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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:

Prediction of significant wave height in hurricane area of the Atlantic Ocean using the Bi-LSTM with attention model
Qin-Rui Luo, Hang Xu, Long-Hu Bai
Ocean Engineering (2022) Vol. 266, pp. 112747-112747
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A hybrid VMD-LSTM/GRU model to predict non-stationary and irregular waves on the east coast of China
Lingxiao Zhao, Zhiyang Li, Leilei Qu, et al.
Ocean Engineering (2023) Vol. 276, pp. 114136-114136
Closed Access | Times Cited: 83
Storm surge modeling in the AI era: Using LSTM-based machine learning for enhancing forecasting accuracy
Stefanos Giaremis, Noujoud Nader, Clint Dawson, et al.
Coastal Engineering (2024) Vol. 191, pp. 104532-104532
Open Access | Times Cited: 8
Bio-multisensory-inspired gate-attention coordination model for forecasting short-term significant wave height
Han Wu, Xiao‐Zhi Gao, Jiani Heng
Energy (2024) Vol. 294, pp. 130887-130887
Closed Access | Times Cited: 7
Significant Wave Height Forecasting Based on EMD-TimesNet Networks
Zhuxin Ouyang, Yaoting Gao, Xuefeng Zhang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 536-536
Open Access | Times Cited: 6
XWaveNet: Enabling uncertainty quantification in short-term ocean wave height forecasts and extreme event prediction
Soumyashree Kar, Jason McKenna, Vishwamithra Sunkara, et al.
Applied Ocean Research (2024) Vol. 148, pp. 103994-103994
Closed Access | Times Cited: 5
Tropical Cyclone Trajectory Prediction with Integration of Shallow Convolutional Layer and Bi-LSTM
Keliang Wu, Bin Zhao, Yujie Yang, et al.
Applied and Computational Engineering (2025) Vol. 132, Iss. 1, pp. 70-82
Closed 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
An integrated decomposition algorithm based bidirectional LSTM neural network approach for predicting ocean wave height and ocean wave energy
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Ocean Engineering (2023) Vol. 281, pp. 114852-114852
Closed Access | Times Cited: 15
An Integrated Complete Ensemble Empirical Mode Decomposition with Adaptive Noise to Optimize LSTM for Significant Wave Height Forecasting
Lingxiao Zhao, Zhiyang Li, Junsheng Zhang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 2, pp. 435-435
Open Access | Times Cited: 13
Human-cognition-inspired deep model with its application to ocean wave height forecasting
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120606-120606
Closed Access | Times Cited: 12
An innovative deep learning model for accurate wave height predictions with enhanced performance for extreme waves
Xinlin Lü, Zhong Peng, C. Li, et al.
Ocean Engineering (2025) Vol. 322, pp. 120502-120502
Closed Access
A hybrid model based on chaos particle swarm optimization for significant wave height prediction
Can Yang, Qingshan Kong, Zuohang Su, et al.
Ocean Modelling (2025) Vol. 195, pp. 102511-102511
Closed Access
An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction
Peng Lu, Yuchen He, Wenhui Li, et al.
Electronic Research Archive (2025) Vol. 33, Iss. 2, pp. 697-724
Open Access
Bridging the Gap: Enhancing Storm Surge Prediction and Decision Support with Bidirectional Attention-Based LSTM
Vai-Kei Ian, Rita Tse, Su-Kit Tang, et al.
Atmosphere (2023) Vol. 14, Iss. 7, pp. 1082-1082
Open Access | Times Cited: 11
Ship pitch prediction method based on LSTMC and multi-head attention
Yuchao Wang, Yanbing Dou, Zhouqi Yang, et al.
Ocean Engineering (2024) Vol. 309, pp. 118236-118236
Closed Access | Times Cited: 3
Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model
Shaotong Zhang, Zixi Zhao, Jinran Wu, et al.
Ocean Engineering (2024) Vol. 313, pp. 119385-119385
Closed Access | Times Cited: 3
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 and accurate hybrid method for short-term forecasting significant wave height
Sheng Xu, Longfei Xiao, Huidong Zhang
Ocean Engineering (2024) Vol. 304, pp. 117914-117914
Closed Access | Times Cited: 3
A Machine-Learning Approach Based on Attention Mechanism for Significant Wave Height Forecasting
Jiao Shi, Tianyun Su, Xinfang Li, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1821-1821
Open 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
Predicting significant wave height in the South China Sea using the SAC-ConvLSTM model
Boyang Hou, Hanjiao Fu, Xin Li, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 2
A frequency domain-based machine learning architecture for short-term wave height forecasting
Ke Zhan, Chuanqing Li, Renchuan Zhu
Ocean Engineering (2023) Vol. 287, pp. 115844-115844
Closed Access | Times Cited: 6
Significant wave height prediction based on the local-EMD-WaveNet model
Tao Lv, Aifeng Tao, Zhen Zhang, et al.
Ocean Engineering (2023) Vol. 287, pp. 115900-115900
Closed Access | Times Cited: 5
Study on prediction of ocean effective wave height based on hybrid artificial intelligence model
Qin Huang, Zhendong Cui
Ocean Engineering (2023) Vol. 289, pp. 116137-116137
Closed Access | Times Cited: 5
Tidal analysis and prediction based on the Fourier basis pursuit spectrum
Feng Gao, Guocheng Wang, Lintao Liu, et al.
Ocean Engineering (2023) Vol. 278, pp. 114414-114414
Open Access | Times Cited: 4
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