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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:

Forecast evaluation for data scientists: common pitfalls and best practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Data Mining and Knowledge Discovery (2022) Vol. 37, Iss. 2, pp. 788-832
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Comparing Long Short-Term Memory (LSTM) and bidirectional LSTM deep neural networks for power consumption prediction
Davi Guimarães da Silva, Anderson Alvarenga de Moura Meneses
Energy Reports (2023) Vol. 10, pp. 3315-3334
Open Access | Times Cited: 51
Integration of CNN Models and Machine Learning Methods in Credit Score Classification: 2D Image Transformation and Feature Extraction
Yunus Emre Gür, Mesut Toğaçar, Bilal Solak
Computational Economics (2025)
Open Access | Times Cited: 1
Machine learning for numerical weather and climate modelling: a review
Catherine de Burgh-Day, Tennessee Leeuwenburg
Geoscientific model development (2023) Vol. 16, Iss. 22, pp. 6433-6477
Open Access | Times Cited: 33
Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale
Hussain Kazmi, Chun Fu, Clayton Miller
Building and Environment (2023) Vol. 239, pp. 110407-110407
Open Access | Times Cited: 28
Prediction of realized volatility and implied volatility indices using AI and machine learning: A review
Elias Søvik Gunnarsson, Håkon Ramon Isern, Aris Kaloudis, et al.
International Review of Financial Analysis (2024) Vol. 93, pp. 103221-103221
Open Access | Times Cited: 10
GRAformer: A gated residual attention transformer for multivariate time series forecasting
Chengcao Yang, Yutian Wang, Bin Yang, et al.
Neurocomputing (2024) Vol. 581, pp. 127466-127466
Closed Access | Times Cited: 7
Machine Learning for numerical weather and climate modelling: a review
Catherine de Burgh-Day, Tennessee Leeuwenburg
(2023)
Open Access | Times Cited: 19
AI-based forecasting for optimised solar energy management and smart grid efficiency
Pierre Bouquet, Ilya Jackson, Mostafa Nick, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 13, pp. 4623-4644
Open Access | Times Cited: 17
Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks
Anna M. Langener, Laura F. Bringmann, Martien J. Kas, et al.
Administration and Policy in Mental Health and Mental Health Services Research (2024) Vol. 51, Iss. 4, pp. 455-475
Open Access | Times Cited: 6
Data-Driven Weather Forecasting and Climate Modeling from the Perspective of Development
Yuting Wu, Wei Xue
Atmosphere (2024) Vol. 15, Iss. 6, pp. 689-689
Open Access | Times Cited: 6
Symbolic regression as a feature engineering method for machine and deep learning regression tasks
Assaf Shmuel, Oren Glickman, Teddy Lazebnik
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025065-025065
Open Access | Times Cited: 5
IMPLEMENTATION OF CROSS-VALIDATION ON HANG SENG INDEX FORECASTING USING HOLT’S EXPONENTIAL SMOOTHING AND AUTO-ARIMA METHOD
Christy Sheldy Sucipto, Winita Sulandari, Yuliana Susanti
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2025) Vol. 19, Iss. 1, pp. 13-24
Open Access
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, et al.
Machine Learning (2025) Vol. 114, Iss. 1
Open Access
Forecasting with Deep Learning: Beyond Average of Average of Average Performance
Vítor Cerqueira, Luís A. C. Roque, Carlos Soares
Lecture notes in computer science (2025), pp. 135-149
Closed Access
Mind the naive forecast! a rigorous evaluation of forecasting models for time series with low predictability
Niels C. Beck, Jonas Dovern, Stefanie Vogl
Applied Intelligence (2025) Vol. 55, Iss. 6
Open Access
Reducing Wind Energy Forecast Error With a Hybrid Ensemble Prediction Method
Justin Rutherford, Marguerite Nyhan, Paul Leahy
Wind Energy (2025) Vol. 28, Iss. 3
Open Access
Forecasting mental states in schizophrenia using digital phenotyping data
Thierry Jean, Rose Guay Hottin, Pierre Orban
PLOS Digital Health (2025) Vol. 4, Iss. 2, pp. e0000734-e0000734
Open Access
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”
Paolo Maranzano, Paul A. Parker
Environmetrics (2025) Vol. 36, Iss. 2
Open Access
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”
Nathaniel K. Newlands, Vyacheslav Lyubchich
Environmetrics (2025) Vol. 36, Iss. 2
Open Access
A comparative framework for evaluating machine learning models in forecasting electricity demand for port microgrids
Alexander Micallef, Maurice Apap, John Licari, et al.
Energy and AI (2025), pp. 100494-100494
Open Access
Fruit, vegetables and discretionary food intake in Australian adults: Past trends and predicted progress towards population preventive health targets for 2030
Matthew Ryan, Danielle Baird, Gilly A. Hendrie
Australian and New Zealand Journal of Public Health (2025), pp. 100223-100223
Open Access
Evaluating the Efficacy of NHITS for Forecasting Stock Realized Volatility: A Comparative Analysis with Established Models
Hugo Gobato Souto
Computational Economics (2025)
Closed Access
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
An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports
George Papageorgiou, Vangelis Sarlis, Christos Tjortjis
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 4
Individual household load forecasting using bi-directional LSTM network with time-based embedding
Khursheed Aurangzeb, Syed Irtaza Haider, Musaed Alhussein
Energy Reports (2024) Vol. 11, pp. 3963-3975
Open Access | Times Cited: 4
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