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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:

The potential of deep learning to reduce complexity in energy system modeling
Clara Sophie Köhnen, Jan Priesmann, Lars Nolting, et al.
International Journal of Energy Research (2021) Vol. 46, Iss. 4, pp. 4550-4571
Open Access | Times Cited: 10

Showing 10 citing articles:

Artificial intelligence and design of experiments for resource adequacy assessment in power systems
Jan Priesmann, J. C. Munch, Marius Tillmanns, et al.
Energy Strategy Reviews (2024) Vol. 53, pp. 101368-101368
Open Access | Times Cited: 1
Metaheuristics‐optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells
Jui‐Sheng Chou, Tsung‐Chi Cheng, Chi‐Yun Liu, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 21001-21027
Open Access | Times Cited: 7
Urban-Rural Cooperation for an Economy with 100% Renewable Energy and Climate Protection towards 2030 - the Region Berlin-Brandenburg
Thure Traber, Hans-Josef Fell, Christian Breyer
International Journal of Sustainable Energy Planning and Management (2023) Vol. 37, pp. 21-40
Open Access | Times Cited: 4
Exploring Grassroots Renewable Energy Transitions: Developing a Community-Scale Energy Model
Lia Codrington, Ehsan Haghi, Kwang Moo Yi, et al.
Transdisciplinary Journal of Engineering & Science (2022) Vol. 13
Open Access | Times Cited: 5
Enhancing Survey Efficiency and Predictive Ability in Energy System Design through Machine Learning: A Workflow-Based Approach for Improved Outcomes
Andrew Chapman
Energies (2023) Vol. 16, Iss. 13, pp. 4911-4911
Open Access | Times Cited: 2
Accelerating Energy-Economic Simulation Models via Machine Learning-Based Emulation and Time Series Aggregation
Alexander Bogensperger, Yann Fabel, Joachim Ferstl
Energies (2022) Vol. 15, Iss. 3, pp. 1239-1239
Open Access | Times Cited: 3
Accelerating the Performance of Large-Scale TIMES Models in the Modelling of Sustainable Development Goals
Evangelos Panos, Aymane Hassan
Lecture notes in energy (2024), pp. 67-95
Open Access
A review on the applicability of machine learning techniques to the metamodeling of energy systems
Allan R. Starke, Alexandre K. da Silva
Numerical Heat Transfer Part B Fundamentals (2023), pp. 1-30
Closed Access | Times Cited: 1
Mathematical Mapping Study of Synthetic Antioxidants Behavior in Biodiesel: Application of the Self-Organized Feature Map (SOFM) and Multilayer Perceptron (MLP)
Marco Clemente, Heloisa Silva, Julia Campos, et al.
Journal of the Brazilian Chemical Society (2022)
Open Access | Times Cited: 1
Optimization-Based Energy System Planning Under Long-Term Uncertainty: Rapid Monte Carlo Analysis Using Linear Regression
Hagen Seele, Jan Tautorus, Christiane Reinert, et al.
34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021) (2023), pp. 2480-2490
Open Access
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