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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:

Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks
Qiang Wu, Hongling Zheng, Xiaozhu Guo, et al.
Renewable Energy (2022) Vol. 199, pp. 977-992
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin, Huan Yee Koh, Qingsong Wen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10466-10485
Open Access | Times Cited: 79
Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
Van Nhanh Nguyen, W. Tarełko, Prabhakar Sharma, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1692-1712
Closed Access | Times Cited: 46
A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information
Mao Yang, Chao Han, Wei Zhang, et al.
Energy (2024) Vol. 294, pp. 130770-130770
Closed Access | Times Cited: 17
Advances in renewable energy for sustainable development
Poul Alberg Østergaard, Neven Duić, Younes Noorollahi, et al.
Renewable Energy (2023) Vol. 219, pp. 119377-119377
Closed Access | Times Cited: 40
A multivariate time series graph neural network for district heat load forecasting
Zhijin Wang, Xiufeng Liu, Yaohui Huang, et al.
Energy (2023) Vol. 278, pp. 127911-127911
Open Access | Times Cited: 38
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Wenjun Jiang, Bo Liu, Yang Liang, et al.
Applied Energy (2023) Vol. 353, pp. 122155-122155
Closed Access | Times Cited: 37
Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Energy (2023) Vol. 278, pp. 127852-127852
Closed Access | Times Cited: 34
Wind Speed Prediction Using Chicken Swarm Optimization with Deep Learning Model
R. Surendran, Youseef Alotaibi, Ahmad F. Subahi
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3371-3386
Open Access | Times Cited: 28
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: 13
A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems
Shuai Wang, Bin Li, Guanzheng Li, et al.
Energy and AI (2024) Vol. 16, pp. 100336-100336
Open Access | Times Cited: 10
A combined interval prediction system based on fuzzy strategy and neural network for wind speed
Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111408-111408
Closed Access | Times Cited: 9
Reliability analysis of wind turbine gearboxes: past, progress and future prospects
Debiao Meng, Peng Nie, Shiyuan Yang, et al.
International Journal of Structural Integrity (2025)
Closed Access | Times Cited: 1
Short-term wind speed forecasting based on a novel KANInformer model and improved dual decomposition
Zhiyuan Leng, Chen Lü, Bin Yi, et al.
Energy (2025), pp. 135551-135551
Closed Access | Times Cited: 1
A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Water (2023) Vol. 15, Iss. 10, pp. 1827-1827
Open Access | Times Cited: 21
Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17
A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 7
Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 6
A wind speed forecasting model using nonlinear auto-regressive model optimized by the hybrid chaos-cloud salp swarm algorithm
Junfeng Dai, Lihui Fu
Energy (2024) Vol. 298, pp. 131332-131332
Closed Access | Times Cited: 6
DeepVELOX: INVELOX Wind Turbine Intelligent Power Forecasting Using Hybrid GWO–GBR Algorithm
Ashkan Safari, Hamed Kheirandish Gharehbagh, Morteza Nazari‐Heris
Energies (2023) Vol. 16, Iss. 19, pp. 6889-6889
Open Access | Times Cited: 15
A novel hybrid deep learning model for multi-step wind speed forecasting considering pairwise dependencies among multiple atmospheric variables
Wenjun Jiang, Pengfei Lin, Yang Liang, et al.
Energy (2023) Vol. 285, pp. 129408-129408
Closed Access | Times Cited: 15
A new hybrid model for multi-step WTI futures price forecasting based on self-attention mechanism and spatial–temporal graph neural network
Geya Zhao, Minggao Xue, Li Cheng
Resources Policy (2023) Vol. 85, pp. 103956-103956
Closed Access | Times Cited: 12
Generalized bivariate mixture model of directional wind speed in mixed wind climates
Xiaowen Ji, Jiren Zou, Zhengbing Cheng, et al.
Alexandria Engineering Journal (2024) Vol. 89, pp. 98-109
Open Access | Times Cited: 4
Wind speed prediction utilizing dynamic spectral regression broad learning system coupled with multimodal information
Ziwen Gu, Yatao Shen, Zijian Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107856-107856
Closed Access | Times Cited: 4
A wind speed forecasting framework for multiple turbines based on adaptive gate mechanism enhanced multi-graph attention networks
Yufeng Wang, Zihan Yang, Jianhua Ma, et al.
Applied Energy (2024) Vol. 372, pp. 123777-123777
Closed Access | Times Cited: 4
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: 4
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