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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:

Distributed Reinforcement Learning with ADMM-RL
Peter Gräf, Jennifer Annoni, Christopher J. Bay, et al.
2022 American Control Conference (ACC) (2019)
Open Access | Times Cited: 15

Showing 15 citing articles:

Federated Learning Via Inexact ADMM
Shenglong Zhou, Geoffrey Ye Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 8, pp. 9699-9708
Open Access | Times Cited: 25
Reinforcement learning in wind energy - a review
Valayapathy Lakshmi Narayanan
International Journal of Green Energy (2023) Vol. 21, Iss. 9, pp. 1945-1968
Closed Access | Times Cited: 9
A Distributed Reinforcement Learning Yaw Control Approach for Wind Farm Energy Capture Maximization
Paul Stanfel, Kathryn Johnson, Christopher J. Bay, et al.
2022 American Control Conference (ACC) (2020), pp. 4065-4070
Open Access | Times Cited: 26
Communication-Efficient ADMM-based Federated Learning
Shenglong Zhou, Geoffrey Ye Li
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15
Distributed Control Design for Heterogeneous Interconnected Systems
Yvonne R. Stürz, Annika Eichler, Roy S. Smith
IEEE Transactions on Automatic Control (2020) Vol. 66, Iss. 11, pp. 5112-5127
Open Access | Times Cited: 14
Distributed Power Optimization of Large Wind Farms Using ADMM for Real-Time Control
Zhiwei Xu, Bing Chu, Hua Geng, et al.
IEEE Transactions on Power Systems (2022) Vol. 37, Iss. 6, pp. 4832-4845
Open Access | Times Cited: 8
Model-Free Optimization Scheme for Efficiency Improvement of Wind Farm Using Decentralized Reinforcement Learning
Zhiwei Xu, Hua Geng, Bing Chu, et al.
IFAC-PapersOnLine (2020) Vol. 53, Iss. 2, pp. 12103-12108
Open Access | Times Cited: 12
Deep Reinforcement Learning for Automatic Generation Control of Wind Farms
Sanjana Vijayshankar, Paul Stanfel, Jennifer King, et al.
2022 American Control Conference (ACC) (2021), pp. 1796-1802
Closed Access | Times Cited: 11
Optimal Lighting Control in Greenhouses Equipped with High-intensity Discharge Lamps Using Reinforcement Learning
Shirin Afzali, Sahand Mosharafian, Marc W. van Iersel, et al.
2022 American Control Conference (ACC) (2021), pp. 1414-1419
Closed Access | Times Cited: 7
Automated optimal control in energy systems: the reinforcement learning approach
Xiangyu Zhang, Huaiguang Jiang
Elsevier eBooks (2020), pp. 275-318
Closed Access | Times Cited: 4
Towards fine tuning wake steering policies in the field: an imitation-based approach
Claire Bizon Monroc, Ana Bušić, David Dubuc, et al.
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 3, pp. 032017-032017
Open Access
Distributed Control Design for Heterogeneous Interconnected Systems.
Yvonne R. Stürz, Annika Eichler, Roy S. Smith
(2020)
Closed Access | Times Cited: 3
Delay-Aware Decentralized Q-learning for Wind Farm Control
Claire Bizon Monroc, Eva Bouba, Ana Bušić, et al.
2022 IEEE 61st Conference on Decision and Control (CDC) (2022), pp. 807-813
Closed Access | Times Cited: 2
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems
Sihan Zeng, Alyssa Kody, Youngdae Kim, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Decentralized Economic Dispatch via Proximal Message Passing
Ryan Greenough, Graham McClone, Melvin Lugo Alvarez, et al.
(2022), pp. 166-171
Closed Access
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