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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 1-25 of 44 citing articles:

Automated data processing and feature engineering for deep learning and big data applications: A survey
Alhassan Mumuni, Fuseini Mumuni
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 31
Time Series Forecasting Utilizing Automated Machine Learning (AutoML): A Comparative Analysis Study on Diverse Datasets
George Westergaard, Utku Erden, Omar Abdallah Mateo, et al.
Information (2024) Vol. 15, Iss. 1, pp. 39-39
Open Access | Times Cited: 18
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
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36
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
Auto-sktime: Automated Time Series Forecasting
Marc-André Zöller, Marius Lindauer, Marco F. Huber
Lecture notes in computer science (2025), pp. 456-471
Closed Access
DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting
Giulia Rinaldi, Konstantinos Theodorakos, Fernando Crema Garcia, et al.
Expert Systems with Applications (2025), pp. 126421-126421
Open Access
Leveraging AI for Accurate Time Series Forecasting
Asif Ehsan
International Journal for Global Academic & Scientific Research (2025) Vol. 3, Iss. 4, pp. 51-61
Closed Access
A review of recent hybridized machine learning methodologies for time series forecasting on water-related variables
Van Kwan Zhi Koh, Ye Li, Xing Yong Kek, et al.
Journal of Hydrology (2025), pp. 132909-132909
Closed Access
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.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 1, pp. 384-416
Open Access | Times Cited: 4
Efficient Automated Deep Learning for Time Series Forecasting
Difan Deng, Florian Karl, Frank Hutter, et al.
Lecture notes in computer science (2023), pp. 664-680
Open Access | Times Cited: 11
AutoML Applied to Time Series Analysis Tasks in Production Engineering
Felix Conrad, Mauritz Mälzer, Felix Lange, et al.
Procedia Computer Science (2024) Vol. 232, pp. 849-860
Open Access | Times Cited: 3
Multi-Parameter Prediction of Solar Greenhouse Environment Based on Multi-Source Data Fusion and Deep Learning
Ming Yuan, Zilin Zhang, Gangao Li, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1245-1245
Open Access | Times Cited: 3
Impact of forecasted heat demand on day-ahead optimal scheduling and real time control of multi-energy systems
Malte Stienecker
Energy (2024) Vol. 297, pp. 131156-131156
Open Access | Times Cited: 2
Automated machine learning driven model for predicting platform supply vessel freight market
Fabian Kjeldsberg, Ziaul Haque Munim
Computers & Industrial Engineering (2024) Vol. 191, pp. 110153-110153
Open Access | Times Cited: 2
Enhancing Long-Term Cloud Workload Forecasting Framework: Anomaly Handling and Ensemble Learning in Multivariate Time Series
Yeongmin Kim, Seunghwan Song, Byoung-Mo Koo, et al.
IEEE Transactions on Cloud Computing (2024) Vol. 12, Iss. 2, pp. 789-799
Closed Access | Times Cited: 2
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, et al.
(2023), pp. 386-414
Open Access | Times Cited: 6
TCNformer Model for Photovoltaic Power Prediction
Shipeng Liu, Dejun Ning, Jue Ma
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2593-2593
Open Access | Times Cited: 5
Prediction Intervals: A Geometric View
Evgeny Nikulchev, Alexander Chervyakov
Symmetry (2023) Vol. 15, Iss. 4, pp. 781-781
Open Access | Times Cited: 4
Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting
Ying Su, Morgan C. Wang, Shuai Liu
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3529-3549
Open Access | Times Cited: 1
The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review
Manuel Muth, Michael Lingenfelder, Gerd Nufer
Management Review Quarterly (2024)
Open Access | Times Cited: 1
An introduction to data-driven modelling of the Water-Energy-Food-Ecosystem nexus
Elise Jonsson, Andrijana Todorović, Małgorzata Blicharska, et al.
Environmental Modelling & Software (2024) Vol. 181, pp. 106182-106182
Open Access | Times Cited: 1
ForeTiS: A comprehensive time series forecasting framework in Python
Josef Eiglsperger, Florian Haselbeck, Dominik G. Grimm
Machine Learning with Applications (2023) Vol. 12, pp. 100467-100467
Open Access | Times Cited: 3
Development and metrological characterization of cement-based elements with self-sensing capabilities for structural health monitoring purposes
Gloria Cosoli, Alessandra Mobili, Elisa Blasi, et al.
ACTA IMEKO (2023) Vol. 12, Iss. 2, pp. 1-12
Open Access | Times Cited: 3
A monitoring platform for the built environment: towards the development of an early warning system in a seismic context
Adriano Mancini, Gloria Cosoli, Alessandro Galdelli, et al.
(2023)
Closed Access | Times Cited: 3
Leveraging Anomaly Detection and AutoML for Modelling Residential Measurement Power Traces
Grigore Stâmâtescu, Radu Plămănescu, Mihaela Albu
(2023), pp. 1-5
Closed Access | Times Cited: 2
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