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:

Advanced statistical and machine learning methods for multi-step multivariate time series forecasting in predictive maintenance
Valentina Tessoni, Michele Amoretti
Procedia Computer Science (2022) Vol. 200, pp. 748-757
Open Access | Times Cited: 16

Showing 16 citing articles:

A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
Laura Melgar-García, David Gutiérrez‐Avilés, Cristina Rubio-Escudero, et al.
Information Fusion (2023) Vol. 95, pp. 163-173
Open Access | Times Cited: 30

A Hybrid Neural Network‐Based Improved PSO Algorithm for Gas Turbine Emissions Prediction
Samar Taha Yousif, Firas Basim Ismail, Ammar Al‐Bazi
Advanced Theory and Simulations (2024) Vol. 7, Iss. 9
Closed Access | Times Cited: 3

Multi-Step-Ahead Electricity Price Forecasting Based on Temporal Graph Convolutional Network
Haokun Su, Xiangang Peng, Hanyu Liu, et al.
Mathematics (2022) Vol. 10, Iss. 14, pp. 2366-2366
Open Access | Times Cited: 13

The Change in Maintenance Strategy on the Efficiency and Quality of the Production System
Miroslav Rakyta, Peter Bubeník, Vladimíra Biňasová, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3449-3449
Open Access | Times Cited: 2

Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance
Tyler Ward, Kouroush Jenab, Jorge Ortega-Moody, et al.
International Journal of Prognostics and Health Management (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 1

Hybrid Particle Swarm Optimization and Feedforward Neural Network Model for Enhanced Prediction of Gas Turbine Emissions
Ahmed Awad, Tanya Shakir Jarad
International Journal of Energy Production and Management (2024) Vol. 9, Iss. 2, pp. 97-105
Open Access | Times Cited: 1

Predicting Machine Failure Using Machine Learning and Deep Learning Algorithms
Devendra K. Yadav, Aditya Kaushik, Nidhi Yadav
Sustainable Manufacturing and Service Economics (2024), pp. 100029-100029
Open Access | Times Cited: 1

Forecasting the architecture billings index (ABI) using machine learning predictive models
Sooin Kim, Atefe Makhmalbaf, Mohsen Shahandashti
Engineering Construction & Architectural Management (2024)
Closed Access | Times Cited: 1

Leveraging Classical Statistical Methods for Sustainable Maintenance in Automotive Assembly Equipment
Juan Bucay-Valdiviezo, Pedro Escudero‐Villa, Jenny Paredes-Fierro, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15604-15604
Open Access | Times Cited: 4

Parameter prediction of oilfield gathering station reservoir based on feature selection and long short-term memory network
Wende Tian, Qu Jian, Bin Liu, et al.
Measurement (2022) Vol. 206, pp. 112317-112317
Closed Access | Times Cited: 4

Predict the priority of end-users’ maintenance requests and the required technical staff through LSTM and Bi-LSTM recurrent neural networks
Marco D’Orazio, Gabriele Bernardini, Elisa Di Giuseppe
Facilities (2023) Vol. 41, Iss. 15/16, pp. 38-51
Open Access | Times Cited: 2

Multivariate Time Series Information Bottleneck
Denis Ullmann, Olga Taran, Slava Voloshynovskiy
Entropy (2023) Vol. 25, Iss. 5, pp. 831-831
Open Access | Times Cited: 2

A Comparative Analysis of Time Series Prediction Techniques a Systematic Literature Review (SLR)
Sawssen Briki, Nesrine Khabou, Ismael Bouassida Rodriguez
Lecture notes in computer science (2023), pp. 3-14
Closed Access

Evaluating LSTM and GRU Models for Cryptocurrency Price Forecasting in Financial Markets
Isha Mehra, Manoj Kumar Tyagi, Shilpa Kanthalia, et al.
(2023), pp. 425-431
Closed Access

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