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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 1-25 of 87 citing articles:

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
Long sequence time-series forecasting with deep learning: A survey
Zonglei Chen, Minbo Ma, Tianrui Li, et al.
Information Fusion (2023) Vol. 97, pp. 101819-101819
Closed Access | Times Cited: 99
A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks
Vaia I. Kontopoulou, Athanasios D. Panagopoulos, Iοannis Kakkos, et al.
Future Internet (2023) Vol. 15, Iss. 8, pp. 255-255
Open Access | Times Cited: 86
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
Holistic Framework for Blockchain-Based Halal Compliance in Supply Chains Enabled by Artificial Intelligence
Funlade Sunmola, George Baryannis, Albert Tan, et al.
Systems (2025) Vol. 13, Iss. 1, pp. 21-21
Open 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
Review of automated time series forecasting pipelines
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 44
Evaluating human behaviour in response to AI recommendations for judgemental forecasting
Naghmeh Khosrowabadi, Kai Hoberg, Christina Imdahl
European Journal of Operational Research (2022) Vol. 303, Iss. 3, pp. 1151-1167
Open Access | Times Cited: 41
Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm
Mostafa Farrokhabadi, Jethro Browell, Yi Wang, et al.
IEEE Open Access Journal of Power and Energy (2022) Vol. 9, pp. 185-191
Open Access | Times Cited: 33
FI-SHAP: Explanation of Time Series Forecasting and Improvement of Feature Engineering Based on Boosting Algorithm
Yuyi Zhang, Ovanes Petrosian, Jing Liu, et al.
Lecture notes in networks and systems (2022), pp. 745-758
Closed Access | Times Cited: 33
The M6 forecasting competition: Bridging the gap between forecasting and investment decisions
Spyros Makridakis, Evangelos Spiliotis, Ross Hollyman, et al.
International Journal of Forecasting (2024)
Open Access | Times Cited: 6
Hierarchical Time Series Forecasting in Emergency Medical Services
Bahman Rostami-Tabar, Rob Hyndman
Journal of Service Research (2024)
Open Access | Times Cited: 5
Forecast accuracy and inventory performance: Insights on their relationship from the M5 competition data
Evangelos Theodorou, Evangelos Spiliotis, Vassilios Assimakopoulos
European Journal of Operational Research (2025)
Closed Access
Joint Bottom-up Method for Probabilistic Forecasting of Hierarchical Time Series
Nicolò Bertani, Shane T. Jensen, Ville Satopää
Operations Research (2025)
Closed Access
Demand Forecasting of Perishable Products Using Traditional Statistical and Machine Learning Methods
Trần Minh Đức, Huynh Thien Nhan
Lecture notes in networks and systems (2025), pp. 459-470
Closed Access
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
Florian Haselbeck, Jennifer Killinger, Klaus Menrad, et al.
Machine Learning with Applications (2021) Vol. 7, pp. 100239-100239
Open Access | Times Cited: 33
The NEON Ecological Forecasting Challenge
R. Quinn Thomas, Carl Boettiger, Cayelan C. Carey, et al.
Frontiers in Ecology and the Environment (2023) Vol. 21, Iss. 3, pp. 112-113
Open Access | Times Cited: 14
Utilizing people, analytics, and AI for decision making in the digitalized retail supply chain
Rebekah Inez Brau, Nada R. Sanders, John Aloysius, et al.
Journal of Business Logistics (2023) Vol. 45, Iss. 1
Open Access | Times Cited: 13
ShapTime: A General XAI Approach for Explainable Time Series Forecasting
Yuyi Zhang, Qiushi Sun, Dongfang Qi, et al.
Lecture notes in networks and systems (2024), pp. 659-673
Closed Access | Times Cited: 4
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
Thabang Mathonsi, Terence L. van Zyl
Forecasting (2021) Vol. 4, Iss. 1, pp. 1-25
Open Access | Times Cited: 31
Complex exponential smoothing
Ivan Svetunkov, Nikolaos Kourentzes, J. Keith Ord
Naval Research Logistics (NRL) (2022) Vol. 69, Iss. 8, pp. 1108-1123
Open Access | Times Cited: 19
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
Evaluating the Effectiveness of Time Series Transformers for Demand Forecasting in Retail
José Manuel Oliveira, Patrícia Ramos
Mathematics (2024) Vol. 12, Iss. 17, pp. 2728-2728
Open Access | Times Cited: 3
Optimizing inventory control through a data-driven and model-independent framework
Evangelos Theodorou, Evangelos Spiliotis, Vassilios Assimakopoulos
EURO Journal on Transportation and Logistics (2022) Vol. 12, pp. 100103-100103
Open Access | Times Cited: 16
Models for forecasting the traffic flow within the city of Ljubljana
Gašper Petelin, Rok Hribar, Gregor Papa
European Transport Research Review (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 9
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