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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 scoping review of deep neural networks for electric load forecasting
Nicolai Bo Vanting, Zheng Ma, Bo Nørregaard Jôrgensen
Energy Informatics (2021) Vol. 4, Iss. S2
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A review of artificial intelligence applications in manufacturing operations
Siby Jose Plathottam, Arin Rzonca, Rishi Lakhnori, et al.
Journal of Advanced Manufacturing and Processing (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 60
An Insight of Deep Learning Based Demand Forecasting in Smart Grids
Javier M. Aguiar-Pérez, María A. Pérez-Juárez
Sensors (2023) Vol. 23, Iss. 3, pp. 1467-1467
Open Access | Times Cited: 27
Feature extraction and classification of time-varying power load characteristics based on PCANet and CNN+Bi-LSTM algorithms
Shaorun Bian, Zhenshu Wang, Wenhao Song, et al.
Electric Power Systems Research (2023) Vol. 217, pp. 109149-109149
Closed Access | Times Cited: 17
Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
Huimin Han, Harold Neira-Molina, Asad Khan, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Research on Urbanization and Ecological Environmental Response: A Case Study of Zhengzhou City
Han Feng, Dian Wang, Qiyan Ji
Sustainability (2025) Vol. 17, Iss. 2, pp. 458-458
Open Access
A Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods
Zhipeng Ma, Bo Nørregaard Jôrgensen, Zheng Ma
Energies (2024) Vol. 17, Iss. 2, pp. 500-500
Open Access | Times Cited: 4
A Short-Term Load Forecasting Model Based on Crisscross Grey Wolf Optimizer and Dual-Stage Attention Mechanism
Renxi Gong, Xianglong Li
Energies (2023) Vol. 16, Iss. 6, pp. 2878-2878
Open Access | Times Cited: 9
Advanced Integration of Forecasting Models for Sustainable Load Prediction in Large-Scale Power Systems
Jiansong Tang, Ryosuke Saga, Hanbo Cai, et al.
Sustainability (2024) Vol. 16, Iss. 4, pp. 1710-1710
Open Access | Times Cited: 2
Using weather data in energy time series forecasting: the benefit of input data transformations
Oliver Neumann, Marian Turowski, Ralf Mikut, et al.
Energy Informatics (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 6
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 6
A novel data-driven multi-energy load forecasting model
Yong Yao, Shi‐Zhu Li, Zhichao Wu, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 9
Identification of natural disaster impacted electricity load profiles with k means clustering algorithm
Simon Hedegård Jessen, Zheng Ma, Francisco Danang Wijaya, et al.
Energy Informatics (2022) Vol. 5, Iss. S4
Open Access | Times Cited: 8
Short-Term Load Forecasting Based on Outlier Correction, Decomposition, and Ensemble Reinforcement Learning
Jiakang Wang, Hui Liu, Guangji Zheng, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4401-4401
Open Access | Times Cited: 4
Short-Term Load Demand Forecasting Based on Weather and Influencing Factors Using Deep Neural Network Experts for Sustainable Development Goal 7
Radhika Kotecha, S. K. Ukarande, K. S. Hosalikar, et al.
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access | Times Cited: 1
Load Forecasting Using Random Forest Regression Algorithm in Machine Learning
Madhu Malini M K, B.R. Iswariya, Hari Prasad, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Assessing the Flexibility of Power Systems through Neural Networks: A Study of the Hellenic Transmission System
Christos D. Kaskouras, Konstantinos F. Krommydas, Ioannis Baltas, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 5987-5987
Open Access | Times Cited: 1
ForecastExplainer: Explainable household energy demand forecasting by approximating shapley values using DeepLIFT
Md Shajalal, Alexander Boden, Gunnar Stevens
Technological Forecasting and Social Change (2024) Vol. 206, pp. 123588-123588
Open Access | Times Cited: 1
PConvLSTM: an effective parallel ConvLSTM-based model for short-term electricity load forecasting
Nilakanta Kshetrimayum, Khumukcham Robindro Singh, Nazrul Hoque
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 1
A Hybrid Residential Short-Term Load Forecasting Method Using Attention Mechanism and Deep Learning
Xinhui Ji, Huijie Huang, Dongsheng Chen, et al.
Buildings (2022) Vol. 13, Iss. 1, pp. 72-72
Open Access | Times Cited: 7
Applications of Artificial Intelligence for Demand Forecasting
Thi Thuy Hanh Nguyen
Operations and Supply Chain Management An International Journal (2023), pp. 424-434
Open Access | Times Cited: 4
Deep learning-based load forecasting considering data reshaping using MATLAB\Simulink
Zhalla Hamad, Ismael Abdulrahman
International journal of energy and environmental engineering (2022) Vol. 13, Iss. 2, pp. 853-869
Closed Access | Times Cited: 6
Comparative approach to different convolutional neural network (CNN) architectures applied to human behavior detection
Juliana Verga Shirabayashi, Ana Silvia Moretto Braga, Jair da Silva
Neural Computing and Applications (2023) Vol. 35, Iss. 17, pp. 12915-12925
Open Access | Times Cited: 3
Energy Grid Optimization Using Deep Machine Learning: A Review of Challenges and Opportunities
S.K. Fasogbon, Samuel Adavize Shaibu
(2023)
Open Access | Times Cited: 3
A Scoping Review of Energy Load Disaggregation
Balázs András Tolnai, Zheng Ma, Bo Nørregaard Jôrgensen
Lecture notes in computer science (2023), pp. 209-221
Open Access | Times Cited: 3
Short-Term Load Forecasting of the Greek Power System Using a Dynamic Block-Diagonal Fuzzy Neural Network
George Kandilogiannakis, Paris Mastorocostas, Athanasios Voulodimos, et al.
(2023)
Open Access | Times Cited: 2
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