreme Gradient Boosting (XGBoost) in Tuban Regency for fisherman safety
Riswanda Ayu Dhiya'ulhaq, Anisya Safira, Indah Fahmiyah, et al.
MethodsX (2024) Vol. 13, pp. 103031-103031
Closed Access | Times Cited: 2
A Hybrid Deep Learning Framework for Accurate Prediction of Significant Wave Height in the North Pacific Ocean
Jianhui Wang, Zhendong Cui
(2024)
Closed Access
Analysis of intrinsic factors in accurate wave height prediction based on model interpretability
Qin-Rui Luo, Hang Xu
Ocean Engineering (2024) Vol. 309, pp. 118493-118493
Closed Access
Hybrid real-time wave forecasting model combining Gaussian process regression and neural networks
Yoshihiko Ide, Shinichiro Ozaki, Shuto Izutsu, et al.
Ocean Engineering (2024) Vol. 312, pp. 119028-119028
Closed Access
Enhancing typhoon wave hindcasting with random forests and BP neural networks in the SWAN model
Cheng Chen, Hongkun Lin, Dawei Guan, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
A numerical study for assessing the spectral wave characteristics during Hurricane Fiona
S. Vaishnavi, V. Prabhakar
The European Physical Journal Special Topics (2024)
Closed Access
Enhancing Predictive Accuracy of Wastewater Treatment Process: An Approach via Optimizing Data Collection and Increasing Operating State Diversity
Chuntao Pan, Yikun Huang, Yao Lu, et al.
Journal of Cleaner Production (2024), pp. 144621-144621
Closed Access
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