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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 Energy Management Based on Convolutional Long Short-Term Memory Network for Smart Power Distribution System
Faisal Mohammad, Mohamed A. Ahmed, Young-Chon Kim
Energies (2021) Vol. 14, Iss. 19, pp. 6161-6161
Open Access | Times Cited: 13

Showing 13 citing articles:

Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions
Md Morshed Alam, M. J. Hossain, Md Ahasan Habib, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 211, pp. 115251-115251
Open Access | Times Cited: 3
Energy Demand Load Forecasting for Electric Vehicle Charging Stations Network Based on ConvLSTM and BiConvLSTM Architectures
Faisal Mohammad, Dong-Ki Kang, Mohamed A. Ahmed, et al.
IEEE Access (2023) Vol. 11, pp. 67350-67369
Open Access | Times Cited: 28
Optimized short-term load forecasting in residential buildings based on deep learning methods for different time horizons
Arghavan Irankhah, Mohammad Hossein Yaghmaee, Sara Ershadi-Nasab
Journal of Building Engineering (2024) Vol. 84, pp. 108505-108505
Closed Access | Times Cited: 8
Integrated Carbon-Capture-Based Low-Carbon Economic Dispatch of Power Systems Based on EEMD-LSTM-SVR Wind Power Forecasting
Can Ding, Yiyuan Zhou, Qingchang Ding, et al.
Energies (2022) Vol. 15, Iss. 5, pp. 1613-1613
Open Access | Times Cited: 29
Advances in Deep Learning Techniques for Short-term Energy Load Forecasting Applications: A Review
Radhika Chandrasekaran, Senthil Kumar Paramasivan
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors
Heba-Allah Ibrahim El-Azab, R.A. Swief, Noha H. El-Amary, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer
Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
To change or not to change? Modeling software system interactions using Temporal Graphs and Graph Neural Networks: A focus on change propagation
Manuella Germanos, Danielle Azar, Eileen Marie Hanna
Information and Software Technology (2023) Vol. 166, pp. 107368-107368
Closed Access | Times Cited: 3
Comparative analysis of deep learning techniques based COVID-19 impact assessment on electricity consumption in distribution network
A. O. Amole, Stephen Oladipo, Desmond Eseoghene Ighravwe, et al.
Nigerian Journal of Technological Development (2023) Vol. 20, Iss. 3, pp. 23-46
Open Access | Times Cited: 2
Optimization and analysis of distributed power carrying capacity of distribution network based on DR-DQN
Zhichun Yang, Fan Yang, Huaidong Min, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Seasonal Forecasting of the Hourly Electricity Demand: Impact Analysis of Different Factors Applying Machine and Deep Learning Algorithms
Heba-Allah Ibrahim El-Azab, R.A. Swief, Noha H. El-Amary, et al.
(2024)
Closed Access
Self-Attention (SA)-ConvLSTM Encoder–Decoder Structure-Based Video Prediction for Dynamic Motion Estimation
Jeongdae Kim, Hyunseung Choo, Jongpil Jeong
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11315-11315
Open Access
A Hybrid Deep Neural Network Architecture for Day-Ahead Electricity Forecasting: Post-COVID Paradigm
Neilson Luniere Vilaça, M. G. F. Costa, Cícero Ferreira Fernandes Costa Filho
Energies (2023) Vol. 16, Iss. 8, pp. 3546-3546
Open Access | Times Cited: 1
Seasonal Forecasting of Wind and Solar Power Using Deep Learning Algorithms
Heba-Allah Ibrahim El-Azab, R.A. Swief, Noha H. El-Amary, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 1
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