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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:

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: 43

Showing 1-25 of 43 citing articles:

A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
Padala Raja Shekar, Aneesh Mathew, P. V. Yeswanth, et al.
Artificial Intelligence in Geosciences (2024) Vol. 5, pp. 100073-100073
Open Access | Times Cited: 17
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: 16
A multi-model ensemble-based CMIP6 assessment of future solar radiation and PV potential under various climate warming scenarios
Samuel Chukwujindu Nwokolo, Julie C. Ogbulezie, Ogri J. Ushie
Optik (2023) Vol. 285, pp. 170956-170956
Closed Access | Times Cited: 27
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
Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review
R. Mathumitha, P. Rathika, K. Manimala
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 14
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: 12
Energy demand forecasting using convolutional neural network and modified war strategy optimization algorithm
Huanhuan Hu, Shufen Gong, Bahman Taheri
Heliyon (2024) Vol. 10, Iss. 6, pp. e27353-e27353
Open Access | Times Cited: 9
Optimization of electricity generation and assessment of provincial grid emission factors from 2020 to 2060 in China
Min Jia, Zhe Zhang, Li Zhang, et al.
Applied Energy (2024) Vol. 373, pp. 123838-123838
Closed Access | Times Cited: 9
Predicting customer demand with deep learning: an LSTM-based approach incorporating customer information
Golnaz Hooshmand Pakdel, Yong He, Xuhui Chen
International Journal of Production Research (2025), pp. 1-13
Closed Access | Times Cited: 1
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: 20
Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 374, pp. 123920-123920
Open Access | Times Cited: 7
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: 6
Analogue and Physical Reservoir Computing Using Water Waves: Applications in Power Engineering and Beyond
Ivan S. Maksymov
Energies (2023) Vol. 16, Iss. 14, pp. 5366-5366
Open Access | Times Cited: 16
Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review
Julius Adinkrah, Francis Kemausuor, Eric Tutu Tchao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 210, pp. 115161-115161
Closed Access | Times Cited: 5
A discrete time-varying grey Fourier model with fractional order terms for electricity consumption forecast
Xiaomei Liu, Sihan Li, Meina Gao
Energy (2024) Vol. 296, pp. 131065-131065
Closed Access | Times Cited: 4
A federated and transfer learning based approach for households load forecasting
Gurjot Singh, Jatin Bedi
Knowledge-Based Systems (2024) Vol. 299, pp. 111967-111967
Closed Access | Times Cited: 4
An Optimized Extreme Learning Machine Composite Framework for Point, Probabilistic, and Quantile Regression Forecasting of Carbon Price
Xu‐Ming Wang, Jiaqi Zhou, Xiaobing Yu
Process Safety and Environmental Protection (2025), pp. 106772-106772
Closed Access
TXtreme: transformer-based extreme value prediction framework for time series forecasting
Hemant Yadav, Amit Thakkar
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Sujan Ghimire, Ravinesh C. Deo, Ningbo Jiang, et al.
Atmospheric Environment (2025), pp. 121079-121079
Closed Access
Rockburst probability early warning method based on integrated infrared temperature and acoustic emission parameters
Fuqiang Ren, Zhenyu Gao, Ke Ma, et al.
International Journal of Rock Mechanics and Mining Sciences (2025) Vol. 189, pp. 106097-106097
Closed Access
Electricity demand forecasting based on feature extraction and optimized backpropagation neural network
Eric Ofori-Ntow, Yao Yevenyo Ziggah
e-Prime - Advances in Electrical Engineering Electronics and Energy (2023) Vol. 6, pp. 100293-100293
Open Access | Times Cited: 10
Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants
Ibai Ramirez, Jose Ignacio Aizpurua, Iker Lasa, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107841-107841
Closed Access | Times Cited: 3
Multi-strategy Hybrid Coati Optimizer: A Case Study of Prediction of Average Daily Electricity Consumption in China
Gang Hu, Sa Wang, Essam H. Houssein
Journal of Bionic Engineering (2024) Vol. 21, Iss. 5, pp. 2540-2568
Closed Access | Times Cited: 3
Real-time Error Compensation Transfer Learning with Echo State Networks for Enhanced Wind Power Prediction
Yingqin Zhu, Yue Liu, Nan Wang, et al.
Applied Energy (2024) Vol. 379, pp. 124893-124893
Open Access | Times Cited: 3
The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives
Siti Rosilah Arsad, Muhamad Haziq Hasnul Hadi, Nayli Aliah Mohd Afandi, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6510-6510
Open Access | Times Cited: 7
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