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:

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Ravinesh C. Deo, Xiaohu Wen, Qi Feng
Applied Energy (2016) Vol. 168, pp. 568-593
Closed Access | Times Cited: 330

Showing 51-75 of 330 citing articles:

The potential of novel data mining models for global solar radiation prediction
Ahmad Sharafati, Khabat Khosravi, Payam Khosravinia, et al.
International Journal of Environmental Science and Technology (2019) Vol. 16, Iss. 11, pp. 7147-7164
Closed Access | Times Cited: 100
A hybrid solar radiation modeling approach using wavelet multiresolution analysis and artificial neural networks
Sajid Hussain, Ali Al-Alili
Applied Energy (2017) Vol. 208, pp. 540-550
Closed Access | Times Cited: 98
Comparison of deterministic and data-driven models for solar radiation estimation in China
Wenmin Qin, Lunche Wang, Aiwen Lin, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 81, pp. 579-594
Closed Access | Times Cited: 97
Missing value imputation for short to mid-term horizontal solar irradiance data
Haydar Demirhan, Zoe Renwick
Applied Energy (2018) Vol. 225, pp. 998-1012
Closed Access | Times Cited: 96
Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia
Ellysia Jumin, Faridah Basaruddin, Yuzainee Bte. Md Yusoff, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 21, pp. 26571-26583
Closed Access | Times Cited: 96
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
Sancho Salcedo‐Sanz, Ravinesh C. Deo, L. Cornejo-Bueno, et al.
Applied Energy (2017) Vol. 209, pp. 79-94
Closed Access | Times Cited: 94
Deep learning hybrid method for islanding detection in distributed generation
Xiangrui Kong, Xiaoyuan Xu, Zheng Yan, et al.
Applied Energy (2017) Vol. 210, pp. 776-785
Closed Access | Times Cited: 93
Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
Mumtaz Ali, Ravinesh C. Deo, Tek Maraseni, et al.
Journal of Hydrology (2019) Vol. 576, pp. 164-184
Closed Access | Times Cited: 93
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms
Ekta Sharma, Ravinesh C. Deo, Ramendra Prasad, et al.
The Science of The Total Environment (2019) Vol. 709, pp. 135934-135934
Closed Access | Times Cited: 93
PV power forecasting based on data-driven models: a review
Priya Gupta, Rhythm Singh
International Journal of Sustainable Engineering (2021) Vol. 14, Iss. 6, pp. 1733-1755
Open Access | Times Cited: 92
A fuzzy regression with support vector machine approach to the estimation of horizontal global solar radiation
Furkan Başer, Haydar Demirhan
Energy (2017) Vol. 123, pp. 229-240
Closed Access | Times Cited: 91
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Soukayna Mouatadid, Nawin Raj, Ravinesh C. Deo, et al.
Atmospheric Research (2018) Vol. 212, pp. 130-149
Closed Access | Times Cited: 90
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Mumtaz Ali, Ramendra Prasad, Yong Xiang, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 132, pp. 110003-110003
Closed Access | Times Cited: 90
A firefly algorithm modified support vector machine for the credit risk assessment of supply chain finance
Hao Zhang, Yuxin Shi, Xueran Yang, et al.
Research in International Business and Finance (2021) Vol. 58, pp. 101482-101482
Closed Access | Times Cited: 89
Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Sujan Ghimire, Ravinesh C. Deo, Nawin Raj, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 113, pp. 109247-109247
Closed Access | Times Cited: 88
Hybrid system based on a multi-objective optimization and kernel approximation for multi-scale wind speed forecasting
Wenyu Zhang, Lifang Zhang, Jianzhou Wang, et al.
Applied Energy (2020) Vol. 277, pp. 115561-115561
Closed Access | Times Cited: 88
Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle
Ravinesh C. Deo, Nathan Downs, Alfio V. Parisi, et al.
Environmental Research (2017) Vol. 155, pp. 141-166
Closed Access | Times Cited: 87
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Sujan Ghimire, Ravinesh C. Deo, Nathan Downs, et al.
Remote Sensing of Environment (2018) Vol. 212, pp. 176-198
Closed Access | Times Cited: 86
Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Sujan Ghimire, Ravinesh C. Deo, Nawin Raj, et al.
Energies (2019) Vol. 12, Iss. 12, pp. 2407-2407
Open Access | Times Cited: 84
Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model
Tao Hai, Ahmed A. Ewees, Ali Omran Al-Sulttani, et al.
Energy Reports (2020) Vol. 7, pp. 136-157
Open Access | Times Cited: 76
Forecasting Hourly Global Horizontal Solar Irradiance in South Africa Using Machine Learning Models
Tendani Mutavhatsindi, Caston Sigauke, Rendani Mbuvha
IEEE Access (2020) Vol. 8, pp. 198872-198885
Open Access | Times Cited: 73
Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach
Cem Emeksiz, Mustafa Tan
Energy (2021) Vol. 238, pp. 121764-121764
Closed Access | Times Cited: 67
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model
Sujan Ghimire, Thong Nguyen‐Huy, Ravinesh C. Deo, et al.
Sustainable materials and technologies (2022) Vol. 32, pp. e00429-e00429
Closed Access | Times Cited: 66
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
A. A. Masrur Ahmed, Ravinesh C. Deo, Nawin Raj, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 554-554
Open Access | Times Cited: 65
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
Sujan Ghimire, Binayak Bhandari, David Casillas-Pérez, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 112, pp. 104860-104860
Open Access | Times Cited: 65

Scroll to top