Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 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

Showing 26-50 of 70 citing articles:

Bayesian Ensembles of Exponentially Smoothed Life-Cycle Forecasts
Xiaojia Guo, Kenneth C. Lichtendahl, Yael Grushka‐Cockayne
Manufacturing & Service Operations Management (2024)
Closed Access | Times Cited: 1
Retail store-SKU level replenishment planning with attribute-space graph recurrent neural networks
Shaohui Ma
Expert Systems with Applications (2024) Vol. 249, pp. 123727-123727
Closed Access | Times Cited: 1
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting
Martim Sousa, Ana Maria Tomé, José E. Moreira
Neurocomputing (2024) Vol. 608, pp. 128434-128434
Open Access | Times Cited: 1
M5 competition uncertainty: Overdispersion, distributional forecasting, GAMLSS, and beyond
Florian Ziel
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1546-1554
Open Access | Times Cited: 11
Fast and Frugal Time Series Forecasting
Fotios Petropoulos, Yael Grushka‐Cockayne, Enno Siemsen, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 10
Data Analytics to Detect Panic Buying and Improve Products Distribution Amid Pandemic
Yossiri Adulyasak, Omar Benomar, Ahmed Chaouachi, et al.
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 9
Investigating the Accuracy of Autoregressive Recurrent Networks Using Hierarchical Aggregation Structure-Based Data Partitioning
José Manuel Oliveira, Patrícia Ramos
(2023)
Open Access | Times Cited: 3
ASA 2022 Data-Driven Decision Making

Proceedings e report (2023)
Open Access | Times Cited: 3
bayesRecon: Probabilistic Reconciliation via Conditioning
Dario Azzimonti, Nicolò Rubattu, Lorenzo Zambon, et al.
(2023)
Closed Access | Times Cited: 3
Exploring the social influence of the Kaggle virtual community on the M5 competition
Xixi Li, Yun Bai, Yanfei Kang
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1507-1518
Open Access | Times Cited: 7
A solution for M5 Forecasting - Uncertainty: Hybrid gradient boosting and autoregressive recurrent neural network for quantile estimation
Ernest Chiew, Shin Siang Choong
International Journal of Forecasting (2022) Vol. 38, Iss. 4, pp. 1442-1447
Closed Access | Times Cited: 5
A review of probabilistic forecasting and prediction with machine learning
Hristos Tyralis, Georgia Papacharalampous
arXiv (Cornell University) (2022)
Open Access | Times Cited: 5
Retail Time Series Forecasting Using An Automated Deep Meta-Learning Framework
Mohammad Joshaghani, Sasan Barak, Amirabbas Asadi, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2
Development and evaluation of probabilistic forecasting methods for small area populations
Irina Grossman, Kasun Bandara, Tom Wilson, et al.
Environment and Planning B Urban Analytics and City Science (2023) Vol. 51, Iss. 2, pp. 366-383
Open Access | Times Cited: 2
Forecasting currency covariances using machine learning tree-based algorithms with low and high prices
Sylwester Bejger, Piotr Fiszeder
Przegląd Statystyczny Statistical Review (2021) Vol. 68, Iss. 3, pp. 1-15
Open Access | Times Cited: 6
Evaluating quantile forecasts in the M5 uncertainty competition
Zhi Chen, Anil Gaba, Ilia Tsetlin, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 4, pp. 1531-1545
Open Access | Times Cited: 4
A white-boxed ISSM approach to estimate uncertainty distributions of Walmart sales
Rafael de Rezende, Katharina Egert, Ignacio Marı́n, et al.
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1460-1467
Open Access | Times Cited: 5
Transformer-based probabilistic demand forecasting with adaptive online learning
Jingfei Wang, Danya Xu, Yuanzheng Li, et al.
Electric Power Systems Research (2024) Vol. 240, pp. 111255-111255
Closed Access
BEAUT: An Explaina le Deep L arning Model for gent-Based Pop lations With Poor Da a
Andrew Fisher, Bart Gajderowicz, Éric Latimer, et al.
Knowledge-Based Systems (2022) Vol. 248, pp. 108836-108836
Closed Access | Times Cited: 3
Bayesian Ensembles of Exponentially Smoothed Life-Cycle Forecasts
Xiaojia Guo, Kenneth C. Lichtendahl, Yael Grushka‐Cockayne
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 3
Beyond point forecasts: Uncertainty quantification in tensor extrapolation for relational time series data
Josef Schosser
Communications in Statistics Case Studies Data Analysis and Applications (2024) Vol. 10, Iss. 2, pp. 107-124
Open Access
Prediction of silicon content of alloy in ferrochrome smelting using data-driven models
Alexey Vladimirovich Cherkaev, M.W. Erwee, Quinn Reynolds, et al.
Journal of the Southern African Institute of Mining and Metallurgy (2024) Vol. 124, Iss. 2, pp. 67-74
Open Access
Data-driven inventory control for large product portfolios: A practical application of prescriptive analytics
Felix N. Schmidt, Richard Pibernik
European Journal of Operational Research (2024) Vol. 322, Iss. 1, pp. 254-269
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
Scalable probabilistic forecasting in retail with gradient boosted trees: A practitioner’s approach
Xueying Long, Quang Diep Bui, Grady Oktavian, et al.
International Journal of Production Economics (2024) Vol. 279, pp. 109449-109449
Open Access

Scroll to top