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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:

Energy Demand Forecasting and Optimizing Electric Systems for Developing Countries
Saadman S. Arnob, Abu Isha Md. Sadot Arefin, Ahmed Yousuf Saber, et al.
IEEE Access (2023) Vol. 11, pp. 39751-39775
Open Access | Times Cited: 12

Showing 12 citing articles:

Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables
André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Patrícia Helena dos Santos Martins, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5846-5846
Open Access | Times Cited: 6
Mitigating concept drift challenges in evolving smart grids: An adaptive ensemble LSTM for enhanced load forecasting
Abdul Azeem, Idris Ismail, Syed Sheeraz Mohani, et al.
Energy Reports (2025) Vol. 13, pp. 1369-1383
Closed Access
Hybrid prediction method for solar photovoltaic power generation using normal cloud parrot optimization algorithm integrated with extreme learning machine
Huachen Liu, Changlong Cai, Pangyue Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network
Yuxiao Liang, Zhishang Wang, Abderazek Ben Abdallah
IEEE Access (2024) Vol. 12, pp. 8135-8153
Open Access | Times Cited: 2
Forecasting data-driven system strength level for inverter-based resources-integrated weak grid systems using multi-objective machine learning algorithms
Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111112-111112
Open Access | Times Cited: 2
Predicting Short-Term Energy Demand in the Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with Sdgs 7, 9, and 13
M. Saef Ullah Miah, Junaida Sulaiman, Md. Imamul Islam, et al.
(2023)
Open Access | Times Cited: 2
Research on the Impact of the Differencing Operator on Ensemble Learning Algorithms in the Case of Peak Load Forecasting
Thanh Tran
Arabian Journal for Science and Engineering (2024)
Closed Access
Hybrid group method of data handling for time series forecasting of thermal generation dispatch in electrical power systems
William Gouvêa Buratto, Rafael Ninno Muniz, Rodolfo Cardoso, et al.
Research Square (Research Square) (2024)
Open Access
Application of Non-Parametric and Forecasting Models for the Sustainable Development of Energy Resources in Brazil
Gabriela Mayumi Saiki, André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, et al.
Resources (2024) Vol. 13, Iss. 11, pp. 150-150
Open Access
A Novel Neuro-Probabilistic Framework for Energy Demand Forecasting in Electric Vehicle Integration
Miguel Ángel Rojo-Yepes, Carlos D. Zuluaga, Sergio D. Saldarriaga-Zuluaga, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 11, pp. 493-493
Open Access
Electrical Tree and Partial Discharge Characteristics of Silicone Rubber Under Mechanical Pressure
Jingang Su, Peng Zhang, Zhen Liu, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5645-5645
Open Access
Energy Consumption and Production Forecasting Using Artificial Neural Network for Optimal Energy Cost Savings
Gustavo R. Días, Pedro Fonte, Filipe Barata
(2023), pp. 1-6
Closed Access
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