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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:

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

Showing 18 citing articles:

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
Hydrogen jet and diffusion modeling by physics-informed graph neural network
Xinqi Zhang, Jihao Shi, Junjie Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 207, pp. 114898-114898
Closed Access | Times Cited: 8
Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach
Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale, et al.
Applied Energy (2024) Vol. 358, pp. 122493-122493
Open 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
Toward scalable prediction of indoor thermal dynamics: Neural-network-implanted state-space (NNiSS) model
Jeeye Mun, Hyeong-Gon Jo, Cheol Soo Park
Energy and Buildings (2025), pp. 115359-115359
Closed Access
Biomass gasification modeling based on physics-informed neural network with constrained particle swarm optimization.
Qihang Weng, Shaojun Ren, Baoyu Zhu, et al.
Energy (2025), pp. 135392-135392
Closed Access
Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach
Shuai Lu, Zihang Gao, Yong Sun, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 1859-1871
Open Access | Times Cited: 4
Disentangled Representation Aided Physics-Informed Neural Network for Predicting Syngas Compositions of Biomass Gasification
Shaojun Ren, Shiliang Wu, Qihang Weng, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 2033-2045
Closed Access | Times Cited: 3
Modularized neural network incorporating physical priors for future building energy modeling
Zixin Jiang, Bing Dong
Patterns (2024) Vol. 5, Iss. 8, pp. 101029-101029
Open Access | Times Cited: 3
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matías Quintana, Chun Fu, et al.
Energy and Buildings (2024) Vol. 310, pp. 114071-114071
Open Access | Times Cited: 2
A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement
Yanhua Guo, Ningbo Wang, Shuangquan Shao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114804-114804
Closed Access | Times Cited: 2
A review of physics-informed machine learning for building energy modeling
Zhihao Ma, Gang Yi Jiang, Yuqing Hu, et al.
Applied Energy (2024) Vol. 381, pp. 125169-125169
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
Hierarchical MPC for building energy management: Incorporating data-driven error compensation and mitigating information asymmetry
Jens Engel, Thomas Schmitt, Tobias Rodemann, et al.
Applied Energy (2024) Vol. 372, pp. 123780-123780
Open Access
Adaptive physically consistent neural networks for data center thermal dynamics modeling
Dong Chen, Chee‐Kong Chui, Poh Seng Lee
Applied Energy (2024) Vol. 377, pp. 124637-124637
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
Hydrogen Jet Diffusion Modeling of Renewable Power-to-Hydrogen System by Using Physics-Informed Graph Neural Network
Xinqi Zhang, Jihao Shi, Junjie Li, et al.
(2023)
Closed Access | Times Cited: 1
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matías Quintana, Chun Fu, et al.
arXiv (Cornell University) (2023)
Open Access
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