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:

Enhancing HVAC control systems through transfer learning with deep reinforcement learning agents
Kevlyn Kadamala, Des Chambers, Enda Barrett
Smart Energy (2024) Vol. 13, pp. 100131-100131
Open Access | Times Cited: 14

Showing 14 citing articles:

A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: the HiLo case study
Davide Coraci, Alberto Silvestri, Giuseppe Razzano, et al.
Energy and Buildings (2025) Vol. 329, pp. 115254-115254
Open Access | Times Cited: 2

An experimental evaluation of deep reinforcement learning algorithms for HVAC control
Antonio Manjavacas, Alejandro Campoy-Nieves, Javier Jiménez-Raboso, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 5

Multi-source transfer learning method for enhancing the deployment of deep reinforcement learning in multi-zone building HVAC control
Fangli Hou, Jack C.P. Cheng, H.L. Kwok, et al.
Energy and Buildings (2024) Vol. 322, pp. 114696-114696
Closed Access | Times Cited: 5

Transfer Learning with TD3 for Adaptive HVAC Control in Diverse Building Environments
Kevlyn Kadamala, Des Chambers, Enda Barrett
Communications in computer and information science (2025), pp. 256-267
Closed Access

Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning
Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, et al.
Energy and AI (2025), pp. 100490-100490
Open Access

Machine Learning Control for Assistive Humanoid Robots Using Blackbox Optimization of PID Loops Through Digital Twins
Andrei Mateescu, Dan Popescu, Ioana Livia Stefan
Romanian Journal of Information Science and Technology (2025) Vol. 28, Iss. 1, pp. 63-76
Closed Access

Optimal Load Distribution Control for Airport Terminal Chiller Units Based on Deep Reinforcement Learning
Bochao Chen, Wenhao Zeng, H Ruda Nie, et al.
Journal of Building Engineering (2024), pp. 110787-110787
Closed Access | Times Cited: 3

Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Shengze Lu, Shiyu Zhou, Yan Ding, et al.
Results in Engineering (2024), pp. 103765-103765
Open Access | Times Cited: 2

A comparative study of DQN and D3QN for HVAC system optimization control
Haosen Qin, Tao Meng, Kan Chen, et al.
Energy (2024) Vol. 307, pp. 132740-132740
Closed Access | Times Cited: 1

Leveraging long short‐term memory networks and transfer learning for the soft‐measurement of flue gas flowrate from coal‐fired boilers
Jiahui Lu, Hongjian Tang, Lunbo Duan
Asia-Pacific Journal of Chemical Engineering (2024) Vol. 19, Iss. 6
Closed Access

Enhancing HVAC Control Efficiency: A Hybrid Approach Using Imitation and Reinforcement Learning
Kevlyn Kadamala, Des Chambers, Enda Barrett
Lecture notes in computer science (2024), pp. 256-270
Closed Access

Fostering sustainable development of energy, water and environment through a smart energy framework
Vladimir Z. Gjorgievski, Nataša Markovska, Brian Vad Mathiesen, et al.
Smart Energy (2024), pp. 100167-100167
Open Access

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