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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:

Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting
Sumeyra Demir, Krystof Mincev, Koen Kok, et al.
Applied Energy (2021) Vol. 304, pp. 117695-117695
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Electricity price forecasting on the day-ahead market using machine learning
Léonard Tschora, Erwan Pierre, Marc Plantevit, et al.
Applied Energy (2022) Vol. 313, pp. 118752-118752
Open Access | Times Cited: 121
Data Augmentation techniques in time series domain: a survey and taxonomy
Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10123-10145
Open Access | Times Cited: 121
Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization
Anbo Meng, Peng Wang, Guangsong Zhai, et al.
Energy (2022) Vol. 254, pp. 124212-124212
Closed Access | Times Cited: 92
Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme
Ping Jiang, Ying Nie, Jianzhou Wang, et al.
Energy Economics (2022) Vol. 117, pp. 106471-106471
Closed Access | Times Cited: 51
Physics-informed neural networks for building thermal modeling and demand response control
Yongbao Chen, Qiguo Yang, Zhe Chen, et al.
Building and Environment (2023) Vol. 234, pp. 110149-110149
Closed Access | Times Cited: 40
A Review of Computational Modeling in Wastewater Treatment Processes
M. Salomé Duarte, Gilberto Martins, Pedro Oliveira, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 784-804
Open Access | Times Cited: 39
Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale
Hussain Kazmi, Chun Fu, Clayton Miller
Building and Environment (2023) Vol. 239, pp. 110407-110407
Open Access | Times Cited: 33
Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation
Zhiqiang Chen, Jianbin Li, Long Cheng, et al.
Applied Energy (2023) Vol. 334, pp. 120711-120711
Open Access | Times Cited: 28
Biological neurons act as generalization filters in reservoir computing
Takuma Sumi, Hideaki Yamamoto, Yuichi Katori, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 25
Open Access | Times Cited: 24
Anomaly Detection for Sensor Signals Utilizing Deep Learning Autoencoder-Based Neural Networks
Fatemeh Esmaeili, Erica Cassie, Hong Phan T. Nguyen, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 405-405
Open Access | Times Cited: 23
Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets
Stylianos Loizidis, Andreas Kyprianou, George E. Georghiou
Applied Energy (2024) Vol. 363, pp. 123058-123058
Open Access | Times Cited: 15
A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism
Ying Nie, Ping Li, Jianzhou Wang, et al.
Applied Energy (2024) Vol. 366, pp. 123233-123233
Closed Access | Times Cited: 9
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas, Christos L. Athanasiadis, Dimitrios I. Doukas, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 742-742
Open Access | Times Cited: 1
Application of machine learning in polymer additive manufacturing: A review
Tahamina Nasrin, Farhad Pourkamali‐Anaraki, Amy M. Peterson
Journal of Polymer Science (2023) Vol. 62, Iss. 12, pp. 2639-2669
Open Access | Times Cited: 22
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121545-121545
Open Access | Times Cited: 18
Data Augmentation of a Corrosion Dataset for Defect Growth Prediction of Pipelines Using Conditional Tabular Generative Adversarial Networks
Haonan Ma, Mengying Geng, Fan Wang, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1142-1142
Open Access | Times Cited: 6
Prediction of the operational performance of a vehicle seat thermal management system using statistical and machine learning techniques
Ahmed Ghareeb, Ali Hussein Abdulkarim, A. S. Salman, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104626-104626
Open Access | Times Cited: 6
Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses
Fernando Moncada Martins, Víctor M. González, José R. Villar, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2312-2312
Open Access | Times Cited: 15
TimeGAN based distributionally robust optimization for biomass-photovoltaic-hydrogen scheduling under source-load-market uncertainties
Yuwei Wang, Minghao Song, Mengyao Jia, et al.
Energy (2023) Vol. 284, pp. 128589-128589
Closed Access | Times Cited: 14
Development of a Machine Learning (ML)-Based Computational Model to Estimate the Engineering Properties of Portland Cement Concrete (PCC)
Rodrigo Polo-Mendoza, Gilberto Martínez-Arguelles, Rita Peñabaena‐Niebles, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 10, pp. 14351-14365
Open Access | Times Cited: 5
Market-Level Integrated Detection Against Cyber Attacks in Real-Time Market Operations by Self-Supervised Learning
Zhongjian Zhang, Shengrong Bu, Yanru Zhang, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 4, pp. 4128-4142
Closed Access | Times Cited: 4
Data Augmentation for Data-Driven Methods in Power System Operation: A Novel Framework Using Improved GAN and Transfer Learning
Jian Lan, Yanzhen Zhou, Qinglai Guo, et al.
IEEE Transactions on Power Systems (2024) Vol. 39, Iss. 5, pp. 6399-6411
Closed Access | Times Cited: 4
Electricity GANs: Generative Adversarial Networks for Electricity Price Scenario Generation
Bilgi Yilmaz, Christian Laudagé, Ralf Korn, et al.
Commodities (2024) Vol. 3, Iss. 3, pp. 254-280
Open Access | Times Cited: 4
Traffic estimation in work zones using a custom regression model and data augmentation
Ali Hassandokht Mashhadi, Abbas Rashidi, Masoud Hamedi, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach
Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316548-e0316548
Open Access
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