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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:

A BiLSTM hybrid model for ship roll multi-step forecasting based on decomposition and hyperparameter optimization
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Ocean Engineering (2021) Vol. 242, pp. 110138-110138
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A data driven method for multi-step prediction of ship roll motion in high sea states
Dan Zhang, Xi Zhou, Zihao Wang, et al.
Ocean Engineering (2023) Vol. 276, pp. 114230-114230
Open Access | Times Cited: 24
A Data-Driven Method for Ship Motion Forecast
Zhiqiang Jiang, Yongyan Ma, Weijia Li
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 2, pp. 291-291
Open Access | Times Cited: 8
A long sequence time-series forecasting model for ship motion attitude based on informer
Lingyi Hou, X. Wang, Hang Sun, et al.
Ocean Engineering (2024) Vol. 305, pp. 117861-117861
Closed Access | Times Cited: 8
Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach
Kunyu Wang, Xianguo Wu, Limao Zhang, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101854-101854
Closed Access | Times Cited: 33
Short-Term Prediction of Ship Roll Motion in Waves Based on Convolutional Neural Network
Xian-Rui Hou, Sijun Xia
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 1, pp. 102-102
Open Access | Times Cited: 7
Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing
Shiyang Li, Tongtong Wang, Guoyuan Li, et al.
Ocean Engineering (2024) Vol. 295, pp. 116917-116917
Open Access | Times Cited: 7
A time-varying ensemble model for ship motion prediction based on feature selection and clustering methods
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Ocean Engineering (2023) Vol. 270, pp. 113659-113659
Closed Access | Times Cited: 15
YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification
Abdülkadir Karacı, Kemal Akyol
Neural Computing and Applications (2023) Vol. 35, Iss. 17, pp. 12583-12598
Closed Access | Times Cited: 14
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: 5
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: 4
STIA-DJANet: Spatial-Temporal Intention-Aware vessel trajectory prediction based on Dual-Joint Attention Network for e-navigation
Junhao Jiang, Yi Zuo
Expert Systems with Applications (2024), pp. 125550-125550
Closed Access | Times Cited: 4
Research on the Development of Crack Diseases at the Jiayuguan Rammed Earth Site in Multivariate Time Series Based on Deep Learning and Transfer Learning
Li Yu, Kai Cui, Xiang Zhang, et al.
Journal on Computing and Cultural Heritage (2025)
Closed Access
AUV maneuvering modeling using system identification methods with adaptive VMD, improved CNN, and free-running model test
Bin Mei, Chenyu Li, Dongdong Liu, et al.
Ocean Engineering (2025) Vol. 324, pp. 120645-120645
Closed Access
Projectile trajectory and launch point prediction based on CORR-CNN-BiLSTM-Attention model
Zhanpeng Gao, Dingye Zhang, Wenjun Yi
Expert Systems with Applications (2025) Vol. 275, pp. 127045-127045
Closed Access
Fault Diagnosis of Hydro-Turbine Based on CEEMDAN-MPE Preprocessing Combined with CPO-BILSTM Modelling
Naihua Duan, Yun Zeng, Fang Dao, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1342-1342
Open Access
A three-stage multi-objective heterogeneous integrated model with decomposition-reconstruction mechanism and adaptive segmentation error correction method for ship motion multi-step prediction
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101954-101954
Closed Access | Times Cited: 11
Big multi-step ship motion forecasting using a novel hybrid model based on real-time decomposition, boosting algorithm and error correction framework
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Ocean Engineering (2022) Vol. 256, pp. 111471-111471
Closed Access | Times Cited: 16
An ensemble multi-step forecasting model for ship roll motion under different external conditions: A case study on the South China Sea
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Measurement (2022) Vol. 201, pp. 111679-111679
Closed Access | Times Cited: 15
Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101806-101806
Closed Access | Times Cited: 14
An improved reconstruction method of the reflected dynamic pressure in shock tube system based on inverse sensing model identification
Zhenjian Yao, Yongsheng Li, Bo Shi, et al.
Aerospace Science and Technology (2024) Vol. 145, pp. 108903-108903
Closed Access | Times Cited: 2
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
Multi-step prediction of ship heave motion using transformer-enhanced multi-scale CNN
Wenzhuo Shi, Zimeng Guo, Meng Chen, et al.
Measurement (2024), pp. 115787-115787
Closed Access | Times Cited: 2
Deterministic ship roll forecasting model based on multi-objective data fusion and multi-layer error correction
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109915-109915
Closed Access | Times Cited: 11
An Empirical Mode Decomposition-Based Hybrid Model for Sub-Hourly Load Forecasting
Chuang Yin, Nan Wei, Jinghang Wu, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 307-307
Open Access | Times Cited: 1
An APSO-based TPA-BLSTM model for predicting ship motion in irregular waves using wave-series input
Jiansheng Xue, Zhiliang Gao, Wenhai Yi
Ships and Offshore Structures (2024), pp. 1-12
Closed Access | Times Cited: 1
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