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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:

Scalable energy management approach of residential hybrid energy system using multi-agent deep reinforcement learning
Zixuan Wang, Fu Xiao, Ran Yi, et al.
Applied Energy (2024) Vol. 367, pp. 123414-123414
Closed Access | Times Cited: 18

Showing 18 citing articles:

Energy efficiency measures towards decarbonizing Japanese residential sector: Techniques, application evidence and future perspectives
Xiaoyi Zhang, Yanxue Li, Fu Xiao, et al.
Energy and Buildings (2024) Vol. 319, pp. 114514-114514
Closed Access | Times Cited: 6
Adaptive multi-agent reinforcement learning for flexible resource management in a virtual power plant with dynamic participating multi-energy buildings
Haochi Wu, Dawei Qiu, Liyu Zhang, et al.
Applied Energy (2024) Vol. 374, pp. 123998-123998
Closed Access | Times Cited: 6
Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications
Mingzhe Liu, Mingyue Guo, Yangyang Fu, et al.
Applied Energy (2024) Vol. 372, pp. 123753-123753
Closed Access | Times Cited: 5
An optimization scheduling strategy for hydrogen-based integrated energy systems using multi-agent deep reinforcement learning
Lei Zhang, Ye He, Nikos Hatziargyriou, et al.
Energy Conversion and Management (2025) Vol. 326, pp. 119483-119483
Closed Access
Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems
Yuan Gao, Zehuan Hu, Shun Yamate, et al.
Applied Energy (2025), pp. 125387-125387
Open Access
Experimental Investigation and Scenario-based Optimization of Energy Flexibility in Embedded Radiant Cooling Systems
Yun Xie, Yanxue Li, Hongshe Cui
Case Studies in Thermal Engineering (2025), pp. 105835-105835
Open Access
Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning
Yuan Gao, Zehuan Hu, Wei-An Chen, et al.
Energy (2024) Vol. 302, pp. 131863-131863
Closed Access | Times Cited: 3
Integrated energy hub dispatch with a multi-mode CAES–BESS hybrid system: An option-based hierarchical reinforcement learning approach
Feifei Cui, Dou An, Huan Xi
Applied Energy (2024) Vol. 374, pp. 123950-123950
Closed Access | Times Cited: 1
Grid variability and value assessment of long-duration energy storage under rising photovoltaic penetration: evidence from Japan
Yanxue Li, Yun Xie, Xiaoyi Zhang, et al.
Energy (2024) Vol. 307, pp. 132607-132607
Closed Access | Times Cited: 1
A probabilistic model for real-time quantification of building energy flexibility
Binglong Han, Hangxin Li, Shengwei Wang
Advances in Applied Energy (2024) Vol. 15, pp. 100186-100186
Open Access | Times Cited: 1
Comparative Analysis of Reinforcement Learning Approaches for Multi-Objective Optimization in Residential Hybrid Energy Systems
Yang Xu, Yanxue Li, Weijun Gao
Buildings (2024) Vol. 14, Iss. 9, pp. 2645-2645
Open Access | Times Cited: 1
Analyzing Variability and Coordinated Demand Management for Various Flexible Integrations of Residential Distributed Energy Resources
Xiaoyi Zhang, Yan Liu, Yanxue Li, et al.
Renewable Energy (2024) Vol. 237, pp. 121619-121619
Closed Access | Times Cited: 1
Intelligent Control Strategy for Coal to Ethylene Glycol Wastewater Emission Reduction based on Dynamic Simulation and Reinforcement Learning
Yang Sun, Zijian Liu, Zhe Li, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 1
Low-carbon economic dispatch strategy for integrated electrical and gas system with GCCP based on multi-agent deep reinforcement learning
Wentao Feng, Bingyan Deng, Ziwen Zhang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
A novel risk-averse multi-energy Management for Effective Offering Strategy of integrated energy production units in a real-time electricity market
Yixin Li, Zhengshuo Li
Applied Energy (2024) Vol. 377, pp. 124380-124380
Closed Access
Community shared ES-PV system for managing electric vehicle loads via multi-agent reinforcement learning
Baligen Talihati, Shiyi Fu, Bowen Zhang, et al.
Applied Energy (2024) Vol. 380, pp. 125039-125039
Closed Access
Applications of Deep Reinforcement Learning for Home Energy Management Systems: A Review
Dominik Latoń, Jakub Grela, Andrzej Ożadowicz
Energies (2024) Vol. 17, Iss. 24, pp. 6420-6420
Open Access
A review of scalable and privacy-preserving multi-agent frameworks for distributed energy resources
Xiang Huo, Hao Huang, Katherine Davis, et al.
Advances in Applied Energy (2024), pp. 100205-100205
Open Access
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