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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:

Multi-objective optimization of thermal power and outlet steam temperature for a nuclear steam supply system with deep reinforcement learning
Tianhao Zhang, Zhe Dong, Xiaojin Huang
Energy (2023) Vol. 286, pp. 129526-129526
Closed Access | Times Cited: 10

Showing 10 citing articles:

Discrete-time integral terminal sliding mode load following controller coupled with disturbance observer for a modular high-temperature gas-cooled reactor
Jiuwu Hui
Energy (2024) Vol. 292, pp. 130479-130479
Closed Access | Times Cited: 14
The nexus between Russian uranium exports and US nuclear-energy consumption: Do the spillover effects of geopolitical risks matter?
Md. Monirul Islam, Muhammad Shahbaz, Nahla Samargandi
Energy (2024) Vol. 293, pp. 130481-130481
Closed Access | Times Cited: 6
Research on key technology and application progress of rescue robot in nuclear accident emergency situation
Duo Dong, Z.R. Wang, Jingyu Guan, et al.
Nuclear Engineering and Technology (2025), pp. 103457-103457
Open Access
NSGA-II algorithm Based Control Parameters Optimization Strategy for Megawatt Novel Nuclear Power Systems
Qingfeng Jiang, Pengfei Wang
Energy (2025), pp. 134444-134444
Closed Access
A fuzzy logic-based coordinated adaptive control method for megawatt novel nuclear power systems
Qingfeng Jiang, Pengfei Wang
Annals of Nuclear Energy (2025) Vol. 215, pp. 111245-111245
Closed Access
A Multi-Variable Coupled Control Strategy Based on a Deep Deterministic Policy Gradient Reinforcement Learning Algorithm for a Small Pressurized Water Reactor
Jie Chen, Kai Xiao, Huang Ke, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1517-1517
Open Access
A data‐driven Bayesian approach for optimal dynamic product transitions
Antonio Flores‐Tlacuahuac, Luis Fabián Fuentes‐Cortés
AIChE Journal (2024) Vol. 70, Iss. 6
Open Access | Times Cited: 2
The Real-Time Detection of Defects in Nuclear Power Pipeline Thermal Insulation Glass Fiber by Deep-Learning
Qiankang Zheng, Le Lu, Zhaofeng Chen, et al.
Energy (2024) Vol. 313, pp. 133774-133774
Closed Access | Times Cited: 1
Multi-Agent Reinforcement Learning for Power System Operation and Control
Alok Pal Jain, J. Sridevi, Upendra Dabral, et al.
E3S Web of Conferences (2024) Vol. 511, pp. 01021-01021
Open Access
WGAN-GP Generating Wind Power Scenarios and Using BP Neural Network for Classification Evaluation
Wenshuo Wang, Hongtao Wei, Kun Zhou, et al.
(2024), pp. 1430-1435
Closed Access
Applications of deep reinforcement learning in nuclear energy: A review
Yong‐Chao Liu, Bo Wang, Sichao Tan, et al.
Nuclear Engineering and Design (2024) Vol. 429, pp. 113655-113655
Closed Access
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