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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:

Predictive control of power demand peak regulation based on deep reinforcement learning
Qiming Fu, Lu Liu, Lifan Zhao, et al.
Journal of Building Engineering (2023) Vol. 75, pp. 106992-106992
Closed Access | Times Cited: 15

Showing 15 citing articles:

Quantile regression based probabilistic forecasting of renewable energy generation and building electrical load: A state of the art review
Chengliang Xu, Yongjun Sun, Anran Du, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107772-107772
Closed Access | Times Cited: 23
Reinforcement Learning-Driven Proximal Policy Optimization-Based Voltage Control for PV and WT Integrated Power System
Anis Ur Rehman, Zia Ullah, Hasan Saeed Qazi, et al.
Renewable Energy (2024) Vol. 227, pp. 120590-120590
Closed Access | Times Cited: 9
Predictive digital twin technologies for achieving net zero carbon emissions: a critical review and future research agenda
Faris Elghaish, Sandra Matarneh, M. Reza Hosseini, et al.
Smart and Sustainable Built Environment (2024)
Closed Access | Times Cited: 5
Prospects and Challenges of Reinforcement Learning- Based HVAC Control
Ajifowowe Iyanu, Hojong Chang, C Lee, et al.
Journal of Building Engineering (2024), pp. 111080-111080
Closed Access | Times Cited: 5
Overhead line path planning based on deep reinforcement learning and geographical information system
Jiahui Chen, Yi Yang, Ling Peng, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110468-110468
Closed Access
Towards intelligent management of regional building energy systems: A framework combined with deep reinforcement learning for hybrid energy storage
Rendong Shen, Ruifan Zheng, Dongfang Yang, et al.
Energy Conversion and Management (2025) Vol. 329, pp. 119656-119656
Closed Access
Thermodynamic Optimization of Building HVAC Systems Through Dynamic Modeling and Advanced Machine Learning
Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Ahmed Ibrahim, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 1955-1955
Open Access
Demand response with incomplete information: A systematic review
Lidong Huang, Hui Liu, Bin Liu, et al.
Electric Power Systems Research (2025) Vol. 246, pp. 111720-111720
Closed Access
CorrDQN-FS: A two-stage feature selection method for energy consumption prediction via deep reinforcement learning
Lu Liu, Qiming Fu, You Lu, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108044-108044
Closed Access | Times Cited: 7
Temporal feature decomposition fusion network for building energy multi-step prediction
Ya Yang, Qiming Fu, Jianping Chen, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110034-110034
Closed Access | Times Cited: 2
Optimal cooperative scheduling strategy of energy storage and electric vehicle based on residential building integrated photovoltaic
Xiuying Yan, Xuxin He
Journal of Building Engineering (2024) Vol. 95, pp. 110082-110082
Closed Access | Times Cited: 2
Research on fault diagnosis strategy of air-conditioning system based on signal demodulation and BPNN-PCA
Qizheng Ma, Caiping Yue, Ming Yu, et al.
International Journal of Refrigeration (2023) Vol. 158, pp. 124-134
Closed Access | Times Cited: 6
Visual interpretation of deep deterministic policy gradient models for energy consumption prediction
Huixue Wang, Yunzhe Wang, You Lü, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107847-107847
Closed Access | Times Cited: 5
Study on Waste Heat Recovery of Fuel‐Cell Thermal Management System Based on Reinforcement Learning
Liange He, Yajie Xin, Yan Zhang, et al.
Energy Technology (2024) Vol. 12, Iss. 8
Closed Access | Times Cited: 1
Heat exchanger control: Using deep-Q network
Anjun Zhao, Yingxi Zhang, Wei Quan, et al.
Thermal Science and Engineering Progress (2024) Vol. 50, pp. 102498-102498
Closed Access
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