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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:

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 1-25 of 31 citing articles:

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10237-10257
Open Access | Times Cited: 133
Energy management optimization for connected hybrid electric vehicle using offline reinforcement learning
Hongwen He, Zegong Niu, Yong Wang, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108517-108517
Closed Access | Times Cited: 18
Machine Learning for Advanced Emission Monitoring and Reduction Strategies in Fossil Fuel Power Plants
Zitu Zuo, Yongjie Niu, J. -H. Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8442-8442
Open Access | Times Cited: 7
Combustion optimization study of pulverized coal boiler based on proximal policy optimization algorithm
Xuecheng Wu, Hongnan Zhang, Huafeng Chen, et al.
Applied Thermal Engineering (2024) Vol. 254, pp. 123857-123857
Closed Access | Times Cited: 6
Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges
Nuria Nievas, Adela Pagès‐Bernaus, Francesc Bonada, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 6
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning
Haoran Xu, Xianyuan Zhan, Xiangyu Zhu
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 8, pp. 8753-8760
Open Access | Times Cited: 20
Possibilities of reinforcement learning for nuclear power plants: Evidence on current applications and beyond
Aicheng Gong, Yangkun Chen, J.P. Zhang, et al.
Nuclear Engineering and Technology (2024) Vol. 56, Iss. 6, pp. 1959-1974
Open Access | Times Cited: 4
Robust and adaptive deep reinforcement learning for enhancing flow control around a square cylinder with varying Reynolds numbers
Wang Jia, Hang Xu
Physics of Fluids (2024) Vol. 36, Iss. 5
Open Access | Times Cited: 4
Safety of human-AI cooperative decision-making within intensive care: A physical simulation study
Paul Festor, Myura Nagendran, Anthony Gordon, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 2, pp. e0000726-e0000726
Open Access
Optimizing Gas and Steam Turbine Performance Through Predictive Maintenance and Thermal Optimization for Sustainable and Cost-Effective Power Generation
James Avevor, Selasi Agbale Aikins, Lawrence Anebi Enyejo
(2025), pp. 994-1010
Closed Access
Sample-customized implicit semantic data augmentation for neural networks regularization
Xu Sheng Kang, Jia Jia, Bing Zhang, et al.
Neurocomputing (2025), pp. 130288-130288
Closed Access
Direct learning of improved control policies from historical plant data
Khalid Alhazmi, S. Mani Sarathy
Computers & Chemical Engineering (2024) Vol. 185, pp. 108662-108662
Closed Access | Times Cited: 3
Analysis of Carbon Emissions and Emission Reduction from Coal-Fired Power Plants Based on Dual Carbon Targets
Haitao Hou, Bo Xie, Yingying Cheng
Sustainability (2023) Vol. 15, Iss. 9, pp. 7369-7369
Open Access | Times Cited: 9
Optimizing Control of Waste Incineration Plants Using Reinforcement Learning and Digital Twins
Martin Schlappa, Jonas Hegemann, Stefan Spinler
IEEE Transactions on Engineering Management (2022) Vol. 71, pp. 3076-3087
Closed Access | Times Cited: 8
Compensated Motion and Position Estimation of a Cable-driven Parallel Robot Based on Deep Reinforcement Learning
Huaishu Chen, Min-Cheol Kim, Yeongoh Ko, et al.
International Journal of Control Automation and Systems (2023) Vol. 21, Iss. 11, pp. 3507-3518
Closed Access | Times Cited: 4
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni, Sai Santosh Dayapule, Juan Gómez-Luna, et al.
(2024), pp. 217-229
Open Access | Times Cited: 1
Offline constrained reinforcement learning for batch-to-batch optimization of cobalt oxalate synthesis process
Runda Jia, Mingchuan Zhang, Zheng Jun, et al.
Process Safety and Environmental Protection (2024) Vol. 209, pp. 334-345
Closed Access | Times Cited: 1
Artificial intelligence as a catalyst for combustion science and engineering
Matthias Ihme, Wai Tong Chung
Proceedings of the Combustion Institute (2024) Vol. 40, Iss. 1-4, pp. 105730-105730
Closed Access | Times Cited: 1
ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants
Shuhan Liu, Di Weng, Yuan Tian, et al.
IEEE Transactions on Visualization and Computer Graphics (2022), pp. 1-11
Closed Access | Times Cited: 7
Offline Reinforcement Learning with Soft Behavior Regularization
Haoran Xu, Xianyuan Zhan, Jianxiong Li, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Model-Based Offline Planning with Trajectory Pruning
Xianyuan Zhan, Xiangyu Zhu, Haoran Xu
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022)
Open Access | Times Cited: 5
Forecast Load Demand in Thermal Power Plant with Machine Learning Algorithm: A Review
Preeti R. Manke, Sourabh Rungta, Satydharma Bharti
Electric Power Components and Systems (2024), pp. 1-15
Closed Access
Reinforcement Learning in Social Sciences: A Survey
Doaa El-Shahat, Nourhan Talal, Mohamed Abouhawwash
Deleted Journal (2024) Vol. 4, pp. 79-92
Open Access
Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study
Nuria Nievas, Leonardo Espinosa-Leal, Adela Pagès‐Bernaus, et al.
Journal of Computing and Information Science in Engineering (2024) Vol. 25, Iss. 1
Open Access
Camel: Efficient Compression of Floating-Point Time Series
Yuanyuan Yao, Lu Chen, Ziquan Fang, et al.
Proceedings of the ACM on Management of Data (2024) Vol. 2, Iss. 6, pp. 1-26
Closed Access
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