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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 Power Forecasting—A New Hyperparameter Optimisation Algorithm for Deep Learning Models
Shahram Hanifi, Saeid Lotfian, Hossein Zare‐Behtash, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 6919-6919
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Advanced hyperparameter optimization of deep learning models for wind power prediction
Shahram Hanifi, Andrea Cammarono, Hossein Zare‐Behtash
Renewable Energy (2023) Vol. 221, pp. 119700-119700
Open Access | Times Cited: 47
Offshore wind power forecasting based on WPD and optimised deep learning methods
Shahram Hanifi, Hossein Zare‐Behtash, Andrea Cammarano, et al.
Renewable Energy (2023) Vol. 218, pp. 119241-119241
Open Access | Times Cited: 27
A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization
Zhendong Wang, Hui Chen, Shuxin Yang, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1569-e1569
Open Access | Times Cited: 27
Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
Huimin Han, Harold Neira-Molina, Asad Khan, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 6
A comparison of LSTM-based Ensemble models for wind speed prediction in the Atlantic Ocean using optimised parameters
Nadia Cárdenas-Escobar, Germán Santos, Sandra García‐Bustos, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Mohamed Abd Elaziz, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9261-9261
Open Access | Times Cited: 22
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4
Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors
P. Piotrowski, Inajara Rutyna, D. Baczyński, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9657-9657
Open Access | Times Cited: 21
Deep Belief Network with Swarm Spider Optimization Method for Renewable Energy Power Forecasting
Yuan Wei, Huanchang Zhang, Jiahui Dai, et al.
Processes (2023) Vol. 11, Iss. 4, pp. 1001-1001
Open Access | Times Cited: 10
Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications
Grzegorz Dudek, P. Piotrowski, D. Baczyński
Energies (2023) Vol. 16, Iss. 7, pp. 3024-3024
Open Access | Times Cited: 10
Big Data Meets Big Wind: A Scientometric Review of Machine Learning Approaches in Offshore Wind Energy
Prangon Das, Maisha Mashiata, G. Iglesias
Energy and AI (2024) Vol. 18, pp. 100418-100418
Open Access | Times Cited: 3
Intrusion Detection in IoT Systems Using Denoising Autoencoder
Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, et al.
IEEE Access (2024) Vol. 12, pp. 122401-122425
Open Access | Times Cited: 3
One-Day-Ahead Hourly Wind Power Forecasting Using Optimized Ensemble Prediction Methods
Chao‐Ming Huang, Shin‐Ju Chen, Sung‐Pei Yang, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2688-2688
Open Access | Times Cited: 8
A Selective Review on Recent Advancements in Long, Short and Ultra-Short-Term Wind Power Prediction
Manisha Sawant, Rupali Patil, Tanmay Shikhare, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 8107-8107
Open Access | Times Cited: 13
Ultra-short-term PV power prediction using optimal ELM and improved variational mode decomposition
Qiang Wang, Hekai Lin
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 7
State Reliability of Wind Turbines Based on XGBoost–LSTM and Their Application in Northeast China
Liming Gou, Jian Zhang, Wen Lihao, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4099-4099
Open Access | Times Cited: 1
Short-Term Wind Power Prediction Based on Feature-Weighted and Combined Models
Deyang Yin, Lei Zhao, Kai Zhai, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7698-7698
Open Access | Times Cited: 1
Quasi-Newton Optimized Kolmogorov-Arnold Networks for Wind Farm Power Prediction
Auwalu Saleh Mubarak, Zubaida Said Ameen, Sagiru Mati, et al.
Heliyon (2024) Vol. 10, Iss. 23, pp. e40799-e40799
Open Access | Times Cited: 1
Short Term Wind Power Forecasting Using Optimized Deep Learning
Gokul Raj S N, A. K. Silesh, P. Chitra, et al.
(2024)
Closed Access
Accelerating optimal scheduling prediction in power system: A multi-faceted GAN-assisted prediction framework
Ali Peivand, Ehsan Azad‐Farsani, Hamid Reza Abdolmohammadi
Renewable Energy (2024) Vol. 230, pp. 120830-120830
Closed Access
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
Lucas English, Mahdi Abolghasemi
Sustainable Energy Grids and Networks (2024) Vol. 40, pp. 101517-101517
Open Access
Short-term prediction of horizontal winds in the mesosphere and lower thermosphere over coastal Peru using a hybrid model
Christian Mauricio, José Suclupe, Marco Milla, et al.
Frontiers in Astronomy and Space Sciences (2024) Vol. 11
Open Access
Estimation of Maize Water Requirements Based on the Low-Cost Image Acquisition Methods and the Meteorological Parameters
Jiuxiao Zhao, Jianping Tao, Shirui Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2325-2325
Open Access
A modular multi-step forecasting method for offshore wind power clusters
Lei Fang, Bin He, Shengquan Yu
Applied Energy (2024) Vol. 380, pp. 125060-125060
Closed Access
Advancements in predictive maintenance modelling for industrial electrical motors: Integrating machine learning and sensor technologies
Shahram Hanifi, Babakalli Alkali, Gordon B. Lindsay, et al.
Measurement Sensors (2024), pp. 101473-101473
Open Access
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