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:

Nine novel ensemble models for solar radiation forecasting in Indian cities based on VMD and DWT integration with the machine and deep learning algorithms
Mahima Sivakumar, Jeba Priya S, S. Thomas George, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108691-108691
Closed Access | Times Cited: 21

Showing 21 citing articles:

Enhancing solar irradiance prediction for sustainable energy solutions employing a hybrid machine learning model; improving hydrogen production through Photoelectrochemical device
Yandi Zhang
Applied Energy (2025) Vol. 382, pp. 125280-125280
Closed Access | Times Cited: 1
Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization algorithm
Yuhan Wang, Chu Zhang, Yongyan Fu, et al.
Energy (2023) Vol. 280, pp. 128171-128171
Closed Access | Times Cited: 20
Shipping market time series forecasting via an Ensemble Deep Dual-Projection Echo State Network
Xuefei Song, Zhong Shuo Chen
Computers & Electrical Engineering (2024) Vol. 117, pp. 109218-109218
Closed Access | Times Cited: 6
Long-term solar radiation forecasting in India using EMD, EEMD, and advanced machine learning algorithms
T. Rajasundrapandiyanleebanon, N. S. Sakthivel Murugan, K. Kumaresan, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Open Access
Solar Irradiance Forecasting using Hybrid Long-Short-Term-Memory based Recurrent Ensemble Deep Random Vector Functional Link Network
Smruti Rekha Pattnaik, Ranjeeta Bisoi, P.K. Dash
Computers & Electrical Engineering (2025) Vol. 123, pp. 110174-110174
Closed Access
Dynamic stacking ensemble hybrid model for enhanced short-term photovoltaic power forecasting with self-organizing maps and advanced deep learning
Chengyi Cai, Hui Liu, Zhu Duan
Energy Reports (2025) Vol. 13, pp. 4280-4298
Closed Access
Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm
Mohammed Abdallah, Babak Mohammadi, Hamid Nasiri, et al.
Energy Reports (2023) Vol. 10, pp. 4198-4217
Open Access | Times Cited: 12
A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine Integrated with Variational Mode Decomposition Technique
Meysam Alizamir, Kaywan Othman Ahmed, Jalal Shiri, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11275-11275
Open Access | Times Cited: 11
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion
Jiangxun Liu, Zhu Duan, Hui Liu
Neural Networks (2024) Vol. 178, pp. 106400-106400
Closed Access | Times Cited: 4
Short-term multi-step forecasting of rooftop solar power generation using a combined data decomposition and deep learning model of EEMD-GRU
Nam Nguyen Vu Nhat, Duc Nguyen Huu, Thi Hoai Thu Nguyen
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Combining Seasonal and Trend Decomposition Using LOESS With a Gated Recurrent Unit for Climate Time Series Forecasting
Xiao Liu, Qianqian Zhang
IEEE Access (2024) Vol. 12, pp. 85275-85290
Open Access | Times Cited: 2
Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation
Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, et al.
Alexandria Engineering Journal (2024) Vol. 105, pp. 613-625
Open Access | Times Cited: 2
Deep learning approach for one-hour ahead forecasting of solar radiation in different climate regions
Alper Yıldırım, Mehmet Bilgili, Osman Kara
International Journal of Green Energy (2024) Vol. 21, Iss. 13, pp. 2984-3000
Closed Access | Times Cited: 1
Evaluating the EEMD-LSTM model for short-term forecasting of industrial power load: A case study in Vietnam
Nam Nguyen Vuu Nhat, Duc Nguyen Huu, Thi Hoai Thu Nguyen
International Journal of Renewable Energy Development (2023) Vol. 12, Iss. 5, pp. 881-890
Open Access | Times Cited: 4
Degradation Indicator Construction Using Dual-Class Component Feature Fusion Recalibration for Bearing Performance Evaluation
Yuanyuan Zhou, Hang Wang, Yongbin Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24849-24861
Closed Access | Times Cited: 4
Research on solar photovoltaic panel power generation prediction and comparative analysis based on multiple machine learning algorithms
Qi Yu, Yafei Liu, Xingyu Zheng
(2024), pp. 83-86
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
Short‐term energy forecasting using deep neural networks: Prospects and challenges
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access | Times Cited: 1
Effective Planning of Renewable Energy System
Ansar Shaik Satuluru, Shakila Baskaran, Prakash Marimuthu
Advances in environmental engineering and green technologies book series (2024), pp. 163-197
Closed Access
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing
R.C.H. Cheng, Ruobin Gao, Minghui Hu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1, pp. 1-8
Closed Access
A new two-stage wire rope leakage signal noise reduction method
Chong Chen, Changwei Zhao, Zhiyong Zhang
Computers & Electrical Engineering (2024) Vol. 122, pp. 109942-109942
Closed Access
Comparative Analysis of Machine Learning and Deep Learning Strategies for Solar Irradiation Forecasting
Noureddine Ghoggali, Fouzi Douak, Mohamed Bensaadallah, et al.
(2023), pp. 1-6
Closed Access
Page 1

Scroll to top