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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 26-50 of 99 citing articles:

Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
Fabio Pavirani, Gargya Gokhale, Bert Claessens, et al.
Energy and Buildings (2024) Vol. 311, pp. 114161-114161
Open Access | Times Cited: 6
Physics-constrained graph modeling for building thermal dynamics
Ziyao Yang, Amol D. Gaidhane, Ján Drgoňa, et al.
Energy and AI (2024) Vol. 16, pp. 100346-100346
Open Access | Times Cited: 5
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
Sensitivity Analysis of Physical Regularization in Physics-informed Neural Networks (PINNs) of Building Thermal Modeling
Yongbao Chen, Huilong Wang, Zhe Chen
Building and Environment (2025), pp. 112693-112693
Closed Access
Accuracy, generalizability, and extrapolation ability of physics-based, data-driven, and hybrid models for real-life cooling towers
Jin‐Hong Kim, Young Sub Kim, Hyunji Jo, et al.
Building and Environment (2025), pp. 112756-112756
Closed Access
Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems
Xiangzhi Xu, Julian Wang
Forecasting (2025) Vol. 7, Iss. 1, pp. 9-9
Open Access
Deeply flexible commercial building HVAC system control: A physics-aware deep learning-embedded MPC approach
Lingfeng Tang, Haipeng Xie, Yongguan Wang, et al.
Applied Energy (2025) Vol. 388, pp. 125631-125631
Closed Access
CityTFT: A temporal fusion transformer-based surrogate model for urban building energy modeling
Ting-Yu Dai, Dev Niyogi, Zoltán Nagy
Applied Energy (2025) Vol. 389, pp. 125712-125712
Closed Access
Bidirectional selection of the functional properties and environmental friendliness of organophosphorus (OP) pesticide derivatives: Design, screening, and mechanism analysis
Zhonghe Wang, Qikun Pu, Yu Li
The Science of The Total Environment (2023) Vol. 879, pp. 163043-163043
Closed Access | Times Cited: 12
Improving the out-of-sample generalization ability of data-driven chiller performance models using physics-guided neural network
Fangzhou Guo, Ao Li, Yue Bao, et al.
Applied Energy (2023) Vol. 354, pp. 122190-122190
Closed Access | Times Cited: 12
A review of physics-based learning for system health management
Samir Khan, Takehisa Yairi, Seiji Tsutsumi, et al.
Annual Reviews in Control (2024) Vol. 57, pp. 100932-100932
Closed Access | Times Cited: 4
An optimization-oriented modeling approach using input convex neural networks and its application on optimal chiller loading
Shanshuo Xing, Jili Zhang, Song Mu
Building Simulation (2024) Vol. 17, Iss. 4, pp. 639-655
Closed Access | Times Cited: 4
Identification and Mechanistic Analysis of Toxic Degradation Products in the Advanced Oxidation Pathways of Fluoroquinolone Antibiotics
Shuhai Sun, Zhonghe Wang, Qikun Pu, et al.
Toxics (2024) Vol. 12, Iss. 3, pp. 203-203
Open Access | Times Cited: 4
Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets
Xia Chen, Manav Mahan Singh, Philipp Geyer
Knowledge-Based Systems (2024) Vol. 294, pp. 111774-111774
Open Access | Times Cited: 4
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: 4
Digitalization of Urban Multi-Energy Systems – Advances in Digital Twin Applications across Life-Cycle Phases
Binod Prasad Koirala, Hanmin Cai, F. Khayatian, et al.
Advances in Applied Energy (2024), pp. 100196-100196
Open Access | Times Cited: 4
Evaluation of deploying data-driven predictive controls in buildings on a large scale for greenhouse gas emission reduction
Zhipeng Deng, Xuezheng Wang, Zixin Jiang, et al.
Energy (2023) Vol. 270, pp. 126934-126934
Open Access | Times Cited: 10
Physics-constrained cooperative learning-based reference models for smart management of chillers considering extrapolation scenarios
Xinbin Liang, Xu Zhu, Siliang Chen, et al.
Applied Energy (2023) Vol. 349, pp. 121642-121642
Closed Access | Times Cited: 10
Physically consistent deep learning-based day-ahead energy dispatching and thermal comfort control for grid-interactive communities
Tianqi Xiao, Fengqi You
Applied Energy (2023) Vol. 353, pp. 122133-122133
Closed Access | Times Cited: 10
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
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
Ján Drgoňa, Aaron Tuor, Elliott Skomski, et al.
IFAC-PapersOnLine (2021) Vol. 54, Iss. 6, pp. 14-19
Open Access | Times Cited: 23
Living laboratories can and should play a greater role to unlock flexibility in United States commercial buildings
Jacques A. de Chalendar, Aditya Keskar, Jeremiah X. Johnson, et al.
Joule (2023) Vol. 8, Iss. 1, pp. 13-28
Closed Access | Times Cited: 9
Interpreting the neural network model for HVAC system energy data mining
Man Wang, Zhe Wang, Geng Yang, et al.
Building and Environment (2021) Vol. 209, pp. 108449-108449
Closed Access | Times Cited: 18
Neural differential equations for temperature control in buildings under demand response programs
Vincent Taboga, Clement Gehring, Mathieu Le Cam, et al.
Applied Energy (2024) Vol. 368, pp. 123433-123433
Open Access | Times Cited: 2

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