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OpenAlex Citation Counts

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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:

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

Showing 1-25 of 86 citing articles:

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
Muhammad Naveed Akhter, Saad Mekhilef, Hazlie Mokhlis, et al.
IET Renewable Power Generation (2019) Vol. 13, Iss. 7, pp. 1009-1023
Open Access | Times Cited: 365
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Sujan Ghimire, Ravinesh C. Deo, Nawin Raj, et al.
Applied Energy (2019) Vol. 253, pp. 113541-113541
Closed Access | Times Cited: 338
A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
Dieu Tien Bui, Phuong Thao Thi Ngo, Tien Dat Pham, et al.
CATENA (2019) Vol. 179, pp. 184-196
Closed Access | Times Cited: 264
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Sujan Ghimire, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Aitazaz A. Farooque, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 194
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Sujan Ghimire, Ravinesh C. Deo, Nathan Downs, et al.
Journal of Cleaner Production (2019) Vol. 216, pp. 288-310
Closed Access | Times Cited: 177
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Yong Zhou, Yanfeng Liu, Dengjia Wang, et al.
Energy Conversion and Management (2021) Vol. 235, pp. 113960-113960
Closed Access | Times Cited: 173
Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results
Sujan Ghimire, Ravinesh C. Deo, Hua Wang, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 1061-1061
Open Access | Times Cited: 76
Machine learning models to quantify and map daily global solar radiation and photovoltaic power
Yu Feng, Weiping Hao, Haoru Li, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 118, pp. 109393-109393
Closed Access | Times Cited: 135
Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review
Sina Ardabili, Amir Mosavi, Majid Dehghani, et al.
Lecture notes in networks and systems (2020), pp. 52-62
Closed Access | Times Cited: 130
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
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 Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model
Tao Hai, Ahmad Sharafati, Mohammed Achite, et al.
IEEE Access (2020) Vol. 8, pp. 12026-12042
Open Access | Times Cited: 76
A novel combined multi-task learning and Gaussian process regression model for the prediction of multi-timescale and multi-component of solar radiation
Yong Zhou, Yanfeng Liu, Dengjia Wang, et al.
Journal of Cleaner Production (2020) Vol. 284, pp. 124710-124710
Closed Access | Times Cited: 69
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
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
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Javier Del Ser, David Casillas-Pérez, L. Cornejo-Bueno, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108526-108526
Open Access | Times Cited: 50
New double decomposition deep learning methods for river water level forecasting
A. A. Masrur Ahmed, Ravinesh C. Deo, Afshin Ghahramani, et al.
The Science of The Total Environment (2022) Vol. 831, pp. 154722-154722
Closed Access | Times Cited: 48
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
Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Renewable Energy (2022) Vol. 190, pp. 408-424
Closed Access | Times Cited: 43
A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
Naima El-Amarty, Manal Marzouq, Hakim El Fadili, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 5407-5439
Closed Access | Times Cited: 37
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
Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia
Mohanad S. AL‐Musaylh, Ravinesh C. Deo, Jan Adamowski, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 113, pp. 109293-109293
Closed Access | Times Cited: 60
Estimating soil salinity with different fractional vegetation cover using remote sensing
Junrui Zhang, Zhitao Zhang, Junying Chen, et al.
Land Degradation and Development (2020) Vol. 32, Iss. 2, pp. 597-612
Closed Access | Times Cited: 54
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