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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:

DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives
Aya Amer, Khaled Shaban, Ahmed Massoud
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 1, pp. 239-250
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Real-Time Energy Management in Smart Homes Through Deep Reinforcement Learning
Jamal Aldahmashi, Xiandong Ma
IEEE Access (2024) Vol. 12, pp. 43155-43172
Open Access | Times Cited: 8
A review of distribution network applications based on smart meter data analytics
Christos L. Athanasiadis, Theofilos A. Papadopoulos, Georgios C. Kryonidis, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 191, pp. 114151-114151
Closed Access | Times Cited: 18
Networked Multiagent-Based Safe Reinforcement Learning for Low-Carbon Demand Management in Distribution Networks
Jichen Zhang, Linwei Sang, Yinliang Xu, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 1528-1545
Open Access | Times Cited: 6
Deep Learning and User Consumption Trends Classification and Analysis Based on Shopping Behavior
Yishu Liu, Jia Hou, Wei Zhao
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-23
Open Access | Times Cited: 5
Two-Step Diffusion Policy Deep Reinforcement Learning Method for Low-Carbon Multi-Energy Microgrid Energy Management
Yiwen Zhang, Zhen Mei, Xiaoqian Wu, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4576-4588
Closed Access | Times Cited: 5
An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages
Watcharakorn Pinthurat, Tossaporn Surinkaew, Branislav Hredzak
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114648-114648
Closed Access | Times Cited: 5
Online multi-agent deep reinforcement learning platform for distributed real-time dynamic control of power systems
Zhen Fan, Zhenghong Tu, Wenxin Liu
Neural Computing and Applications (2025)
Open Access
Proximal Policy Optimization–Driven Real-Time Home Energy Management System with Storage and Renewables
Ubaid ur Rehman
Process Integration and Optimization for Sustainability (2025)
Closed Access
Real-time optimal energy management of microgrid based on multi-agent proximal policy optimization
Danlu Wang, Qiuye Sun, Hanguang Su
Neural Computing and Applications (2025)
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
AI Technologies and Their Applications in Small-Scale Electric Power Systems
Arqum Shahid, Freddy Plaum, Tarmo Korõtko, et al.
IEEE Access (2024) Vol. 12, pp. 109984-110001
Open Access | Times Cited: 3
Intelligent Home Energy Management Strategy With Internal Pricing Mechanism Based on Multiagent Artificial Intelligence-of-Things
Tianyun Xu, Tao Chen, Ciwei Gao, et al.
IEEE Systems Journal (2023), pp. 1-12
Closed Access | Times Cited: 9
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
Gargya Gokhale, Seyed Soroush Karimi Madahi, Bert Claessens, et al.
(2024), pp. 55-64
Open Access | Times Cited: 2
Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization
Yongxin Su, Tao Zhang, Meng–Yao Xu, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105065-105065
Closed Access | Times Cited: 7
Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives
Mohammad Javad Salehpour, M. J. Hossain
Journal of Energy Storage (2024) Vol. 92, pp. 112151-112151
Open Access | Times Cited: 2
Coalitional Demand Response Management in Community Energy Management Systems
Nicholas Kemp, Md Sadman Siraj, Eirini Eleni Tsiropoulou
Energies (2023) Vol. 16, Iss. 17, pp. 6363-6363
Open Access | Times Cited: 6
Electric vehicles embedded virtual power plants dispatch mechanism design considering charging efficiencies
Jingshi Cui, Jiaman Wu, Chenye Wu, et al.
Applied Energy (2023) Vol. 352, pp. 121984-121984
Closed Access | Times Cited: 6
A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems
Wenqi Cai, Shambhuraj Sawant, Dirk Reinhardt, et al.
IEEE Access (2023) Vol. 11, pp. 145264-145280
Open Access | Times Cited: 6
Fusing domain knowledge and reinforcement learning for home integrated demand response online optimization
Zhiyao Zhang, Yongxin Su, Mao Tan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105995-105995
Closed Access | Times Cited: 4
CuEMS: Deep reinforcement learning for community control of energy management systems in microgrids
Jianbin Li, Zeshuo Jiang, Zhiqiang Chen, et al.
Energy and Buildings (2023) Vol. 304, pp. 113865-113865
Closed Access | Times Cited: 4
Combating Uncertainties in Smart Grid Decision Networks: Multiagent Reinforcement Learning With Imperfect State Information
A. H. Ghasemi, Amin Shojaeighadikolaei, Morteza Hashemi
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23985-23997
Closed Access | Times Cited: 1
Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes
Hayla Nahom Abishu, Abegaz Mohammed Seid, Sergio Márquez-Sánchez, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1210-1217
Closed Access | Times Cited: 1
Interior-point policy optimization based multi-agent deep reinforcement learning method for secure home energy management under various uncertainties
Yiwen Zhang, Rui Lin, Zhen Mei, et al.
Applied Energy (2024) Vol. 376, pp. 124155-124155
Closed Access | Times Cited: 1
Combined DR Pricing and Voltage Control Using Reinforcement Learning Based Multi-Agents and Load Forecasting
Danyal Afgan Khan, Ammar Arshad, Matti Lehtonen, et al.
IEEE Access (2022) Vol. 10, pp. 130839-130849
Open Access | Times Cited: 5
Development of Residential Load Simulator for Advanced Residential Energy Management
Aya Amer, Sertaç Bayhan, Mark Ehsani, et al.
(2024), pp. 1-6
Closed Access
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