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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:

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

Showing 26-50 of 44 citing articles:

Identifying the validity domain of machine learning models in building energy systems
Martin Rätz, Patrick Henkel, Phillip Stoffel, et al.
Energy and AI (2023) Vol. 15, pp. 100324-100324
Open Access | Times Cited: 2
Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications
Stefan Meisenbacher, Johannes Galenzowski, Kevin Förderer, et al.
Lecture notes in computer science (2024), pp. 277-297
Closed Access
QxEAI - Automated probabilistic forecasting with Quantum-like evolutionary algorithm
Kevin Xin, Lizhi Xin
Research Square (Research Square) (2024)
Open Access
A data quality management framework for equipment failure risk estimation: Application to the oil and gas industry
Jinlong Kang, Zeina Al Masry, Christophe Varnier, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108834-108834
Closed Access
Optimizing Social Security Contributions for Spanish Self-Employed Workers: Combining Data Preprocessing and Ensemble Models for Accurate Revenue Estimation
Luís Palomero, Vicente García, J. Salvador Sánchez
(2024), pp. 5-5
Open Access
QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting
Kevin Xin, Lizhi Xin
Research Square (Research Square) (2024)
Closed Access
Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting
Daniel Arias-Garzón, Reinel Tabares-Soto, Gonzalo A. Ruz
Expert Systems with Applications (2024), pp. 125384-125384
Closed Access
A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities
Pedro José Pereira, Nuno Marques da Costa, Pedro Mestre, et al.
Lecture notes in computer science (2024), pp. 139-150
Closed Access
A survey of recent machine learning techniques for stock prediction methodologies
Vijay Kumar Vishwakarma, Narayan P. Bhosale
Neural Computing and Applications (2024)
Closed Access
Towards a New MI-Driven Methodology for Predicting the Prices of Cryptocurrencies
Cătălina Cocianu, Cristian Răzvan Uscatu
Electronics (2024) Vol. 14, Iss. 1, pp. 22-22
Open Access
Application of Deep Learning Algorithms for Predicting Consolidation Settlement
Seong‐Ho Hong, Minho Lee, Byeong-Soo Yoo, et al.
KSCE Journal of Civil Engineering (2024), pp. 100072-100072
Open Access
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, et al.
(2023), pp. 271-286
Closed Access | Times Cited: 1
Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data
Styliani I. Kampezidou, Archana Tikayat Ray, Anirudh Prabhakara Bhat, et al.
(2023)
Open Access | Times Cited: 1
A Novel Ensemble Model for Load Forecasting: Integrating Random Forest, XGBoost, and Seasonal Naive Methods
Senyao Wang, Jin Ma
(2023), pp. 114-118
Closed Access | Times Cited: 1
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications
Ahmad Daher, Enrico Ferrari, Marco Muselli, et al.
Computing (2022) Vol. 104, Iss. 11, pp. 2453-2487
Open Access | Times Cited: 1
Deep Learning-Based Multi-Horizon Forecasting for Automated Material Handling System Throughput in Semiconductor Fab
Jungwoo Choi, Hyeongwon Kang, Jeongseob Kim, et al.
IEEE Transactions on Semiconductor Manufacturing (2022) Vol. 36, Iss. 1, pp. 113-129
Closed Access | Times Cited: 1
Advanced Techniques for Business Process Automation: Insights and Challenges
Mahmoud B. M. Abdelwahab, Iman M. A. Helal
(2023) Vol. 43, pp. 303-308
Closed Access
Advanced Techniques for Business Process Automation: Insights and Challenges
Mahmoud B. M. Abdelwahab, Iman M. A. Helal
(2023) Vol. 43, pp. 303-308
Closed Access
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