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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:

Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings
Xiao Wang, Xuyuan Kang, Jingjing An, et al.
Energy and Buildings (2023) Vol. 301, pp. 113696-113696
Closed Access | Times Cited: 19

Showing 19 citing articles:

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
Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control
Alberto Silvestri, Davide Coraci, Silvio Brandi, et al.
Applied Energy (2024) Vol. 368, pp. 123447-123447
Open Access | Times Cited: 11
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
Davide Coraci, Silvio Brandi, Tianzhen Hong, et al.
Building Simulation (2024) Vol. 17, Iss. 5, pp. 739-770
Open Access | Times Cited: 9
Investigating the deviation between prediction accuracy metrics and control performance metrics in the context of an ice-based thermal energy storage system
Xiao Wang, Xue Liu, Yanfang Wang, et al.
Journal of Energy Storage (2024) Vol. 91, pp. 112126-112126
Closed Access | Times Cited: 7
Long-term experimental evaluation and comparison of advanced controls for HVAC systems
Xuezheng Wang, Bing Dong
Applied Energy (2024) Vol. 371, pp. 123706-123706
Closed Access | Times Cited: 5
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
Practical deployment of reinforcement learning for building controls using an imitation learning approach
Alberto Silvestri, Davide Coraci, Silvio Brandi, et al.
Energy and Buildings (2025), pp. 115511-115511
Open Access
Dyna-PINN: Physics-informed Deep Dyna-Q Reinforcement Learning for Intelligent Control of Building Heating System in Low-Diversity Training Data Regimes
Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck
Energy and Buildings (2024) Vol. 324, pp. 114879-114879
Closed Access | Times Cited: 3
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: 3
Distribution and correlation analysis of typical features of electricity use profiles in non-residential buildings
Xuyuan Kang, Xu Huiming, Xiao Wang, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110025-110025
Closed Access | Times Cited: 2
Novel Machine Learning Paradigms-Enabled Methods for Smart Building Operations in Data-Challenging Contexts: Progress and Perspectives
Fan Cheng, Yutian Lei, Jinhan Mo, et al.
National Science Open (2024) Vol. 3, Iss. 3, pp. 20230068-20230068
Open Access | Times Cited: 1
Mechanism analysis of climate change impacts on the performance of ice storage systems
Ting Lei, Yang Teng, Wanxiang Yao, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113184-113184
Closed Access | Times Cited: 1
Experimental Evaluation of Advanced Controls for Hvac Systems with Physics-Informed Neural Networks
Xuezheng Wang, Bing Dong
(2024)
Closed Access
Optimal Energy Storage System Selection: A Decision Support Framework
Oleg Igorevich Rozhdestvenskiy, Phaneendra Babu Bobba, Deepti Sharma, et al.
E3S Web of Conferences (2024) Vol. 511, pp. 01017-01017
Open Access
Why Reinforcement Learning in Energy Systems Needs Explanations
Hallah Shahid Butt, Benjamin Schäfer
(2024), pp. 26-30
Open Access
A district-level building electricity use profile simulation model based on probability distribution inferences
Xuyuan Kang, Hongyin Chen, Zhenlan Dou, et al.
Sustainable Cities and Society (2024), pp. 105822-105822
Closed Access
Physics-consistent input convex neural network-driven reinforcement learning control for multi-zone radiant ceiling heating and cooling systems: An experimental study
Xiao Wang, Xuezheng Wang, Xuyuan Kang, et al.
Energy and Buildings (2024), pp. 115105-115105
Closed Access
Research on Optimized Control Strategy of Ice Storage Cooling Air Conditioning System for Office Buildings Based on Load Forecasting
Zubin Zhou, Lihua Zhao
Lecture notes in civil engineering (2024), pp. 154-161
Closed Access
Investigating the Deviation between Prediction Accuracy Metrics and Control Performance Metrics in the Context of an Ice-Based Thermal Energy Storage System
Xiao Wang, Xue Liu, Yanfang Wang, et al.
(2023)
Closed Access
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