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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:

Hierarchical forecast reconciliation with machine learning
Evangelos Spiliotis, Mahdi Abolghasemi, Rob Hyndman, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107756-107756
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A TCN-Based Hybrid Forecasting Framework for Hours-Ahead Utility-Scale PV Forecasting
Yiyan Li, Lidong Song, Si Zhang, et al.
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 5, pp. 4073-4085
Open Access | Times Cited: 45
A machine learning approach for forecasting hierarchical time series
Paolo Mancuso, Veronica Piccialli, Antonio M. Sudoso
Expert Systems with Applications (2021) Vol. 182, pp. 115102-115102
Open Access | Times Cited: 51
Forecast reconciliation: A review
George Athanasopoulos, Rob Hyndman, Nikolaos Kourentzes, et al.
International Journal of Forecasting (2023) Vol. 40, Iss. 2, pp. 430-456
Open Access | Times Cited: 17
Demand forecasting in supply chains: a review of aggregation and hierarchical approaches
M. Zied Babai, John E. Boylan, Bahman Rostami-Tabar
International Journal of Production Research (2021) Vol. 60, Iss. 1, pp. 324-348
Open Access | Times Cited: 39
A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management
Sajjad Taghiyeh, David C Lengacher, Amir Hossein Sadeghi, et al.
Supply Chain Analytics (2023) Vol. 3, pp. 100032-100032
Open Access | Times Cited: 14
Global and Local Approaches for Forecasting of Long-Term Natural Gas Consumption in Poland Based on Hierarchical Short Time Series
Bartłomiej Gaweł, Andrzej Paliński
Energies (2024) Vol. 17, Iss. 2, pp. 347-347
Open Access | Times Cited: 4
Forecasting hierarchical time series in supply chains: an empirical investigation
Dejan Mirčetić, Bahman Rostami-Tabar, Svetlana Nikoličić, et al.
International Journal of Production Research (2021) Vol. 60, Iss. 8, pp. 2514-2533
Open Access | Times Cited: 29
Deep LSTM-Based Transfer Learning Approach for Coherent Forecasts in Hierarchical Time Series
Alaa Sagheer, Hala Hamdoun, Hassan Youness
Sensors (2021) Vol. 21, Iss. 13, pp. 4379-4379
Open Access | Times Cited: 25
Simple averaging of direct and recursive forecasts via partial pooling using machine learning
YeonJun In, Jae‐Yoon Jung
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1386-1399
Closed Access | Times Cited: 23
Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions
Mahdi Abolghasemi, Garth Tarr, Christoph Bergmeir
International Journal of Forecasting (2022) Vol. 40, Iss. 2, pp. 597-615
Closed Access | Times Cited: 14
Model selection in reconciling hierarchical time series
Mahdi Abolghasemi, Rob Hyndman, Evangelos Spiliotis, et al.
Machine Learning (2022) Vol. 111, Iss. 2, pp. 739-789
Open Access | Times Cited: 13
Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations
Kamal Sanguri, Sonali Shankar, Sushil Punia, et al.
Computers & Industrial Engineering (2022) Vol. 173, pp. 108651-108651
Closed Access | Times Cited: 11
Disaggregating sales prediction: A gravitational approach
Carla Freitas Silveira Netto, Mohsen Bahrami, Vinícius Andrade Brei, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119565-119565
Open Access | Times Cited: 6
Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives
Tommaso Di Fonzo, Daniele Girolimetto
International Journal of Forecasting (2021) Vol. 39, Iss. 1, pp. 39-57
Open Access | Times Cited: 15
Convergent Fuzzy Cognitive Modelling of Regional Youth Policy Strategy
Alеxander Raikov
Lecture notes in networks and systems (2023), pp. 911-921
Closed Access | Times Cited: 5
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
An Ensemble Approach to Short-Term Wind Speed Predictions Using Stochastic Methods, Wavelets and Gradient Boosting Decision Trees
Khathutshelo Steven Sivhugwana, Edmore Ranganai
Wind (2024) Vol. 4, Iss. 1, pp. 44-67
Open Access | Times Cited: 1
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
Cross-Temporal Hierarchical Forecast Reconciliation of Natural Gas Demand
Colin O. Quinn, George F. Corliss, Richard J. Povinelli
Energies (2024) Vol. 17, Iss. 13, pp. 3077-3077
Open Access | Times Cited: 1
Forecasting mail flow: A hierarchical approach for enhanced societal wellbeing
Nadine Kafa, M. Zied Babai, Walid Klibi
International Journal of Forecasting (2024) Vol. 41, Iss. 1, pp. 51-65
Closed Access | Times Cited: 1
A switching based forecasting approach for forecasting sales data in supply chains
Supriyo Ahmed, Ripon K. Chakrabortty, Daryl Essam, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112419-112419
Closed Access | Times Cited: 1
IoT and Deep Learning-Based Farmer Safety System
Yudhi Adhitya, Grathya Sri Mulyani, Mario Köppen, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2951-2951
Open Access | Times Cited: 3
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads
Julien Leprince, Henrik Madsen, Jan Kloppenborg Møller, et al.
Applied Energy (2023) Vol. 348, pp. 121510-121510
Open Access | Times Cited: 3
Forecasting with Deep Temporal Hierarchies
Filotas Theodosiou, Nikolaos Kourentzes
SSRN Electronic Journal (2021)
Open Access | Times Cited: 7
Deep learning based bi-level approach for proactive loan prospecting
Justin Munoz, Ahmad Asgharian Rezaei, Mahdi Jalili, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115607-115607
Closed Access | Times Cited: 5
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