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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:

Relaxed deep learning for real-time economic generation dispatch and control with unified time scale
Linfei Yin, Tao Yu, Xiaoshun Zhang, et al.
Energy (2018) Vol. 149, pp. 11-23
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Machine learning for a sustainable energy future
Zhenpeng Yao, Yanwei Lum, Andrew Johnston, et al.
Nature Reviews Materials (2022) Vol. 8, Iss. 3, pp. 202-215
Open Access | Times Cited: 212
A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects
Mrinal Ranjan, Ravi Shankar
Journal of Energy Storage (2021) Vol. 45, pp. 103717-103717
Closed Access | Times Cited: 178
Review of the metaheuristic algorithms in applications: Visual analysis based on bibliometrics (1994–2023)
Guanghui Li, Taihua Zhang, Chieh-Yuan Tsai, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124857-124857
Closed Access | Times Cited: 17
Integrating artificial intelligence in energy transition: A comprehensive review
Qiang Wang, Yuanfan Li, Rongrong Li
Energy Strategy Reviews (2025) Vol. 57, pp. 101600-101600
Open Access | Times Cited: 14
Development of renewable energy multi-energy complementary hydrogen energy system (A Case Study in China): A review
Zheng Li, Wenda Zhang, Rui Zhang, et al.
Energy Exploration & Exploitation (2020) Vol. 38, Iss. 6, pp. 2099-2127
Open Access | Times Cited: 117
A review of machine learning for new generation smart dispatch in power systems
Linfei Yin, Qi Gao, Lulin Zhao, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 88, pp. 103372-103372
Closed Access | Times Cited: 63
Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control
Fermín Rodríguez, Ainhoa Galarza, Juan C. Vásquez, et al.
Energy (2021) Vol. 239, pp. 122116-122116
Open Access | Times Cited: 54
Relaxed deep generative adversarial networks for real-time economic smart generation dispatch and control of integrated energy systems
Linfei Yin, Bin Zhang
Applied Energy (2022) Vol. 330, pp. 120300-120300
Closed Access | Times Cited: 27
Multi-agent quantum-inspired deep reinforcement learning for real-time distributed generation control of 100% renewable energy systems
Dan Liu, Yingzi Wu, Yiqun Kang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105787-105787
Closed Access | Times Cited: 16
Time series generative adversarial network controller for long-term smart generation control of microgrids
Linfei Yin, Bin Zhang
Applied Energy (2020) Vol. 281, pp. 116069-116069
Closed Access | Times Cited: 40
A normalized deep neural network with self-attention mechanisms based multi-objective multi-verse optimization algorithm for economic dispatch
Linfei Yin, R.-W. Liu
Applied Energy (2025) Vol. 383, pp. 125414-125414
Closed Access
Expandable deep learning for real-time economic generation dispatch and control of three-state energies based future smart grids
Linfei Yin, Qi Gao, Lulin Zhao, et al.
Energy (2019) Vol. 191, pp. 116561-116561
Closed Access | Times Cited: 39
Lazy reinforcement learning for real-time generation control of parallel cyber–physical–social energy systems
Linfei Yin, Shengyuan Li, Hui Liu
Engineering Applications of Artificial Intelligence (2019) Vol. 88, pp. 103380-103380
Closed Access | Times Cited: 25
Smart grid dispatch powered by deep learning: a survey
Gang Huang, Fei Wu, Chuangxin Guo
Frontiers of Information Technology & Electronic Engineering (2022) Vol. 23, Iss. 5, pp. 763-776
Closed Access | Times Cited: 12
Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach
Jianxiong Hu, Yujian Ye, Yi Tang, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 2, pp. 3972-3986
Closed Access | Times Cited: 7
Knowledge-shareable adaptive deep dynamic programming for hierarchical generation control of distributed high-percentage renewable energy systems
Lulin Zhao, Linfei Yin
Renewable Energy (2024) Vol. 228, pp. 120627-120627
Closed Access | Times Cited: 2
Deep Forest Reinforcement Learning for Preventive Strategy Considering Automatic Generation Control in Large-Scale Interconnected Power Systems
Linfei Yin, Lulin Zhao, Tao Yu, et al.
Applied Sciences (2018) Vol. 8, Iss. 11, pp. 2185-2185
Open Access | Times Cited: 22
Expandable depth and width adaptive dynamic programming for economic smart generation control of smart grids
Linfei Yin, Shikui Luo, Chen-Xiao Ma
Energy (2021) Vol. 232, pp. 120964-120964
Closed Access | Times Cited: 16
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines
Linfei Yin, Lichun Chen, Dongduan Liu, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 106, pp. 104451-104451
Closed Access | Times Cited: 16
Rejectable deep differential dynamic programming for real-time integrated generation dispatch and control of micro-grids
Linfei Yin, Lulin Zhao
Energy (2021) Vol. 225, pp. 120268-120268
Closed Access | Times Cited: 14
Real-time dynamic economic load dispatch integrated with renewable energy curtailment
Yutaka Sasaki, Toshiya Tsurumi, Naoto Yorino, et al.
Journal of International Council on Electrical Engineering (2019) Vol. 9, Iss. 1, pp. 85-92
Open Access | Times Cited: 15
Long-term deep reinforcement learning for real-time economic generation control of cloud energy storage systems with varying structures
Linfei Yin, Yi Xiong
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109363-109363
Closed Access | Times Cited: 1
Environmental shutdown of coal-fired generators for greenhouse gas reduction: A case study of South Korea
Hansol Shin, Tae Hyun Kim, Hyoung-Tae Kim, et al.
Applied Energy (2019) Vol. 252, pp. 113453-113453
Open Access | Times Cited: 11
Automatic generation control of ubiquitous power Internet of Things integrated energy system based on deep reinforcement learning
Yu Lu, Wei Hu, Xian Zhang, et al.
Scientia Sinica Technologica (2019) Vol. 50, Iss. 2, pp. 221-234
Open Access | Times Cited: 10
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
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