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:

Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM
Zheng Li, Ruosi Xu, Xiaorui Luo, et al.
Energy Reports (2023) Vol. 9, pp. 6449-6460
Open Access | Times Cited: 22

Showing 22 citing articles:

Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Qingyang Li, Guosong Wang, Xinrong Wu, et al.
Energy (2024) Vol. 299, pp. 131448-131448
Closed Access | Times Cited: 16
Short-Term Power Forecasting of Wind Farm Cluster Based on Global Information Adaptive Perceptual Graph Convolution Network
Mao Yang, Chaoyi Ju, Y. Huang, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 2063-2076
Closed Access | Times Cited: 9
Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach
Wenhan An, Bo Gao, Jianhua Liu, et al.
Case Studies in Thermal Engineering (2024) Vol. 59, pp. 104516-104516
Open Access | Times Cited: 9
A parallel differential learning ensemble framework based on enhanced feature extraction and anti-information leakage mechanism for ultra-short-term wind speed forecast
Jujie Wang, Yafen Liu, Yaning Li
Applied Energy (2024) Vol. 361, pp. 122909-122909
Closed Access | Times Cited: 6
The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms
Xiaoyi Zhu
Egyptian Informatics Journal (2025) Vol. 29, pp. 100610-100610
Closed Access
Diagnosis of Wind Turbine Yaw System Based on Self-Attention–Long Short-Term Memory (LSTM)
Cheng Song, Niaona Zhang, JH Shao, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 617-617
Open Access
A comprehensive wind power prediction system based on correct multiscale clustering ensemble, similarity matching, and improved whale optimization algorithm–A case study in China
Chunsheng Yu
Renewable Energy (2025), pp. 122529-122529
Closed Access
Integrating D–S evidence theory and multiple deep learning frameworks for time series prediction of air quality
Siling Feng, Le Tang, Mengxing Huang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Robust deep learning model with attention framework for spatiotemporal forecasting of solar and wind energy production
Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al‐Abri, et al.
Energy Conversion and Management X (2025), pp. 100919-100919
Open Access
Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model
Na Fang, Zhengguang Liu, Shengli Fan
Energies (2025) Vol. 18, Iss. 6, pp. 1465-1465
Open Access
A Novel Hybrid Method for Multi-Step Short-Term 70 m Wind Speed Prediction Based on Modal Reconstruction and STL-VMD-BiLSTM
Xuanfang Da, Dong Ye, Yanbo Shen, et al.
Atmosphere (2024) Vol. 15, Iss. 8, pp. 1014-1014
Open Access | Times Cited: 2
Evaluation of Bolt Corrosion Degree Based on Non-Destructive Testing and Neural Network
Guang Han, Shuangcheng Lv, Zhigang Tao, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5069-5069
Open Access | Times Cited: 1
Ultra-short-term wind power forecasting based on a dual-channel deep learning model with improved coot optimization algorithm
Xingyue He, Bitao He, Tao Qin, et al.
Energy (2024) Vol. 305, pp. 132320-132320
Closed Access | Times Cited: 1
Short-Term Offshore Wind Power Prediction based on VMD-SE-BP Neural Network Model
Hui Qin, Lijuan Huang, Kui Li, et al.
(2024), pp. 1476-1481
Closed Access | Times Cited: 1
Enhancing solar irradiance forecasting for hydrogen production: The MEMD-ALO-BiLSTM hybrid machine learning model
Chaoyang Zhu, Mengxia Wang, Mengxing Guo, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109747-109747
Closed Access | Times Cited: 1
Research on high precision online prediction of motion responses of a floating platform based on multi-mode fusion
Jianwei Wang, Xiaofan Jin, Ze He, et al.
Applied Ocean Research (2024) Vol. 151, pp. 104150-104150
Closed Access
Future directions of computer vision and AI for renewable energy: trends and challenges in renewable energy research and applications
Humaira Hamid, Sandeep Samantaray
Elsevier eBooks (2024), pp. 335-361
Closed Access
Prediction of SO2 concentration in WFGD system based on GWO optimized CNN‐BiLSTM‐attention
Minan Tang, Zhongcheng Bai, Jiandong Qiu, et al.
The Canadian Journal of Chemical Engineering (2024)
Open Access
A Machine Learning Approach on Outlier Removal for Decision Tree Regression Method
Agus Sihabuddin, Nur Rokhman, Erwin Eko Wahyudi
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 4, pp. 1397-1403
Open Access
A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks
E. P. Vishnutheerth, Vivek Vijay, Rahul Satheesh, et al.
IEEE Access (2024) Vol. 12, pp. 124790-124800
Open Access
An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
Yingying He, Likai Zhang, Tengda Guan, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4615-4615
Open Access
A Comprehensive Wind Power Prediction System Based on Correct Multiscale Clustering Ensemble, Similarity Matching, and Improved Whale Optimization Algorithm--A Case Study in China
Chunsheng Yu
(2023)
Closed Access
Forecdiction of Short-term Wind Power in Ice Season Based on Wind Turbine Operating State and Deep Learning
Hanlin Xia, Qin Hu, Yuming Liu, et al.
2021 IEEE Sustainable Power and Energy Conference (iSPEC) (2023), pp. 1-5
Closed Access
Page 1

Scroll to top