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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:

The M5 competition: Background, organization, and implementation
Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1325-1336
Open Access | Times Cited: 87

Showing 51-75 of 87 citing articles:

Robust Sales forecasting Using Deep Learning with Static and Dynamic Covariates
Patrícia Ramos, José Manuel Oliveira
Applied System Innovation (2023) Vol. 6, Iss. 5, pp. 85-85
Open Access | Times Cited: 2
Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge
Richard Bean
Energies (2023) Vol. 16, Iss. 3, pp. 1050-1050
Open Access | Times Cited: 2
Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach
Dazhou Lei, Yongzhi Qi, Sheng Liu, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Terence L. van Zyl
2022 25th International Conference on Information Fusion (FUSION) (2023), pp. 1-8
Open Access | Times Cited: 2
Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach
Dazhou Lei, Yongzhi Qi, Sheng Liu, et al.
Manufacturing & Service Operations Management (2024)
Closed Access
IISE PG&E Energy Analytics Challenge 2024: Forecasting Day-Ahead Electricity Prices
Ahmed Aziz Ezzat, Mahan A. Mansouri, Murat Yildirim, et al.
IISE Transactions (2024), pp. 1-19
Closed Access
Análisis comparativo de modelos tradicionales y modernos para pronóstico de la demanda: enfoques y características
César Ángel Fierro Torres, Velia Herminia Castillo Pérez, Claudia Irene Torres Saucedo
RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo (2022) Vol. 12, Iss. 24
Open Access | Times Cited: 3
A hybrid framework for sequential data prediction with end-to-end optimization
Mustafa E. Aydin, Süleyman S. Kozat
Digital Signal Processing (2022) Vol. 129, pp. 103687-103687
Open Access | Times Cited: 3
Intermittent Demand Forecasting Using LSTM With Single and Multiple Aggregation
Fityan Azizi, Wahyu Catur Wibowo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2022) Vol. 6, Iss. 5, pp. 855-859
Open Access | Times Cited: 3
FOZZY GROUP HACK4RETAIL COMPETITION OVERVIEW: RESULTS, FINDINGS, AND CONCLUSIONS
Олександр Косован
Market Infrastructure (2022), Iss. 67
Open Access | Times Cited: 3
Behavioral Biases in the Uncertainty Quantification Process
Victor Richmond R. Jose
International series in management science/operations research/International series in operations research & management science (2024), pp. 41-63
Closed Access
An adaptive volatility method for probabilistic forecasting and its application to the M6 financial forecasting competition
Joseph de Vilmarest, Nicklas Werge
International Journal of Forecasting (2024)
Open Access
Data‐driven inventory forecasting in periodic‐review inventory systems adjusted with a fill rate requirement
Joanna Bruzda, Babak Abbasi, Tomasz Urbańczyk
Decision Sciences (2024)
Closed Access
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms
Luís A. C. Roque, Carlos Soares, Luı́s Torgo
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2491-2499
Closed Access
Beimingwu: A Learnware Dock System
Zhihao Tan, J F Liu, Xiao-Dong Bi, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5773-5782
Open Access
Wielding Occam’s razor: Fast and frugal retail forecasting
Fotios Petropoulos, Yael Grushka‐Cockayne, Enno Siemsen, et al.
Journal of the Operational Research Society (2024), pp. 1-20
Open Access
Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models
Pál Péter Hanzelik, Alex Kummer, János Abonyi
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 4, pp. 2601-2617
Open Access
Human Vs. Machines: Who wins in semiconductor market forecasting?
Louis Steinmeister, Markus Pauly
Expert Systems with Applications (2024) Vol. 263, pp. 125719-125719
Open Access
The structural Theta method and its predictive performance in the M4-Competition
Giacomo Sbrana, Andrea Silvestrini
International Journal of Forecasting (2024)
Open Access
Investigating the Accuracy of Autoregressive Recurrent Networks Using Hierarchical Aggregation Structure-Based Data Partitioning
José Manuel Oliveira, Patrícia Ramos
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 100-100
Open Access | Times Cited: 1
Cross-Learning-Based Sales Forecasting Using Deep Learning via Partial Pooling from Multi-level Data
José Manuel Oliveira, Patrícia Ramos
Communications in computer and information science (2023), pp. 279-290
Closed Access | Times Cited: 1
The Noble Quest: Navigating Toward Sustainable Transportation
David Swanson, Yao Jin
Transportation Journal (2023) Vol. 62, Iss. 3, pp. 249-268
Closed Access | Times Cited: 1
GVFs in the real world: making predictions online for water treatment
Muhammad Kamran Janjua, Haseeb Shah, Martha White, et al.
Machine Learning (2023) Vol. 113, Iss. 8, pp. 5151-5181
Open Access | Times Cited: 1
Timing intermittent demand with time-varying order-up-to levels
Dennis Prak, Patricia Rogetzer
European Journal of Operational Research (2022) Vol. 303, Iss. 3, pp. 1126-1136
Open Access | Times Cited: 1
Responses to the discussions and commentaries of the M5 Special Issue
Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos
International Journal of Forecasting (2022) Vol. 38, Iss. 4, pp. 1569-1575
Closed Access | Times Cited: 1

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