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:

M5 accuracy competition: Results, findings, and conclusions
Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos
International Journal of Forecasting (2022) Vol. 38, Iss. 4, pp. 1346-1364
Open Access | Times Cited: 251

Showing 1-25 of 251 citing articles:

Uncertainty estimation with deep learning for rainfall–runoff modeling
Daniel Klotz, Frederik Kratzert, Martin Gauch, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 6, pp. 1673-1693
Open Access | Times Cited: 132

Forecast combinations: An over 50-year review
Xiaoqian Wang, Rob Hyndman, Feng Li, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 4, pp. 1518-1547
Open Access | Times Cited: 122

Forecast evaluation for data scientists: common pitfalls and best practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Data Mining and Knowledge Discovery (2022) Vol. 37, Iss. 2, pp. 788-832
Open Access | Times Cited: 81

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Vijay Ekambaram, Arindam Jati, Nam Nguyen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 459-469
Open Access | Times Cited: 50

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

More is better? The impact of predictor choice on the INE oil futures volatility forecasting
Tong Fu, Dasen Huang, Lingbing Feng, et al.
Energy Economics (2024) Vol. 134, pp. 107540-107540
Closed Access | Times Cited: 17

A multi-scale analysis method with multi-feature selection for house prices forecasting
Jin Shao, Lean Yu, Nengmin Zeng, et al.
Applied Soft Computing (2025), pp. 112779-112779
Closed Access | Times Cited: 2

Measuring time series heterogeneity for global learning
B. Sonnleitner
Expert Systems with Applications (2025), pp. 125666-125666
Closed Access | Times Cited: 1

The M5 uncertainty competition: Results, findings and conclusions
Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1365-1385
Open Access | Times Cited: 70

A Comprehensive Study of Random Forest for Short-Term Load Forecasting
Grzegorz Dudek
Energies (2022) Vol. 15, Iss. 20, pp. 7547-7547
Open Access | Times Cited: 56

Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
Warren Freeborough, Terence L. van Zyl
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1427-1427
Open Access | Times Cited: 39

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation
Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, et al.
IEEE Access (2023) Vol. 11, pp. 6018-6044
Open Access | Times Cited: 35

Large Language Models: Their Success and Impact
Spyros Makridakis, Fotios Petropoulos, Yanfei Kang
Forecasting (2023) Vol. 5, Iss. 3, pp. 536-549
Open Access | Times Cited: 35

Climate change attention and carbon futures return prediction
Xu Gong, Mengjie Li, Keqin Guan, et al.
Journal of Futures Markets (2023) Vol. 43, Iss. 9, pp. 1261-1288
Closed Access | Times Cited: 25

Time series and regression methods for univariate environmental forecasting: An empirical evaluation
Dimitrios Effrosynidis, Evangelos Spiliotis, Georgios Sylaios, et al.
The Science of The Total Environment (2023) Vol. 875, pp. 162580-162580
Open Access | Times Cited: 23

Time series big data: a survey on data stream frameworks, analysis and algorithms
Ana Almeida, Susana Brás, Susana Sargento, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 23

A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems
Marcos Leandro Hoffmann Souza, Cristiano André da Costa, Gabriel de Oliveira Ramos
Computers in Industry (2023) Vol. 148, pp. 103903-103903
Closed Access | Times Cited: 21

Hierarchical forecast reconciliation with machine learning
Evangelos Spiliotis, Mahdi Abolghasemi, Rob Hyndman, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107756-107756
Open Access | Times Cited: 46

Forecasting flexibility of charging of electric vehicles: Tree and cluster-based methods
Evgenii Genov, Cedric De Cauwer, Gilles Van Kriekinge, et al.
Applied Energy (2023) Vol. 353, pp. 121969-121969
Open Access | Times Cited: 20

Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models
Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2749-2749
Open Access | Times Cited: 17

Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM2.5 Level
Tafia Hasna Putri, Rezzy Eko Caraka, Toni Toharudin, et al.
IEEE Access (2024) Vol. 12, pp. 28988-29003
Open Access | Times Cited: 6

Comparing modern and traditional modeling methods for predicting soil moisture in IoT-based irrigation systems
Gilliard Custódio, Ronaldo C. Prati
Smart Agricultural Technology (2024) Vol. 7, pp. 100397-100397
Open Access | Times Cited: 5

Exploring the dynamic symbiosis of urban mobility and 5G networks
Ana Almeida, Pedro Rito, Susana Brás, et al.
Computer Networks (2025), pp. 111024-111024
Closed Access

Recurrences Reveal Shared Causal Drivers of Complex Time Series
William Gilpin
Physical Review X (2025) Vol. 15, Iss. 1
Open Access

Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data
Jalmari Nevanlinna, Anna Eidstø, Jari Ylä-Mattila, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Open Access

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