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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:

Predicting/hypothesizing the findings of the M5 competition
Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1337-1345
Closed Access | Times Cited: 13

Showing 13 citing articles:

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
Cristian Challú, Kin G. Olivares, Boris N. Oreshkin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 6989-6997
Open Access | Times Cited: 211
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
Temporal Saliency Detection Towards Explainable Transformer-Based Timeseries Forecasting
Nghia Duong‐Trung, Duc-Manh Nguyen, Danh Le-Phuoc
Communications in computer and information science (2024), pp. 250-268
Closed Access | Times Cited: 5
Statistical and deep learning models for reference evapotranspiration time series forecasting: A comparison of accuracy, complexity, and data efficiency
Arman Ahmadi, André Daccache, Mojtaba Sadegh, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108424-108424
Open Access | Times Cited: 11
Hybrid Vector Autoregression Feedforward Neural Network with Genetic Algorithm Model for Forecasting Space-Time Pollution Data
Rezzy Eko Caraka, Rung-Ching Chen, Hasbi Yasin, et al.
Indonesian Journal of Science and Technology (2021) Vol. 6, Iss. 1, pp. 243-266
Open Access | Times Cited: 26
Shrinkage estimator for exponential smoothing models
Kandrika Fadhlan Pritularga, Ivan Svetunkov, Nikolaos Kourentzes
International Journal of Forecasting (2022) Vol. 39, Iss. 3, pp. 1351-1365
Open Access | Times Cited: 12
Long-term prediction of hourly indoor air temperature using machine learning
Anssi Laukkarinen, Juha Vinha
Energy and Buildings (2024), pp. 114972-114972
Open Access | Times Cited: 2
Cross-temporal forecast reconciliation at digital platforms with machine learning
Jeroen V.K. Rombouts, Marie Ternes, Ines Wilms
International Journal of Forecasting (2024) Vol. 41, Iss. 1, pp. 321-344
Open Access | Times Cited: 1
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models
G. Lambert, Bachir Hamrouche, Joseph de Vilmarest
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Amenity counts significantly improve water consumption predictions
Damian Dailisan, Marissa P. Liponhay, Christian Alis, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0265771-e0265771
Open Access | Times Cited: 3
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
Data-Driven Inventory Control For Large Product Portfolios: A Practical Application of Prescriptive Analytics
Felix N. Schmidt, Richard Pibernik
SSRN Electronic Journal (2023)
Closed Access
Rethinking Inventory Forecasting Problems in E-commerce: Exploring the effect of integrating forecasting and inventory decisions
Hernan Ceferino Vazquez, Virginia Dal Lago
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2022) Vol. 35
Open Access
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