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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:

Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Energy (2022) Vol. 252, pp. 123990-123990
Closed Access | Times Cited: 149

Showing 1-25 of 149 citing articles:

New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
Erlong Zhao, Shaolong Sun, Shouyang Wang
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 84-95
Open Access | Times Cited: 119
Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, et al.
Applied Energy (2022) Vol. 333, pp. 120565-120565
Open Access | Times Cited: 84
A transformer-based deep neural network with wavelet transform for forecasting wind speed and wind energy
Erick Giovani Sperandio Nascimento, T. A. C. Melo, Davidson Martins Moreira
Energy (2023) Vol. 278, pp. 127678-127678
Open Access | Times Cited: 83
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 81
A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm
Yanhui Li, Kaixuan Sun, Qi Yao, et al.
Energy (2023) Vol. 286, pp. 129604-129604
Closed Access | Times Cited: 68
Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT)
Amril Nazir, Abdul Khalique Shaikh, Abdul Salam Shah, et al.
Results in Engineering (2023) Vol. 17, pp. 100888-100888
Open Access | Times Cited: 52
Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems
Hao Yan, Wendong Yang, Kedong Yin
Expert Systems with Applications (2023) Vol. 219, pp. 119636-119636
Closed Access | Times Cited: 43
An innovative interpretable combined learning model for wind speed forecasting
Pei Du, Dongchuan Yang, Yanzhao Li, et al.
Applied Energy (2024) Vol. 358, pp. 122553-122553
Closed Access | Times Cited: 19
Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Luiza Scapinello Aquino da Silva, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 157, pp. 109876-109876
Open Access | Times Cited: 18
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 17
Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting
Miguel López Santos, Xela García‐Santiago, Fernando Echevarría Camarero, et al.
Energies (2022) Vol. 15, Iss. 14, pp. 5232-5232
Open Access | Times Cited: 57
A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107340-107340
Closed Access | Times Cited: 35
Explainable prediction of loan default based on machine learning models
Xu Zhu, Qingyong Chu, Xinchang Song, et al.
Data Science and Management (2023) Vol. 6, Iss. 3, pp. 123-133
Open Access | Times Cited: 29
Deep learning and transfer learning techniques applied to short-term load forecasting of data-poor buildings in local energy communities
Miguel López Santos, Saúl Díaz García, Xela García‐Santiago, et al.
Energy and Buildings (2023) Vol. 292, pp. 113164-113164
Closed Access | Times Cited: 28
A novel wind power prediction model improved with feature enhancement and autoregressive error compensation
Jianing Wang, Hongqiu Zhu, Fei Cheng, et al.
Journal of Cleaner Production (2023) Vol. 420, pp. 138386-138386
Closed Access | Times Cited: 27
Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
Lu Peng, Sheng‐Xiang Lv, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2064-2087
Closed Access | Times Cited: 12
Fast prediction of spatial temperature distributions in urban areas with WRF and temporal fusion transformers
Hao-Cheng Zhu, Chen Ren, Junqi Wang, et al.
Sustainable Cities and Society (2024) Vol. 103, pp. 105249-105249
Closed Access | Times Cited: 11
Enhancing tourism demand forecasting with a transformer-based framework
Xin Li, Yechi Xu, Rob Law, et al.
Annals of Tourism Research (2024) Vol. 107, pp. 103791-103791
Open Access | Times Cited: 11
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Information Sciences (2024) Vol. 661, pp. 120150-120150
Closed Access | Times Cited: 10
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator
Chu Zhang, Xiujie Qiao, Zhao Zhang, et al.
Energy (2024) Vol. 295, pp. 131058-131058
Closed Access | Times Cited: 8
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
Machine learning for quantile regression of biogas production rates in anaerobic digesters
Johannes Sappl, Matthias Harders, Wolfgang Rauch
The Science of The Total Environment (2023) Vol. 872, pp. 161923-161923
Open Access | Times Cited: 22
A hybrid methodology using VMD and disentangled features for wind speed forecasting
Srihari Parri, Kiran Teeparthi, Vishalteja Kosana
Energy (2023) Vol. 288, pp. 129824-129824
Closed Access | Times Cited: 21
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: 20
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