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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:

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

Showing 20 citing articles:

A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems
Mahmoud M. Kiasari, Mahdi Ghaffari, Hamed H. Aly
Energies (2024) Vol. 17, Iss. 16, pp. 4128-4128
Open Access | Times Cited: 24
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
Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models
Hongkun Fu, Jian Lü, Jian Li, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 205-205
Open Access | Times Cited: 1
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
Electricity consumption forecasting for sustainable smart cities using machine learning methods
Darius Peteleaza, Alexandru Matei, Radu Sorostinean, et al.
Internet of Things (2024) Vol. 27, pp. 101322-101322
Open Access | Times Cited: 6
Improved TLBO Algorithm for Optimal Energy Management in a Hybrid Microgrid with Support Vector Machine-based Forecasting of Uncertain Parameters
Raji Krishna, S. Hemamalini
Results in Engineering (2024), pp. 102992-102992
Open Access | Times Cited: 6
Wind power prediction through acoustic data-driven online modeling and active wake control
Bingchuan Sun, Mingxu Su, Jié He
Energy Conversion and Management (2024) Vol. 319, pp. 118920-118920
Closed Access | Times Cited: 5
A data decomposition and attention mechanism-based hybrid approach for electricity load forecasting
Hadi Oqaibi, Jatin Bedi
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 4103-4118
Open Access | Times Cited: 4
Atmospheric Visibility and Cloud Ceiling Predictions with Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji’s Aviation Industry
Shiveel Raj, Ravinesh C. Deo, Ekta Sharma, et al.
IEEE Access (2024) Vol. 12, pp. 72530-72543
Open Access | Times Cited: 4
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
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, et al.
Energy and AI (2025), pp. 100492-100492
Open Access
Identification of driving behavior in continuous diverging sections of expressway system interchange based on CNN-BiLSTM
Guanghui Sun, Hongbin Zhang, Liande Zhong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Üyelik Fonksiyonları Sayısının ve Türünün Tahminler Üzerindeki Etkisinin Araştırılması: Elektrik Üretim Endeksi Tahmini Örneği
Abdurrahman Özcan, Halil Nusret Buluş
Afyon Kocatepe University Journal of Sciences and Engineering (2025) Vol. 25, Iss. 2, pp. 341-353
Open Access
Methods and attributes for customer-centric dynamic electricity tariff design: A review
Tasmeea Rahman, Mohammad Lutfi Othman, Samsul Bahari Mohd Noor, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114228-114228
Closed Access | Times Cited: 9
Improving Long-Term Electricity Time Series Forecasting in Smart Grid with a Three-Stage Channel-Temporal Approach
Zhao Sun, Dongjin Song, Qinke Peng, et al.
Journal of Cleaner Production (2024) Vol. 468, pp. 143051-143051
Closed Access | Times Cited: 2
Estimating electricity consumption at city-level through advanced machine learning methods
Árpád Gellért, Lorena-Maria Olaru, Adrian Florea, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 1
Proposal of a methodology for prediction of heavy metals concentration based on PM2.5 concentration and meteorological variables using machine learning
Shin-Young Park, Hye‐Won Lee, Jaymin Kwon, et al.
Asian Journal of Atmospheric Environment (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
A novel green learning artificial intelligence model for regional electrical load prediction
Hao-Hsuan Huang, Yun-Hsun Huang
Expert Systems with Applications (2024) Vol. 256, pp. 124907-124907
Closed Access | Times Cited: 1
Dynamic modeling of post-combustion carbon capture process based on multi-gate mixture-of-experts incorporating dual-stage attention-based encoder-decoder network
Cheng Zheng, Peng Sha, Zhaolan Mo, et al.
Applied Thermal Engineering (2024) Vol. 258, pp. 124838-124838
Closed Access | Times Cited: 1
A novel incremental ensemble learning for real-time explainable forecasting of electricity price
Laura Melgar-García, Alicia Troncoso
Knowledge-Based Systems (2024), pp. 112574-112574
Closed Access
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