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:

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Xianyuan Zhan, Haoran Xu, Yue Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 4, pp. 4680-4688
Open Access | Times Cited: 31

Showing 26-50 of 31 citing articles:

An adaptive and flexible biomass power plant control system based on on-line fuel image analysis
Thomas Plankenbühler, Dominik Müller, Jürgen Karl
Thermal Science and Engineering Progress (2023) Vol. 40, pp. 101765-101765
Closed Access | Times Cited: 1

Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation
Haruka Kiyohara, Kosuke Kawakami, Yuta Saito
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2

Order from Chaos: Leveraging the Order in Time as Intrinsic Reward
Andrei Cristian Nica, Adina Magda Florea
(2023) Vol. 31, pp. 152-159
Closed Access

Solving the Storage Location Assignment Problem Using Reinforcement Learning
Arne Troch, Erik Mannens, Siegfried Mercelis
(2023), pp. 89-95
Closed Access

ROMO: Retrieval-enhanced Offline Model-based Optimization
Mingcheng Chen, Haoran Zhao, Yuxiang Zhao, et al.
(2023), pp. 1-9
Open Access

Direct Learning of Improved Control Policies from Historical Plant Data
Khalid Alhazmi, S. Mani Sarathy
(2023)
Closed Access

Vehicle Extreme Control based on Offline Reinforcement Leaning
Shiyue Zhao, Jianxiong Li, Xiao Hu, et al.
2021 China Automation Congress (CAC) (2022), pp. 4539-4543
Closed Access

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