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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 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: 58

Showing 1-25 of 58 citing articles:

Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting
Yiming Zhang, Hao Wang
Energy (2023) Vol. 278, pp. 127865-127865
Closed Access | Times Cited: 74
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: 47
A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 28
Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model
Mawloud Guermoui, Toufik Arrif, Abdelfetah Belaid, et al.
Energy Conversion and Management (2024) Vol. 304, pp. 118189-118189
Closed Access | Times Cited: 19
A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting
Uğur Yüzgeç, Emrah Dokur, MEHMET EMİN BALCI
Energy (2024) Vol. 300, pp. 131546-131546
Closed Access | Times Cited: 17
Runoff prediction using a multi-scale two-phase processing hybrid model
Xuehua Zhao, Huifang Wang, Qiucen Guo, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Review of Key Technologies for Offshore Floating Wind Power Generation
Bowen Zhou, Zhibo Zhang, Guangdi Li, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 710-710
Open Access | Times Cited: 37
An online-learning-enabled self-attention-based model for ultra-short-term wind power forecasting
Xiaoran Dai, Shuai Liu, Wenshan Hu
Energy (2023) Vol. 272, pp. 127173-127173
Closed Access | Times Cited: 37
Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting
Hüseyin Parmaksız, Uğur Yüzgeç, Emrah Dokur, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110472-110472
Open Access | Times Cited: 28
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: 11
A hybrid wind speed prediction model using improved CEEMDAN and Autoformer model with auto-correlation mechanism
Bala Saibabu Bommidi, Kiran Teeparthi
Sustainable Energy Technologies and Assessments (2024) Vol. 64, pp. 103687-103687
Closed Access | Times Cited: 10
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: 17
Comparison of the performance of different wind speed distribution models applied to onshore and offshore wind speed data in the Northeast Brazil
Davi Ribeiro Lins, Kevin Santos Guedes, Anselmo Ramalho Pitombeira Neto, et al.
Energy (2023) Vol. 278, pp. 127787-127787
Closed Access | Times Cited: 17
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Sibo Yang, Wendong Yang, Xiaodi Wang, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117590-117590
Closed Access | Times Cited: 17
The impact of offshore wind energy on Northern European wholesale electricity prices
Emil Hosius, Johann V. Seebaß, Benjamin Wacker, et al.
Applied Energy (2023) Vol. 341, pp. 120910-120910
Open Access | Times Cited: 15
WindForecastX: a dynamic approach for accurate long-term wind speed prediction in wind energy applications
Sasi Rekha Sankar, P. Madhavan
Ocean Dynamics (2025) Vol. 75, Iss. 1
Closed Access
Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network
Muyuan Du, Zhimeng Zhang, Chunning Ji
Energies (2025) Vol. 18, Iss. 3, pp. 542-542
Open Access
Swarm intelligence-based Multi-Layer Kernel Meta Extreme Learning Machine for tidal current to power prediction
Emrah Dokur, Nuh Erdoğan, Uğur Yüzgeç
Renewable Energy (2025), pp. 122516-122516
Open Access
Short-term offshore wind speed forecasting approach based on multi-stage decomposition and deep residual network with self-attention
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110313-110313
Closed Access
EV Fleet Charging Load Forecasting Based on Multiple Decomposition With CEEMDAN and Swarm Decomposition
Emrah Dokur, Nuh Erdoğan, Sadik Kucuksari
IEEE Access (2022) Vol. 10, pp. 62330-62340
Open Access | Times Cited: 23
Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy
SungKu Heo, Jaerak Ko, SangYoun Kim, et al.
Journal of Cleaner Production (2022) Vol. 379, pp. 134793-134793
Closed Access | Times Cited: 22
Adaptive Swarm Decomposition Algorithm for Compound Fault Diagnosis of Rolling Bearings
Chaoang Xiao, Jianbo Yu
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 13
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: 12
A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting
Sheng-Xiang Lv, Lin Wang, Sirui Wang
Energies (2023) Vol. 16, Iss. 4, pp. 1841-1841
Open Access | Times Cited: 11
Decomposition and Harris hawks optimized multivariate wind speed forecasting utilizing sequence2sequence-based spatiotemporal attention
Hassan Bashir, Muhammad Sibtain, Özge Hanay, et al.
Energy (2023) Vol. 278, pp. 127933-127933
Closed Access | Times Cited: 10
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