Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Numerical study of a CNN-based model for regional wave prediction
Yu Jing, Lu Zhang, Wei Hao, et al.
Ocean Engineering (2022) Vol. 255, pp. 111400-111400
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting
Yun Wang, Houhua Xu, Mengmeng Song, et al.
Applied Energy (2023) Vol. 333, pp. 120601-120601
Closed Access | Times Cited: 62
Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network
Junchao Yang, Lulu Jia, Zhiwei Guo, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106002-106002
Closed Access | Times Cited: 48
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
Ruobin Gao, Xiaocai Zhang, Maohan Liang, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112652-112652
Closed Access | Times Cited: 1
Nonstationary significant wave height forecasting with a hybrid VMD-CNN model
Jianing Zhang, Xiangyu Xin, Yuchen Shang, et al.
Ocean Engineering (2023) Vol. 285, pp. 115338-115338
Closed Access | Times Cited: 31
DeepBlue: Advanced convolutional neural network applications for ocean remote sensing
Haoyu Wang, Xiaofeng Li
IEEE Geoscience and Remote Sensing Magazine (2023) Vol. 12, Iss. 1, pp. 138-161
Open Access | Times Cited: 28
Machine learning in coastal bridge hydrodynamics: A state-of-the-art review
Guoji Xu, Chengjie Ji, Yong Xu, et al.
Applied Ocean Research (2023) Vol. 134, pp. 103511-103511
Closed Access | Times Cited: 21
DTTR: Encoding and decoding monthly runoff prediction model based on deep temporal attention convolution and multimodal fusion
Wenchuan Wang, Wei-can Tian, Xiao-xue Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131996-131996
Closed Access | Times Cited: 13
Multivariate GRU and LSTM models for wave forecasting and hindcasting in the southern Caspian Sea
Mohamad Javad Alizadeh, Vahid Nourani
Ocean Engineering (2024) Vol. 298, pp. 117193-117193
Closed Access | Times Cited: 12
A regional wind wave prediction surrogate model based on CNN deep learning network
Limin Huang, Yu Jing, Hangyu Chen, et al.
Applied Ocean Research (2022) Vol. 126, pp. 103287-103287
Closed Access | Times Cited: 31
Attention mechanism based neural networks for structural post-earthquake damage state prediction and rapid fragility analysis
Youjun Chen, Zeyang Sun, Ruiyang Zhang, et al.
Computers & Structures (2023) Vol. 281, pp. 107038-107038
Closed Access | Times Cited: 21
Regional forecasting of significant wave height and mean wave period using EOF-EEMD-SCINet hybrid model
Jie Ding, Fangyu Deng, Qi Liu, et al.
Applied Ocean Research (2023) Vol. 136, pp. 103582-103582
Closed Access | Times Cited: 17
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
ANN-LSTM-A Water Consumption Prediction Based on Attention Mechanism Enhancement
Xin Zhou, Xin Meng, Zhenyu Li
Energies (2024) Vol. 17, Iss. 5, pp. 1102-1102
Open Access | Times Cited: 4
Enhancing the accuracy of metocean hindcasts with machine learning models
Mariana O. Costa, Ricardo Martins Campos, C. Guedes Soares
Ocean Engineering (2023) Vol. 287, pp. 115724-115724
Open Access | Times Cited: 11
Left-right brain interaction inspired bionic deep network for forecasting significant wave height
Han Wu, Yan Liang, Xiao‐Zhi Gao
Energy (2023) Vol. 278, pp. 127995-127995
Closed Access | Times Cited: 9
A fast, high-precision deep learning model for regional wave prediction
Yuliang Liu, Limin Huang, Xuewen Ma, et al.
Ocean Engineering (2023) Vol. 288, pp. 115949-115949
Closed Access | Times Cited: 9
An Improved Deep Structure for Accurately Brain Tumor Recognition
Mohamed Maher Ata, Reem N. Yousef, Faten Khalid Karim, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 1597-1616
Open Access | Times Cited: 8
Prediction of irregular wave (current)-induced pore water pressure around monopile using machine learning methods
Haiyang Cheng, Yongzhou Cheng, Yuwei Zheng, et al.
Coastal Engineering (2023) Vol. 182, pp. 104291-104291
Closed Access | Times Cited: 8
Application of a deep learning-based discrete weather data continuousization model in ship route optimization
Zhizheng Wu, Shengzheng Wang, Qiumeng Yuan, et al.
Ocean Engineering (2023) Vol. 285, pp. 115435-115435
Closed Access | Times Cited: 8
A novel hybrid approach to mooring tension prediction for semi-submersible offshore platforms
Lihao Yuan, Yang Chen, Yingfei Zan, et al.
Ocean Engineering (2023) Vol. 287, pp. 115776-115776
Closed Access | Times Cited: 8
Experimental investigation on seabed response characteristics considering vibration effect of offshore monopile foundation
Ziqin Yu, Yongzhou Cheng, Haiyang Cheng
Ocean Engineering (2023) Vol. 288, pp. 116000-116000
Closed Access | Times Cited: 7
STGWN: Enhanced spatiotemporal wave forecasting using multiscale features
Aming Yue, Wenhua Wu
Applied Ocean Research (2024) Vol. 145, pp. 103923-103923
Closed Access | Times Cited: 2
Hybrid model-driven and data-driven method for predicting concrete creep considering uncertainty quantification
Yiming Yang, Chengkun Zhou, Jianxin Peng, et al.
Frontiers of Structural and Civil Engineering (2024)
Closed Access | Times Cited: 2
Advanced wave energy conversion technologies for sustainable and smart sea: A comprehensive review
Hai Li, Xiaodan Shi, Weihua Kong, et al.
Renewable Energy (2024), pp. 121980-121980
Closed Access | Times Cited: 2
Yield and Properties Prediction Based on the Multicondition LSTM Model for the Solvent Deasphalting Process
Jian Long, Yifan Chen, Deng‐Ke Cao, et al.
ACS Omega (2023) Vol. 8, Iss. 6, pp. 5437-5450
Open Access | Times Cited: 6
Page 1 - Next Page

Scroll to top