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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 deep learning-based forecasting model optimized by heuristic algorithm for energy management of microgrid
Hyoungin Kim, M.K. Kim
Applied Energy (2022) Vol. 332, pp. 120525-120525
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

A comprehensive review on demand side management and market design for renewable energy support and integration
Subhasis Panda, Sarthak Mohanty, Pravat Kumar Rout, et al.
Energy Reports (2023) Vol. 10, pp. 2228-2250
Open Access | Times Cited: 59
A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan, et al.
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 1009-1025
Closed Access | Times Cited: 48
Multi-Objective Optimization of an Islanded Green Energy System Utilizing Sophisticated Hybrid Metaheuristic Approach
Aykut Fatih Güven, Nuran Yörükeren, Sayed M. Eldin, et al.
IEEE Access (2023) Vol. 11, pp. 103044-103068
Open Access | Times Cited: 47
A review on microgrid optimization with meta-heuristic techniques: Scopes, trends and recommendation
Afifa Akter, Ehsanul Islam Zafir, Nazia Hasan Dana, et al.
Energy Strategy Reviews (2024) Vol. 51, pp. 101298-101298
Open Access | Times Cited: 44
Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model
Simin Peng, Junchao Zhu, Tiezhou Wu, et al.
Energy (2024) Vol. 298, pp. 131345-131345
Closed Access | Times Cited: 35
Review of Energy Management Systems in Microgrids
Süleyman Emre Eyimaya, Necmi Altın
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1249-1249
Open Access | Times Cited: 10
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Yuvaraj Natarajan, K. R. Sri Preethaa, Girish Wadhwa, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1925-1925
Open Access | Times Cited: 9
The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, et al.
IEEE Access (2024) Vol. 12, pp. 127440-127459
Open Access | Times Cited: 9
Optimizing Microgrid Operation: Integration of Emerging Technologies and Artificial Intelligence for Energy Efficiency
Paúl Arévalo, Danny Ochoa-Correa, Edisson Villa‐Ávila
Electronics (2024) Vol. 13, Iss. 18, pp. 3754-3754
Open Access | Times Cited: 9
Optimizing virtual energy sharing in renewable energy communities of residential users for incentives maximization
Marialaura Di Somma, Mohammad Dolatabadi, Alessandro Burgio, et al.
Sustainable Energy Grids and Networks (2024) Vol. 39, pp. 101492-101492
Open Access | Times Cited: 8
Spatial-Temporal Graph Convolutional-Based Recurrent Network for Electric Vehicle Charging Stations Demand Forecasting in Energy Market
Hyung Joon Kim, Mun-Kyeom Kim
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 4, pp. 3979-3993
Closed Access | Times Cited: 7
Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
Mohd Herwan Sulaiman, Zuriani Mustaffa
Energy and AI (2024) Vol. 16, pp. 100371-100371
Open Access | Times Cited: 6
Machine learning optimization for hybrid electric vehicle charging in renewable microgrids
Marwa Hassan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Hybrid Intelligent Control System for Adaptive Microgrid Optimization: Integration of Rule-Based Control and Deep Learning Techniques
Osman Akbulut, Muhammed Cavus, Mehmet Cengiz, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2260-2260
Open Access | Times Cited: 4
Efficient Coordination of Renewable Energy Resources through Optimal Reversible Pumped Hydro-Storage Integration for Autonomous Microgrid Economic Operation
Talal Alharbi, Farag K. Abo‐Elyousr, Alaaeldin M. Abdelshafy
Energy (2024) Vol. 304, pp. 131910-131910
Closed Access | Times Cited: 4
A Comprehensive Review of Artificial Intelligence Approaches for Smart Grid Integration and Optimization
Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100724-100724
Open Access | Times Cited: 4
An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection
Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0310465-e0310465
Open Access
A Study on Cotton Futures Price Forecasting Based on Pso-Bilstm Approach
Xin Yang, Yuhan Li, Yaoxi Liu
(2025)
Closed Access
A Study on Cotton Futures Price Forecasting Based on Pso-Bilstm Approach
Xin Yang, Yuhan Li, Yaoxi Liu
(2025)
Closed Access
Robust deep learning model with attention framework for spatiotemporal forecasting of solar and wind energy production
Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al‐Abri, et al.
Energy Conversion and Management X (2025), pp. 100919-100919
Open Access
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
Te Li, Min Zheng, Yan Zhou
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access
Time-Series Forecasting of Energy Consumption Using LSTM Networks for Optimized Microgrid Management
Kartik S. Pandya, Rupesh Kumar Tipu, Jaymit Pandya
(2025), pp. 1-6
Closed Access
Can Integrating SoC Management in Economic Dispatch Enhance Real-Time Operation of a Microgrid?
Alessia Cagnano
Energies (2025) Vol. 18, Iss. 7, pp. 1802-1802
Open Access
Multi-Step Ahead Forecasting of the Energy Consumed by the Residential and Commercial Sectors in the United States Based on a Hybrid CNN-BiLSTM Model
Yifei Chen, Zhihan Fu
Sustainability (2023) Vol. 15, Iss. 3, pp. 1895-1895
Open Access | Times Cited: 11
Forecast-Based Energy Management for Optimal Energy Dispatch in a Microgrid
Francisco Durán, Wilson Pavón, Luis I. Minchala
Energies (2024) Vol. 17, Iss. 2, pp. 486-486
Open Access | Times Cited: 3
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