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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 combined model for short-term wind power forecasting based on the analysis of numerical weather prediction data
Boyu He, Lin Ye, Ming Pei, et al.
Energy Reports (2021) Vol. 8, pp. 929-939
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
Shaolong Sun, Zongjuan Du, Kun Jin, et al.
Applied Energy (2023) Vol. 350, pp. 121749-121749
Closed Access | Times Cited: 33
A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models
Ashok Bhansali, Namala Narasimhulu, Rocío Pérez de Prado, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6236-6236
Open Access | Times Cited: 31
Short-term wind power prediction method based on deep clustering-improved Temporal Convolutional Network
Yiwei Sheng, Han Wang, Jie Yan, et al.
Energy Reports (2023) Vol. 9, pp. 2118-2129
Open Access | Times Cited: 28
A CNN encoder decoder LSTM model for sustainable wind power predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Sustainable Computing Informatics and Systems (2023) Vol. 38, pp. 100869-100869
Closed Access | Times Cited: 27
Short-Term Wind Power Prediction by an Extreme Learning Machine Based on an Improved Hunter–Prey Optimization Algorithm
Xiangyue Wang, Li Ji, Lei Shao, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 991-991
Open Access | Times Cited: 22
A novel temporal–spatial graph neural network for wind power forecasting considering blockage effects
Hong Qiu, Kaikai Shi, Renfang Wang, et al.
Renewable Energy (2024) Vol. 227, pp. 120499-120499
Closed Access | Times Cited: 11
A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 9
A novel BiGRU multi-step wind power forecasting approach based on multi-label integration random forest feature selection and neural network clustering
Zheyong Jiang, Qingmei Tan, Nan Li, et al.
Energy Conversion and Management (2024) Vol. 319, pp. 118904-118904
Closed Access | Times Cited: 5
Enhanced smart weather prediction through advanced atmospheric analysis and forecasting techniques using binarized spiking neural networks
M. Amanullah, K Ananthajothi, D. Divya
Knowledge and Information Systems (2025)
Closed Access
Enhancing Grid Integration of Renewable Energy Sources for Micro grid Stability using Forecasting and Optimal Dispatch Strategies
S. Senthil Kumar, C. Srinivasan, S. Balavignesh
Energy (2025), pp. 135572-135572
Closed Access
Short-term offshore wind power multi-location multi-modal multi-step prediction model based on Informer(M3STIN)
Zhongrui Wang, Chunbo Wang, Liang Chen, et al.
Energy (2025), pp. 135616-135616
Closed Access
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 25
Deterministic and Probabilistic Wind Power Forecasts by Considering Various Atmospheric Models and Feature Engineering Approaches
Yuan‐Kang Wu, Cheng‐Liang Huang, Sheng-Hong Wu, et al.
IEEE Transactions on Industry Applications (2022) Vol. 59, Iss. 1, pp. 192-206
Closed Access | Times Cited: 24
Exploring Wind Speed for Energy Considerations in Eastern Jerusalem-Palestine Using Machine-Learning Algorithms
Saeed Salah, Husain Alsamamra, Jawad H. Shoqeir
Energies (2022) Vol. 15, Iss. 7, pp. 2602-2602
Open Access | Times Cited: 22
Adaptive short-term wind power forecasting with concept drifts
Yanting Li, Zhenyu Wu, Yan Su
Renewable Energy (2023) Vol. 217, pp. 119146-119146
Closed Access | Times Cited: 12
Short-term wind speed forecasting based on two-stage preprocessing method, sparrow search algorithm and long short-term memory neural network
Xue-Yi Ai, Shijia Li, Haoxuan Xu
Energy Reports (2022) Vol. 8, pp. 14997-15010
Open Access | Times Cited: 21
Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance
Montserrat Sacie, Matilde Santos, R. López, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 7, pp. 938-938
Open Access | Times Cited: 19
Ultra-Short-Term Wind Power Prediction Based on LSTM with Loss Shrinkage Adam
Jingtao Huang, Gang Niu, Haiping Guan, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3789-3789
Open Access | Times Cited: 11
Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer
Xinxin Wang, Shen Xiaopan, AI Xue-yi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0289161-e0289161
Open Access | Times Cited: 11
A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm
Chao Wang, Lin Hon, Ming Yang, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115442-115442
Closed Access | Times Cited: 3
A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1149-1198
Closed Access | Times Cited: 8
Prediction of the water level at the Kien Giang River based on regression techniques
Ta Quang Chieu, Nguyễn Thị Phương Thảo, Dao Thi Hue, et al.
River (2024) Vol. 3, Iss. 1, pp. 59-68
Open Access | Times Cited: 2
Computation of prediction intervals of wind energy based on the EWMA and BOA techniques
Shadi Nouhitehrani, Eduardo Caro, Jesús Juan
Sustainable Energy Technologies and Assessments (2024) Vol. 66, pp. 103806-103806
Closed Access | Times Cited: 2
Short-term traffic flow prediction via weight optimization of composite models
Xinyi He, Yao Hu, Wangyong Chen, et al.
Transportation Letters (2024), pp. 1-11
Closed Access | Times Cited: 2
A collection and categorization of open‐source wind and wind power datasets
Nina Effenberger, Nicole Ludwig
Wind Energy (2022) Vol. 25, Iss. 10, pp. 1659-1683
Open Access | Times Cited: 12
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