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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:

Safe reinforcement learning for real-time automatic control in a smart energy-hub
Dawei Qiu, Zihang Dong, Xi Zhang, et al.
Applied Energy (2022) Vol. 309, pp. 118403-118403
Closed Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Deep reinforcement learning in smart manufacturing: A review and prospects
Chengxi Li, Pai Zheng, Yue Yin, et al.
CIRP journal of manufacturing science and technology (2022) Vol. 40, pp. 75-101
Closed Access | Times Cited: 155
Network flexibility regulation by renewable energy hubs using flexibility pricing-based energy management
Ehsan Akbari, Seyed Farzin Mousavi Shabestari, Sasan Pirouzi, et al.
Renewable Energy (2023) Vol. 206, pp. 295-308
Closed Access | Times Cited: 97
Reinforcement learning for electric vehicle applications in power systems:A critical review
Dawei Qiu, Yi Wang, Weiqi Hua, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 173, pp. 113052-113052
Open Access | Times Cited: 73
Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading
Dawei Qiu, Juxing Xue, Tingqi Zhang, et al.
Applied Energy (2022) Vol. 333, pp. 120526-120526
Closed Access | Times Cited: 56
Strategic potential of multi-energy system towards carbon neutrality: A forward-looking overview
Tobi Michael Alabi, Favour David Agbajor, Zaiyue Yang, et al.
Energy and Built Environment (2022) Vol. 4, Iss. 6, pp. 689-708
Open Access | Times Cited: 51
Applications of Artificial Intelligence Algorithms in the Energy Sector
Hubert Szczepaniuk, Edyta Karolina Szczepaniuk
Energies (2022) Vol. 16, Iss. 1, pp. 347-347
Open Access | Times Cited: 43
Multi-objective planning of energy hub on economic aspects and resources with heat and power sources, energizable, electric vehicle and hydrogen storage system due to uncertainties and demand response
Guodao Zhang, Yisu Ge, Zi Ye, et al.
Journal of Energy Storage (2022) Vol. 57, pp. 106160-106160
Closed Access | Times Cited: 41
Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids
Spyros Giannelos, Stefan Borozan, Marko Aunedi, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5088-5088
Open Access | Times Cited: 34
Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach
Yi Wang, Dawei Qiu, Mingyang Sun, et al.
Applied Energy (2023) Vol. 335, pp. 120759-120759
Open Access | Times Cited: 32
Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches
Michał Jasiński, Arsalan Najafi, Omid Homaee, et al.
IEEE Access (2023) Vol. 11, pp. 7208-7228
Open Access | Times Cited: 30
Graph Learning-Based Voltage Regulation in Distribution Networks With Multi-Microgrids
Yi Wang, Dawei Qiu, Yu Wang, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 1881-1895
Closed Access | Times Cited: 26
Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint
Yanting Zhou, Zhongjing Ma, Xingyu Shi, et al.
Energy (2023) Vol. 288, pp. 129732-129732
Closed Access | Times Cited: 26
Novel Data-Driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent DRL approach
Bin Zhang, Weihao Hu, Di Cao, et al.
Applied Energy (2023) Vol. 339, pp. 120902-120902
Closed Access | Times Cited: 23
Artificial intelligence for hydrogen-enabled integrated energy systems: A systematic review
Siripond Mullanu, Caslon Chua, Andreea Molnar, et al.
International Journal of Hydrogen Energy (2024)
Open Access | Times Cited: 11
A critical review of safe reinforcement learning strategies in power and energy systems
Van‐Hai Bui, Sina Mohammadi, Srijita Das, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110091-110091
Closed Access | Times Cited: 1
A Novel Model-Free Deep Reinforcement Learning Framework for Energy Management of a PV Integrated Energy Hub
Amirhossein Dolatabadi, Hussein Abdeltawab, Yasser Abdel‐Rady I. Mohamed
IEEE Transactions on Power Systems (2022) Vol. 38, Iss. 5, pp. 4840-4852
Closed Access | Times Cited: 35
Operation strategy optimization of combined cooling, heating, and power systems with energy storage and renewable energy based on deep reinforcement learning
Yingjun Ruan, Zhenyu Liang, Fanyue Qian, et al.
Journal of Building Engineering (2022) Vol. 65, pp. 105682-105682
Closed Access | Times Cited: 30
Optimal dispatch of an energy hub with compressed air energy storage: A safe reinforcement learning approach
Alireza Daneshvar Garmroodi, Fuzhan Nasiri, Fariborz Haghighat
Journal of Energy Storage (2022) Vol. 57, pp. 106147-106147
Closed Access | Times Cited: 29
Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm
Shengren Hou, Pedro P. Vergara, Edgar Mauricio Salazar Duque, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 152, pp. 109230-109230
Open Access | Times Cited: 20
Low-carbon Economic Dispatch of Electricity-Heat-Gas Integrated Energy Systems Based on Deep Reinforcement Learning
Yuxian Zhang, Yi Han, Deyang Liu, et al.
Journal of Modern Power Systems and Clean Energy (2023) Vol. 11, Iss. 4, pp. 1827-1841
Open Access | Times Cited: 18
Techno-economic assessment of isolated micro-grids with second-life batteries: A reliability-oriented iterative design framework
Hanyu Bai, Shunbo Lei, Sijia Geng, et al.
Applied Energy (2024) Vol. 364, pp. 123068-123068
Closed Access | Times Cited: 7
Safe deep reinforcement learning-assisted two-stage energy management for active power distribution networks with hydrogen fueling stations
Panggah Prabawa, Dae‐Hyun Choi
Applied Energy (2024) Vol. 375, pp. 124170-124170
Closed Access | Times Cited: 6
Resilience enhancement of multi-agent reinforcement learning-based demand response against adversarial attacks
Lanting Zeng, Dawei Qiu, Mingyang Sun
Applied Energy (2022) Vol. 324, pp. 119688-119688
Closed Access | Times Cited: 27
Evolutionary-assisted reinforcement learning for reservoir real-time production optimization under uncertainty
Zhongzheng Wang, Kai Zhang, Guodong Chen, et al.
Petroleum Science (2022) Vol. 20, Iss. 1, pp. 261-276
Open Access | Times Cited: 26
Coordination for Multienergy Microgrids Using Multiagent Reinforcement Learning
Dawei Qiu, Tianyi Chen, Goran Štrbac, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 5689-5700
Open Access | Times Cited: 25
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