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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:

Offshore wind speed forecasting at different heights by using ensemble empirical mode decomposition and deep learning models
Bharat Kumar Saxena, Sanjeev Mishra, K. V. Rao
Applied Ocean Research (2021) Vol. 117, pp. 102937-102937
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 99
Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction
Chu Zhang, Chunlei Ji, Lei Hua, et al.
Renewable Energy (2022) Vol. 197, pp. 668-682
Closed Access | Times Cited: 70
A spatio-temporal forecasting model using optimally weighted graph convolutional network and gated recurrent unit for wind speed of different sites distributed in an offshore wind farm
Xuefang Xu, Shiting Hu, Huaishuang Shao, et al.
Energy (2023) Vol. 284, pp. 128565-128565
Closed Access | Times Cited: 49
Offshore wind speed short-term forecasting based on a hybrid method: Swarm decomposition and meta-extreme learning machine
Emrah Dokur, Nuh Erdoğan, Mahdi Ebrahimi Salari, et al.
Energy (2022) Vol. 248, pp. 123595-123595
Open Access | Times Cited: 59
Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
Offshore wind speed assessment with statistical and attention-based neural network methods based on STL decomposition
Li Xu, Yanxia Ou, Jingjing Cai, et al.
Renewable Energy (2023) Vol. 216, pp. 119097-119097
Closed Access | Times Cited: 31
A review of machine learning and deep learning applications in wave energy forecasting and WEC optimization
Alireza Shadmani, Mohammad Reza Nikoo, Amir H. Gandomi, et al.
Energy Strategy Reviews (2023) Vol. 49, pp. 101180-101180
Open Access | Times Cited: 25
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: 23
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts
Mie Wang, Feixiang Ying, Qianru Nan
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108435-108435
Closed Access | Times Cited: 12
A multi-step probability density prediction model based on gaussian approximation of quantiles for offshore wind power
Wanying Zhang, Yaoyao He, Shanlin Yang
Renewable Energy (2022) Vol. 202, pp. 992-1011
Closed Access | Times Cited: 29
Landslide displacement prediction based on the ICEEMDAN, ApEn and the CNN-LSTM models
Limin Li, C. Wang, Zong-zhou Wen, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 5, pp. 1220-1231
Closed Access | Times Cited: 21
A review of artificial intelligence in marine science
Tao Song, Cong Pang, Boyang Hou, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 19
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 18
Real-time prediction of mooring tension for semi-submersible platforms
Lihao Yuan, Yang Chen, Zhi Li
Applied Ocean Research (2024) Vol. 146, pp. 103967-103967
Closed Access | Times Cited: 7
A cooperative ensemble method for multistep wind speed probabilistic forecasting
Yaoyao He, Yun Wang, Shuo Wang, et al.
Chaos Solitons & Fractals (2022) Vol. 162, pp. 112416-112416
Closed Access | Times Cited: 24
Short-term wind speed prediction based on feature extraction with Multi-task Lasso and Multilayer Perceptron
Hui Wang, Jilong Wang
Energy Reports (2022) Vol. 8, pp. 191-199
Open Access | Times Cited: 23
Wind speed forecasting using deep learning and preprocessing techniques
E. EL-DEEN Ammar, George Xydis
International Journal of Green Energy (2023) Vol. 21, Iss. 5, pp. 988-1016
Closed Access | Times Cited: 13
Multimodal learning–based reconstruction of high-resolution spatial wind speed fields
Matteo Zambra, Nicolas Farrugia, Dorian Cazau, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Medium-term offshore wind speed multi-step forecasting based on VMD and GRU-MATNet model
Shibao Li, Liang Guo, Jun Zhu, et al.
Ocean Engineering (2025) Vol. 325, pp. 120737-120737
Closed Access
Rüzgâr Enerji Santral Üretim Tahmininde Kullanılan Meteorolojik Veriler için En Uygun İçsel Mod Fonksiyonunun Belirlenmesi: İzmir Örneği
İsrafil KARADÖL
Journal of Polytechnic (2025), pp. 1-1
Open Access
Implementation of hybrid wind speed prediction model based on different data mining and signal processing approaches
Okan Mert Katipoğlu
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 23, pp. 64589-64605
Closed Access | Times Cited: 9
A Novel Hybrid Ensemble Wind Speed Forecasting Model Employing Wavelet Transform and Deep Learning
Vishnu Namboodiri, Rahul Goyal
Computers & Electrical Engineering (2024) Vol. 121, pp. 109820-109820
Closed Access | Times Cited: 3
Offshore wind power prediction based on two-stage hybrid modeling**
Jiajia Liang, Xiaoxia He, Haoyi Xiao, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101468-101468
Open Access | Times Cited: 2
Short Term Wind Speed Prediction Based on VMD and DBN Combined Model Optimized by Improved Sparrow Intelligent Algorithm
Lijuan Zhu, Wei Hu
IEEE Access (2022) Vol. 10, pp. 92259-92272
Open Access | Times Cited: 10
A novel stock indices hybrid forecasting system based on features extraction and multi-objective optimizer
Xuerui Wang, Xiangyu Li, Shaoting Li
Applied Intelligence (2022) Vol. 52, Iss. 10, pp. 11784-11807
Closed Access | Times Cited: 9
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