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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:

Physics-constrained deep learning of multi-zone building thermal dynamics
Ján Drgoňa, Aaron Tuor, Vikas Chandan, et al.
Energy and Buildings (2021) Vol. 243, pp. 110992-110992
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges
Yanwen Xu, Sara Kohtz, Jessica Boakye, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108900-108900
Open Access | Times Cited: 180
Interpretable machine learning for building energy management: A state-of-the-art review
Zhe Chen, Fu Xiao, Fangzhou Guo, et al.
Advances in Applied Energy (2023) Vol. 9, pp. 100123-100123
Open Access | Times Cited: 153
Physics informed neural networks for control oriented thermal modeling of buildings
Gargya Gokhale, Bert Claessens, Chris Develder
Applied Energy (2022) Vol. 314, pp. 118852-118852
Open Access | Times Cited: 84
Physically Consistent Neural Networks for building thermal modeling: Theory and analysis
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, et al.
Applied Energy (2022) Vol. 325, pp. 119806-119806
Open Access | Times Cited: 74
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
Felix Bünning, Benjamin Huber, Adrian Schalbetter, et al.
Applied Energy (2022) Vol. 310, pp. 118491-118491
Open Access | Times Cited: 69
Ten questions concerning reinforcement learning for building energy management
Zoltán Nagy, Gregor P. Henze, Sourav Dey, et al.
Building and Environment (2023) Vol. 241, pp. 110435-110435
Open Access | Times Cited: 49
Physics-informed neural networks for building thermal modeling and demand response control
Yongbao Chen, Qiguo Yang, Zhe Chen, et al.
Building and Environment (2023) Vol. 234, pp. 110149-110149
Closed Access | Times Cited: 40
Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization
Tianqi Xiao, Fengqi You
Applied Energy (2023) Vol. 342, pp. 121165-121165
Closed Access | Times Cited: 40
Challenges and opportunities of occupant-centric building controls in real-world implementation: A critical review
Atiye Soleimanijavid, Iason Konstantzos, Xiaoqi Liu
Energy and Buildings (2024) Vol. 308, pp. 113958-113958
Open Access | Times Cited: 14
Learning nonlinear state–space models using autoencoders
Daniele Masti, Alberto Bemporad
Automatica (2021) Vol. 129, pp. 109666-109666
Closed Access | Times Cited: 74
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings
Davide Coraci, Silvio Brandi, Alfonso Capozzoli
Energy Conversion and Management (2023) Vol. 291, pp. 117303-117303
Open Access | Times Cited: 26
MERLIN: Multi-agent offline and transfer learning for occupant-centric operation of grid-interactive communities
Kingsley Nweye, Siva Sankaranarayanan, Zoltán Nagy
Applied Energy (2023) Vol. 346, pp. 121323-121323
Open Access | Times Cited: 24
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem, Ján Drgoňa, Colin N. Jones, et al.
2022 American Control Conference (ACC) (2023)
Open Access | Times Cited: 21
Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods
Sina Navidi, Adam Thelen, Tingkai Li, et al.
Energy storage materials (2024) Vol. 68, pp. 103343-103343
Open Access | Times Cited: 13
Energy flexibility quantification of a tropical net-zero office building using physically consistent neural network-based model predictive control
Wei Liang, Han Li, Sicheng Zhan, et al.
Advances in Applied Energy (2024) Vol. 14, pp. 100167-100167
Open Access | Times Cited: 12
Physics-Informed Neural Network Modeling and Predictive Control of District Heating Systems
Laura Boca de Giuli, Alessio La Bella, Riccardo Scattolini
IEEE Transactions on Control Systems Technology (2024) Vol. 32, Iss. 4, pp. 1182-1195
Open Access | Times Cited: 10
Machine learning in proton exchange membrane water electrolysis — A knowledge-integrated framework
Xia Chen, Alexander Rex, Janis Woelke, et al.
Applied Energy (2024) Vol. 371, pp. 123550-123550
Open Access | Times Cited: 7
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings
Kingsley Nweye, Bo Liu, Peter Stone, et al.
Energy and AI (2022) Vol. 10, pp. 100202-100202
Open Access | Times Cited: 34
Scalable algorithms for physics-informed neural and graph networks
Khemraj Shukla, Mengjia Xu, Nathaniel Trask, et al.
Data-Centric Engineering (2022) Vol. 3
Open Access | Times Cited: 32
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics
Giuseppe Pinto, Riccardo Messina, Han Li, et al.
Energy and Buildings (2022) Vol. 276, pp. 112530-112530
Open Access | Times Cited: 28
Simultaneous multistep transformer architecture for model predictive control
Junho Park, Mohammad Reza Babaei, Samuel Arce Muñoz, et al.
Computers & Chemical Engineering (2023) Vol. 178, pp. 108396-108396
Closed Access | Times Cited: 19
Towards scalable physically consistent neural networks: An application to data-driven multi-zone thermal building models
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, et al.
Applied Energy (2023) Vol. 340, pp. 121071-121071
Open Access | Times Cited: 18
Physics-informed hierarchical data-driven predictive control for building HVAC systems to achieve energy and health nexus
Xuezheng Wang, Bing Dong
Energy and Buildings (2023) Vol. 291, pp. 113088-113088
Closed Access | Times Cited: 18
Shifting demand: Reduction in necessary storage capacity through tracking of renewable energy generation
Dylan Wald, Kathryn Johnson, Jennifer King, et al.
Advances in Applied Energy (2023) Vol. 10, pp. 100131-100131
Open Access | Times Cited: 17
Learning Stable Models for Prediction and Control
Giorgos Mamakoukas, Ian Abraham, Todd Murphey
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 2255-2275
Open Access | Times Cited: 16
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