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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 new taxonomy for vector exponential smoothing and its application to seasonal time series
Ivan Svetunkov, Huijing Chen, John E. Boylan
European Journal of Operational Research (2022) Vol. 304, Iss. 3, pp. 964-980
Open Access | Times Cited: 19

Showing 19 citing articles:

Forecasting seasonal demand for retail: A Fourier time-varying grey model
Lili Ye, Naiming Xie, John E. Boylan, et al.
International Journal of Forecasting (2024) Vol. 40, Iss. 4, pp. 1467-1485
Closed Access | Times Cited: 19
Data-driven time-varying discrete grey model for demand forecasting
Lili Ye, Naiming Xie, Zhongju Shang, et al.
Journal of the Operational Research Society (2025), pp. 1-17
Closed Access
Using the TSA-LSTM two-stage model to predict cancer incidence and mortality
Rabnawaz Khan, Jie Wang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317148-e0317148
Open Access
Prediction of container throughput at Thailand’s major ports with error correction and parameter selection techniques emphasizes optimal smoothing period
Thoranin Sujjaviriyasup
Maritime Business Review (2025)
Open Access
PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning
Yamei Chen, Jianzhou Wang, Runze Li, et al.
Journal of Environmental Sciences (2024)
Closed Access | Times Cited: 3
Modeling volatility and dependence of European carbon and energy prices
Jonathan Berrisch, Sven Pappert, Florian Ziel, et al.
Finance research letters (2022) Vol. 52, pp. 103503-103503
Open Access | Times Cited: 13
iETS: State space model for intermittent demand forecasting
Ivan Svetunkov, John E. Boylan
International Journal of Production Economics (2023) Vol. 265, pp. 109013-109013
Open Access | Times Cited: 6
Two novel nonlinear multivariate grey models with kernel learning for small-sample time series prediction
Lan Wang, Nan Li, Ming Xie, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 9, pp. 8571-8590
Open Access | Times Cited: 5
Prediction of annual rice imports emphasizes on systematic error reduction with smoothing series and optimal parameter selection techniques
Thoranin Sujjaviriyasup
Neural Computing and Applications (2024) Vol. 36, Iss. 19, pp. 11275-11295
Closed Access | Times Cited: 1
Forecasting occurrence of palm weevil Rhynchophorus palmarum L. (Coleoptera, Curculionidae) using Autoregressive Integrated Moving Average modeling
Eduardo L. Pacheco-Sánchez, Lenin A. Guamani-Quimis, Cinara Ewerling da Rosa, et al.
Scientia Agropecuaria (2023) Vol. 14, Iss. 2, pp. 171-178
Open Access | Times Cited: 3
Spatial Meteorological, Socio-Economic, and Political Risks in Probabilistic Electricity Demand Forecasting
Monika Zimmermann, Florian Ziel
(2024)
Closed Access
Time Series Forecasting Techniques for Climate Trend Prediction
Rufai Yusuf Zakari, Zaharaddeen Karami Lawal, Kassim Kalinaki, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 282-310
Closed Access
A Hybrid Deep Learning Based Deep Prophet Memory Neural Network Approach for Seasonal Items Demand Forecasting
Sarva Man­gala Praveena, Prasanna Devi S
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 6, pp. 735-747
Open Access
Simple Complex Linear Regression
Sergey Svetunkov, Ivan Svetunkov
Contributions to economics (2024), pp. 31-48
Closed Access
Assumptions of Complex Linear Models
Sergey Svetunkov, Ivan Svetunkov
Contributions to economics (2024), pp. 79-113
Closed Access
A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data
Huosong Xia, Xiaoyu Hou, Zuopeng Zhang, et al.
Journal of Forecasting (2024) Vol. 44, Iss. 1, pp. 112-135
Open Access
A Preliminary Study of the Stressed and Drowsy Driving Prediction Models using Semi-Supervised Learning
Kwok Tai Chui, Jiaqi Liu, Kevin Hung, et al.
(2024), pp. 28-35
Closed Access
Exploring Multiple Classification Systems for Online Time Series Anomaly Detection
Inmaculada Santamaria-Valenzuela, Víctor Rodríguez-Fernández, David Camacho
(2023), pp. 1-6
Closed Access
A Combined Approach of Systematic Error Reduction with Smoothing Series and Optimal Parameter Selection Techniques for Prediction of Annual Rice Imports
Thoranin Sujjaviriyasup
SSRN Electronic Journal (2022)
Closed Access
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