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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 combined deep learning application for short term load forecasting
İlyas Özer, Serhat Berat Efe, Harun ÖZBAY
Alexandria Engineering Journal (2021) Vol. 60, Iss. 4, pp. 3807-3818
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Giuseppe Pinto, Zhe Wang, Abhishek Roy, et al.
Advances in Applied Energy (2022) Vol. 5, pp. 100084-100084
Open Access | Times Cited: 189
Short-term power load forecasting for combined heat and power using CNN-LSTM enhanced by attention mechanism
Anping Wan, Qing Chang, Khalil AL-Bukhaiti, et al.
Energy (2023) Vol. 282, pp. 128274-128274
Closed Access | Times Cited: 169
Comparing Long Short-Term Memory (LSTM) and bidirectional LSTM deep neural networks for power consumption prediction
Davi Guimarães da Silva, Anderson Alvarenga de Moura Meneses
Energy Reports (2023) Vol. 10, pp. 3315-3334
Open Access | Times Cited: 60
Stacking Deep learning and Machine learning models for short-term energy consumption forecasting
Sujan Reddy A, S. Akashdeep, R. Harshvardhan, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101542-101542
Closed Access | Times Cited: 50
Ranking building design and operation parameters for residential heating demand forecasting with machine learning
Milagros Álvarez-Sanz, Felicia Agatha Satriya, Jon Terés-Zubiaga, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108817-108817
Open Access | Times Cited: 11
Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies
Guannan Li, Yubei Wu, Jiangyan Liu, et al.
Energy and Buildings (2022) Vol. 275, pp. 112461-112461
Closed Access | Times Cited: 29
Boosting short term electric load forecasting of high & medium voltage substations with visibility graphs and graph neural networks
Νικόλαος Γιαμαρέλος, Elias N. Zois
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101304-101304
Closed Access | Times Cited: 7
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: 7
Electricity load forecasting and feature extraction in smart grid using neural networks
Nishant Jha, Deepak Prashar, Mamoon Rashid, et al.
Computers & Electrical Engineering (2021) Vol. 96, pp. 107479-107479
Closed Access | Times Cited: 37
A hybrid EMD-GRNN-PSO in intermittent time-series data for dengue fever forecasting
Wiwik Anggraeni, Eko Mulyanto Yuniarno, Reza Fuad Rachmadi, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121438-121438
Closed Access | Times Cited: 15
A Novel Deep Learning-Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid
Camille Franklin Mbey, Felix Ghislain Yem Souhe, Vinny Junior Foba Kakeu, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 6
Solar photovoltaic generation and electrical demand forecasting using multi-objective deep learning model for smart grid systems
Camille Franklin Mbey, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 6
Performance assessment of cross office building energy prediction in the same region using the domain adversarial transfer learning strategy
Guannan Li, Zixi Wang, Jiajia Gao, et al.
Applied Thermal Engineering (2024) Vol. 241, pp. 122357-122357
Closed Access | Times Cited: 5
Performance evaluation of LSTM neural networks for consumption prediction
Davi Guimarães da Silva, Marla Teresinha Barbosa Geller, Mauro Sérgio dos Santos Moura, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2022) Vol. 2, pp. 100030-100030
Open Access | Times Cited: 20
Electrical Load Demand Forecasting Using Feed-Forward Neural Networks
Eduardo Praum Machado, Tiago Pinto, Vanessa Guedes, et al.
Energies (2021) Vol. 14, Iss. 22, pp. 7644-7644
Open Access | Times Cited: 25
Sensorless Position Estimation in Electromagnetic Launchers Using Recurrent Neural Networks with Repeated k-Fold Cross-Validation
Harun ÖZBAY, İlyas Özer, Adem Dalcalı, et al.
Arabian Journal for Science and Engineering (2025)
Open Access
Towards sustainable energy management: Load forecasting techniques in smart grids
S. V. Gayetri Devi, C.M. Krishna
AIP conference proceedings (2025) Vol. 3280, pp. 030005-030005
Closed Access
Short‐Term Power Load Prediction Based on Cluster Analysis and Temporal Convolutional Networks of Attention Mechanism
Shuqi Niu, Zhao Zhang, Hongyan Zhou, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 9-11
Closed Access
Short-Term Electricity-Load Forecasting by deep learning: A comprehensive survey
Qi Dong, Rubing Huang, Chenhui Cui, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 154, pp. 110980-110980
Closed Access
Species-level microfossil identification for globotruncana genus using hybrid deep learning algorithms from the scratch via a low-cost light microscope imaging
İlyas Özer, Caner Kaya Ozer, Ali Can Karaca, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 9, pp. 13689-13718
Closed Access | Times Cited: 14
Discrete entropy-based health indicator and LSTM for the forecasting of bearing health
Yuqing Zhou, Anil Kumar, Chander Parkash, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 2
Closed Access | Times Cited: 8
Daily residential heat load prediction based on a hybrid model of signal processing, econometric model, and support vector regression
Guixiang Xue, Yahui Zhang, Shi-ang Yu, et al.
Thermal Science and Engineering Progress (2023) Vol. 43, pp. 102005-102005
Closed Access | Times Cited: 8
Smart coordination of predictive load balancing for residential electric vehicles based on EMD‐Bayesian optimised LSTM
Murat Akil, Emrah Dokur, Ramazan Bayındır
IET Renewable Power Generation (2022) Vol. 16, Iss. 15, pp. 3216-3232
Open Access | Times Cited: 11
EEG-Driven Biometric Authentication for Investigation of Fourier Synchrosqueezed Transform-ICA Robust Framework
Kutlucan Görür, Emre ÖLMEZ, Zeynep Ozer, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 8, pp. 10901-10923
Closed Access | Times Cited: 6
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