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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:

Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems
Linfei Yin, Xiaoyu He
Energy (2023) Vol. 273, pp. 127232-127232
Closed Access | Times Cited: 18

Showing 18 citing articles:

Adaptive cyber-tolerant finite-time frequency control framework for renewable-integrated power system under deception and periodic denial-of-service attacks
Aniket Karan Chaudhary, Satyabrata Roy, Dipayan Guha, et al.
Energy (2024) Vol. 302, pp. 131809-131809
Closed Access | Times Cited: 7
A quasi-oppositional learning of updating quantum state and Q-learning based on the dung beetle algorithm for global optimization
Zhendong Wang, Lili Huang, Shuxin Yang, et al.
Alexandria Engineering Journal (2023) Vol. 81, pp. 469-488
Open Access | Times Cited: 19
A Robust V2G Voltage Control Scheme for Distribution Networks Against Cyber Attacks and Customer Interruptions
Haopeng An, Jianbo Yi, Yankai Xing, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 4, pp. 3966-3978
Closed Access | Times Cited: 3
Data-driven load frequency cooperative control for multi-area power system integrated with VSCs and EV aggregators under cyber-attacks
Guangdou Zhang, Jian Li, Yankai Xing, et al.
ISA Transactions (2023) Vol. 143, pp. 440-457
Closed Access | Times Cited: 8
Decomposition prediction fractional-order PID reinforcement learning for short-term smart generation control of integrated energy systems
Linfei Yin, Da Zheng
Applied Energy (2023) Vol. 355, pp. 122246-122246
Closed Access | Times Cited: 8
Hybrid modeling with data enhanced driven learning algorithm for smart generation control in multi-area integrated energy systems with high proportion renewable energy
Linfei Yin, Da Zheng
Expert Systems with Applications (2024) Vol. 261, pp. 125530-125530
Closed Access | Times Cited: 2
Integrating Evolutionary Game-Theoretical Methods and Deep Reinforcement Learning for Adaptive Strategy Optimization in User-Side Electricity Markets: A Comprehensive Review
Lefeng Cheng, Xin Wei, Manling Li, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3241-3241
Open Access | Times Cited: 2
Lazy deep Q networks for unified rotor angle stability framework with unified time-scale of power systems with mass distributed energy storage
Linfei Yin, Nan Mo, Yuejiang Lu
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107129-107129
Closed Access | Times Cited: 3
Quantum-inspired distributed policy-value optimization learning with advanced environmental forecasting for real-time generation control in novel power systems
Linfei Yin, Xinghui Cao
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107640-107640
Closed Access | Times Cited: 3
Optimization of reactive power in distribution networks with DG based on improved particle swarm algorithm
Shanshan Xu, Xuyun Long, L. LEI, et al.
E3S Web of Conferences (2024) Vol. 518, pp. 01013-01013
Open Access
Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids
Linfei Yin, H. J. Mo
Advanced Engineering Informatics (2024) Vol. 62, pp. 102602-102602
Closed Access
Distribution Network Reactive Power Optimization Method with Distributed Power Sources Based on Improved Particle Swarm Optimization
Jing Wang, Jinshan Li, Jinlong Gao, et al.
Lecture notes in electrical engineering (2024), pp. 342-352
Closed Access
Novel Static Security and Stability Control of Power Systems Based on Artificial Emotional Lazy Q-Learning
Tao Bao, Xiyuan Ma, Zhuohuan Li, et al.
Energy Engineering (2024) Vol. 121, Iss. 6, pp. 1713-1737
Open Access
Fractional-order Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids
Linfei Yin, Nan Mo
Applied Soft Computing (2024) Vol. 162, pp. 111825-111825
Closed Access
Quantum model prediction for frequency regulation of novel power systems which includes a high proportion of energy storage
Wenbo Luo, Yufan Xu, Wanlin Du, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Research on the Multi-Area Cooperative Control Method for Novel Power Systems
Lei Xi, Yu Shi, Yue Quan, et al.
(2024)
Closed Access
Optimization of grid-connected voltage support technology and intelligent control strategies for new energy stations based on deep learning
Leiyan Lv, Xuan Fang, Si Zhang, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access
Research on the multi-area cooperative control method for novel power systems
Lei Xi, Yu Shi, Yue Quan, et al.
Energy (2024), pp. 133912-133912
Closed Access
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