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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:

Mixformer: Mixture transformer with hierarchical context for spatio-temporal wind speed forecasting
Tangjie Wu, Qiang Ling
Energy Conversion and Management (2023) Vol. 299, pp. 117896-117896
Closed Access | Times Cited: 18

Showing 18 citing articles:

High–low frequency dynamic interactive fusion network for multivariate time series forecasting
Chengci Wang, Zhuolin Li, Jie Yu, et al.
Knowledge-Based Systems (2025) Vol. 310, pp. 112951-112951
Closed Access | Times Cited: 1
Short-term PV-Wind forecasting of large-scale regional site clusters based on FCM clustering and hybrid Inception-ResNet embedded with Informer
Daogang Peng, Yu Liu, Danhao Wang, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 118992-118992
Closed Access | Times Cited: 7
BERT4ST:: Fine-tuning pre-trained large language model for wind power forecasting
Zefeng Lai, Tangjie Wu, Xihong Fei, et al.
Energy Conversion and Management (2024) Vol. 307, pp. 118331-118331
Closed Access | Times Cited: 6
InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation
Mingwei Zhong, J.M. Fan, Jianqiang Luo, et al.
Applied Energy (2024) Vol. 371, pp. 123745-123745
Closed Access | Times Cited: 5
STELLM: Spatio-temporal enhanced pre-trained large language model for wind speed forecasting
Tangjie Wu, Qiang Ling
Applied Energy (2024) Vol. 375, pp. 124034-124034
Closed Access | Times Cited: 5
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
A location-centric transformer framework for multi-location short-term wind speed forecasting
Luyang Zhao, Changliang Liu, Chaojie Yang, et al.
Energy Conversion and Management (2025) Vol. 328, pp. 119627-119627
Closed Access
BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting
Linfei Yin, Yujie Sun
Energy Conversion and Management (2024) Vol. 321, pp. 119094-119094
Closed Access | Times Cited: 3
Proactive failure warning for wind power forecast models based on volatility indicators analysis
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 305, pp. 132310-132310
Closed Access | Times Cited: 2
A novel offshore wind power prediction model based on TCN-DANet-sparse transformer and considering spatio-temporal coupling in multiple wind farms
Juntao Chen, Xueying Fu, Lingli Zhang, et al.
Energy (2024) Vol. 308, pp. 132899-132899
Closed Access | Times Cited: 2
Long-term wind power forecasting with series decomposition and spatio-temporal graph neural network
Yujie Yang, Libin Chen, Wenbin Zheng, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 15, pp. 3470-3484
Closed Access | Times Cited: 1
Developing an interpretable wind power forecasting system using a transformer network and transfer learning
Chaonan Tian, Tong Niu, Tao Li
Energy Conversion and Management (2024) Vol. 323, pp. 119155-119155
Closed Access | Times Cited: 1
Using stacking ensemble learning to predict multi-step wind speed based on wavelet transformation, two-steps feature selection method, and neural networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
Measurement (2024) Vol. 244, pp. 116500-116500
Closed Access | Times Cited: 1
Local-global feature-based spatio-temporal wind speed forecasting with a sparse and dynamic graph
Yun Wang, Mengmeng Song, Dazhi Yang
Energy (2023) Vol. 289, pp. 130078-130078
Closed Access | Times Cited: 2
Using Stacking Ensemble Learning to Predict Multi-Step Wind Speed Based on Wavelet Transformation, a Two-Steps Feature Selection Method, and Neural Networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
(2024)
Closed Access
Extrapolation of Periodic Signal with Poisson Noise Using Neural Networks
M. Melicherčík, A. Dobrotka
Lecture notes in networks and systems (2024), pp. 1-14
Closed Access
Multi-step ahead wind speed forecasting approach coupling PSR, NNCT-based multi-model fusion and a new optimization algorithm
Zhihao Shang, Yanhua Chen, Quan Wen, et al.
Renewable Energy (2024), pp. 121992-121992
Closed Access
STGPT2UGAN: Spatio-Temporal GPT-2 United Generative Adversarial Network for Wind Speed Prediction in Turbine Network
Qiangsheng Dai, Yingchi Mao, Jiansong Tang, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11217-11217
Open Access
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