Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting
Binrong Wu, Lin Wang
Energy (2023) Vol. 288, pp. 129728-129728
Closed Access | Times Cited: 25

Showing 25 citing articles:

Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S
Xiaoying Sun, Haizhong Liu
Energy (2024) Vol. 305, pp. 132228-132228
Closed Access | Times Cited: 17
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: 14
Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables
André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Patrícia Helena dos Santos Martins, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5846-5846
Open Access | Times Cited: 7
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 6
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: 5
A novel spatiotemporal fusion wind speed prediction method under wind farm control center: BiTCN–transformer–cross-attention
Wanyi Yang, Tao Liang, Dabin Mi, et al.
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 1
Closed Access
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
Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers
Binrong Wu, Huanze Zeng, Zhongrui Wang, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111639-111639
Closed Access | Times Cited: 4
A novel data-driven model for explainable hog price forecasting
Binrong Wu, Huanze Zeng, Huanling Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Multi-model integration for dynamic forecasting (MIDF): a framework for wind speed and direction prediction
Molaka Maruthi, Bubryur Kim, Song Sujeen, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Very short-term wind power forecasting considering static data: An improved transformer model
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2024), pp. 133577-133577
Closed Access | Times Cited: 3
Text‐based corn futures price forecasting using improved neural basis expansion network
Lin Wang, Wuyue An, Feng‐Ting Li
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2042-2063
Closed Access | Times Cited: 2
Does New Urbanization Support the Rural Inclusive Green Development under Domestic Circulation in China?
Yuelei Hua, Jize Zhang, Xuhui Ding, et al.
Sustainability (2024) Vol. 16, Iss. 7, pp. 2950-2950
Open Access | Times Cited: 2
Using Temporal Fusion Transformer Predictions to Maximise Use of Renewable Energy Sources
Jakob Jenko, João Pita Costa
(2024), pp. 1-10
Closed Access | Times Cited: 2
Interpretable wind power forecasting combing seasonal-trend representations learning with temporal fusion transformers architecture
Zhewen Niu, Xiaoqing Han, Dongxia Zhang, et al.
Energy (2024) Vol. 306, pp. 132482-132482
Closed Access | Times Cited: 2
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, et al.
Energy (2024), pp. 133918-133918
Closed Access | Times Cited: 2
A Novel Hybrid Ensemble Wind Speed Forecasting Model Employing Wavelet Transform and Deep Learning
Vishnu Namboodiri, Rahul Goyal
Computers & Electrical Engineering (2024) Vol. 121, pp. 109820-109820
Closed Access | Times Cited: 2
CEEMD-based Multivariate Financial Time Series Forecasting using a Temporal Fusion Transformer
Raymond H. Ho, Kevin Hung
(2024), pp. 209-215
Closed Access | Times Cited: 1
A spatial transfer-based hybrid model for wind speed forecasting
Xin Chen, Xiaoling Ye, Jian Shi, et al.
Energy (2024), pp. 133920-133920
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
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
Improving Hate Speech Classification Through Ensemble Learning and Explainable AI Techniques
Priya Garg, Meenakshi Sharma, Parteek Kumar
Arabian Journal for Science and Engineering (2024)
Closed Access
A state-of-the-art analysis on decomposition method for short-term wind speed forecasting using LSTM and a novel hybrid deep learning model
Yang Liang, Dongqin Zhang, Jize Zhang, et al.
Energy (2024) Vol. 313, pp. 133826-133826
Closed Access
Aeroelastic force prediction via temporal fusion transformers
Miguel Cid Montoya, Akhil Mishra, Sumit Verma, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Closed Access
Explainable Soybean Futures Price Forecasting Based on Multi‐Source Feature Fusion
Binrong Wu, Sihao Yu, Sheng‐Xiang Lv
Journal of Forecasting (2024)
Closed Access
Page 1

Scroll to top