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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:

Multi-step forecasting for big data time series based on ensemble learning
A. Galicia, R. Talavera-Llames, Alicia Troncoso, et al.
Knowledge-Based Systems (2018) Vol. 163, pp. 830-841
Closed Access | Times Cited: 204

Showing 1-25 of 204 citing articles:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 545
Deep Learning for Time Series Forecasting: A Survey
J. F. Torres, Dalil Hadjout, Abderrazak Sebaa, et al.
Big Data (2020) Vol. 9, Iss. 1, pp. 3-21
Closed Access | Times Cited: 504
A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2022) Vol. 10, pp. 99129-99149
Open Access | Times Cited: 455
Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities
Marijana Zekić–Sušac, Saša Mitrović, Adela Has
International Journal of Information Management (2020) Vol. 58, pp. 102074-102074
Open Access | Times Cited: 208
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 184
A stacking-based ensemble learning method for earthquake casualty prediction
Shaoze Cui, Yunqiang Yin, Dujuan Wang, et al.
Applied Soft Computing (2020) Vol. 101, pp. 107038-107038
Closed Access | Times Cited: 167
Long Short-Term Memory Network-Based Metaheuristic for Effective Electric Energy Consumption Prediction
Simran Kaur Hora, P Rachana, Rocío Pérez de Prado, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11263-11263
Open Access | Times Cited: 136
Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review
Ruyue Xin, Jingye Wang, Peng Chen, et al.
ACM Computing Surveys (2025) Vol. 57, Iss. 5, pp. 1-37
Open Access | Times Cited: 1
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
Gabriel Trierweiler Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
Engineering Applications of Artificial Intelligence (2019) Vol. 82, pp. 272-281
Closed Access | Times Cited: 130
An Ensemble based Machine Learning model for Diabetic Retinopathy Classification
Thippa Reddy Gadekallu, Sweta Bhattacharya, Sthanunathan Ramakrishnan, et al.
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (2020), pp. 1-6
Closed Access | Times Cited: 127
A novel composite electricity demand forecasting framework by data processing and optimized support vector machine
Ping Jiang, Ranran Li, Ningning Liu, et al.
Applied Energy (2020) Vol. 260, pp. 114243-114243
Closed Access | Times Cited: 114
A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings
Federico Divina, Miguel García-Torres, Francisco Gómez-Vela, et al.
Energies (2019) Vol. 12, Iss. 10, pp. 1934-1934
Open Access | Times Cited: 102
Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles
Naifeng Gan, Zhenyu Sun, Zhaosheng Zhang, et al.
IEEE Transactions on Power Electronics (2021) Vol. 37, Iss. 4, pp. 4575-4588
Open Access | Times Cited: 100
Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting
Max Olinto Moreira, Pedro Paulo Balestrassi, Anderson Paulo de Paiva, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 135, pp. 110450-110450
Closed Access | Times Cited: 87
Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods
Mutaz AlShafeey, Csaba Csáki
Energy Reports (2021) Vol. 7, pp. 7601-7614
Open Access | Times Cited: 76
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
Francisco Martínez–Álvarez, Gualberto Asencio-Cortés, J. F. Torres, et al.
Big Data (2020) Vol. 8, Iss. 4, pp. 308-322
Open Access | Times Cited: 73
Predicting energy cost of public buildings by artificial neural networks, CART, and random forest
Marijana Zekić–Sušac, Adela Has, Marinela Knežević
Neurocomputing (2021) Vol. 439, pp. 223-233
Closed Access | Times Cited: 71
Explainable boosted linear regression for time series forecasting
Igor Ilic, Berk Görgülü, Mücahit Çevik, et al.
Pattern Recognition (2021) Vol. 120, pp. 108144-108144
Open Access | Times Cited: 58
A New Random Forest Algorithm Based on Learning Automata
Mohammad Savargiv, Behrooz Masoumi, Mohammad Reza Keyvanpour
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 57
Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods
Stéfano Frizzo Stefenon, Rafael Bruns, Andreza Sartori, et al.
IEEE Access (2022) Vol. 10, pp. 33980-33991
Open Access | Times Cited: 49
Structure Optimization of Ensemble Learning Methods and Seasonal Decomposition Approaches to Energy Price Forecasting in Latin America: A Case Study about Mexico
Anne Carolina Rodrigues Klaar, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3184-3184
Open Access | Times Cited: 34
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
M. J. Jiménez-Navarro, M. Martínez-Ballesteros, Isabel Sofía Brito, et al.
(2023)
Open Access | Times Cited: 34
Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework
Ruyue Xin, Hongyun Liu, Peng Chen, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 25
A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks
Xingyu Wang, Hui Liu, Junzhao Du, et al.
Applied Soft Computing (2023) Vol. 139, pp. 110214-110214
Closed Access | Times Cited: 25
IMPACT ASSESSMENT OF MACHINE LEARNING ALGORITHMS ON RESOURCE EFFICIENCY AND MANAGEMENT IN URBAN DEVELOPMENTS
Md Arif Hossain, Md Samiul Alam Mazumder, M. Bari, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 1-9
Open Access | Times Cited: 9
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