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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:

Exploring the representativeness of the M5 competition data
Evangelos Theodorou, Shengjie Wang, Yanfei Kang, et al.
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1500-1506
Open Access | Times Cited: 17

Showing 17 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
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
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
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
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
Combining probabilistic forecasts of intermittent demand
Shengjie Wang, Yanfei Kang, Fotios Petropoulos
European Journal of Operational Research (2024) Vol. 315, Iss. 3, pp. 1038-1048
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
Feature-based intermittent demand forecast combinations: accuracy and inventory implications
Li Li, Yanfei Kang, Fotios Petropoulos, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 22, pp. 7557-7572
Closed Access | Times Cited: 10
Forecasting Large Collections of Time Series: Feature-Based Methods
Li Li, Feng Li, Yanfei Kang
Palgrave advances in the economics of innovation and technology (2023), pp. 251-276
Closed Access | Times Cited: 2
Automatic classification of hyperkinetic, tonic, and tonic-clonic seizures using unsupervised clustering of video signals
Petri Ojanen, Csaba Kertész, Elizabeth Morales Salinas, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 2
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
Evolving Hybrid Generalized Space-Time Autoregressive Forecasting with Cascade Neural Network Particle Swarm Optimization
Toni Toharudin, Rezzy Eko Caraka, Hasbi Yasin, et al.
Atmosphere (2022) Vol. 13, Iss. 6, pp. 875-875
Open Access | Times Cited: 3
Albatross analytics a hands-on into practice: statistical and data science application
Rezzy Eko Caraka, Youngjo Lee, Jeongseop Han, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 2
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
Conditional Temporal Aggregation for Time Series Forecasting Using Feature-Based Meta-Learning
Anastasios Kaltsounis, Evangelos Spiliotis, Vassilios Assimakopoulos
Algorithms (2023) Vol. 16, Iss. 4, pp. 206-206
Open Access
A two-phased cluster-based approach towards ranked forecast-model selection
Reinard C. Ganzevoort, Jan H. van Vuuren
Machine Learning with Applications (2023) Vol. 13, pp. 100482-100482
Open Access
SUGAR DEMAND FORECASTING IN PT XYZ WITH WINQSB SOFTWARE
Astrid Wahyu Adventri Wibowo, Fitri Maimunah
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2023) Vol. 17, Iss. 3, pp. 1631-1640
Open Access
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