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:

Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2022) Vol. 316, pp. 119063-119063
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting
Jingxuan Liu, Haixiang Zang, Lilin Cheng, et al.
Applied Energy (2023) Vol. 342, pp. 121160-121160
Closed Access | Times Cited: 61
Assessment of solar radiation resource and photovoltaic power potential across China based on optimized interpretable machine learning model and GIS-based approaches
Zhe Song, Sunliang Cao, Hongxing Yang
Applied Energy (2023) Vol. 339, pp. 121005-121005
Closed Access | Times Cited: 50
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 44
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Sujan Ghimire, Thong Nguyen‐Huy, Mohanad S. AL‐Musaylh, et al.
Energy (2023) Vol. 275, pp. 127430-127430
Open Access | Times Cited: 42
Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan
Yuan Gao, Zehuan Hu, Shanrui Shi, et al.
Applied Energy (2024) Vol. 359, pp. 122685-122685
Closed Access | Times Cited: 21
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107918-107918
Closed Access | Times Cited: 15
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Measurement (2022) Vol. 202, pp. 111759-111759
Open Access | Times Cited: 63
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction
Sujan Ghimire, Thong Nguyen‐Huy, Ramendra Prasad, et al.
Cognitive Computation (2022) Vol. 15, Iss. 2, pp. 645-671
Closed Access | Times Cited: 46
A Novel Machine Learning Approach for Solar Radiation Estimation
Hasna Hissou, Said Benkirane, Azidine Guezzaz, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10609-10609
Open Access | Times Cited: 36
Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2023) Vol. 353, pp. 122059-122059
Open Access | Times Cited: 25
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 359, pp. 122624-122624
Open Access | Times Cited: 13
Electricity demand error corrections with attention bi-directional neural networks
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy (2024) Vol. 291, pp. 129938-129938
Closed Access | Times Cited: 11
Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network
Fariba Fard, Fereshteh Sadeghi Naieni Fard
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 367-367
Open Access | Times Cited: 9
Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy Conversion and Management (2023) Vol. 297, pp. 117707-117707
Open Access | Times Cited: 18
Spatio-temporal interpretable neural network for solar irradiation prediction using transformer
Yuan Gao, Shohei Miyata, Yuki Matsunami, et al.
Energy and Buildings (2023) Vol. 297, pp. 113461-113461
Closed Access | Times Cited: 16
Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables
Sujan Ghimire, Thong Nguyen‐Huy, Mohanad S. AL‐Musaylh, et al.
Energy and AI (2023) Vol. 14, pp. 100302-100302
Open Access | Times Cited: 16
An Intelligent Selection Method of Main Controlling Factors for Tight Gas Reservoirs Productivity Based on Improved Harris Hawk Algorithm
Xiangyu Fan, Jia Xu, Chunlan Zhao, et al.
Energy & Fuels (2025)
Closed Access
Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source
Hamid Gholami, Aliakbar Mohammadifar
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 26
Harvesting spatiotemporal correlation from sky image sequence to improve ultra-short-term solar irradiance forecasting
Jingxuan Liu, Haixiang Zang, Tao Ding, et al.
Renewable Energy (2023) Vol. 209, pp. 619-631
Closed Access | Times Cited: 15
Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning
Yuan Gao, Zehuan Hu, Wei-An Chen, et al.
Energy (2024) Vol. 302, pp. 131863-131863
Closed Access | Times Cited: 4
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model
Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108702-108702
Open Access | Times Cited: 4
A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting
Yuan Gao, Zehuan Hu, Wei-An Chen, et al.
Applied Energy (2024) Vol. 378, pp. 124844-124844
Open Access | Times Cited: 4
A Three-stage Adjustable Robust Optimization Framework for Energy Base Leveraging Transfer Learning
Yuan Gao, Yucan Zhao, Sile Hu, et al.
Energy (2025), pp. 135037-135037
Closed Access
Accurate solar power prediction with advanced hybrid deep learning approach
Dongran Song, Muhammad Shams Ur Rehman, Xiaofei Deng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110367-110367
Closed Access
Deep learning model for regional solar radiation estimation using satellite images
Erşan Ömer YÜZER, Altuğ Bozkurt
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 8, pp. 102057-102057
Open Access | Times Cited: 19
Page 1 - Next Page

Scroll to top