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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:

System-level virtual sensing method in building energy systems using autoencoder: Under the limited sensors and operational datasets
Yejin Hong, Sungmin Yoon, Yong-Shik Kim, et al.
Applied Energy (2021) Vol. 301, pp. 117458-117458
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Smart virtual sensing for deep excavations using real-time ensemble graph neural networks
Chen Yang, Chen Wang, Feng Zhao, et al.
Automation in Construction (2025) Vol. 172, pp. 106040-106040
Closed Access | Times Cited: 1
Virtual sensing in intelligent buildings and digitalization
Sungmin Yoon
Automation in Construction (2022) Vol. 143, pp. 104578-104578
Open Access | Times Cited: 45
Building digital twinning: Data, information, and models
Sungmin Yoon
Journal of Building Engineering (2023) Vol. 76, pp. 107021-107021
Open Access | Times Cited: 39
PID-based CNN-LSTM for accuracy-boosted virtual sensor in battery thermal management system
Jiahang Xie, Rufan Yang, Hoay Beng Gooi, et al.
Applied Energy (2022) Vol. 331, pp. 120424-120424
Closed Access | Times Cited: 37
In situ modeling methodologies in building operation: A review
Sungmin Yoon
Building and Environment (2023) Vol. 230, pp. 109982-109982
Closed Access | Times Cited: 31
Fault diagnosis for cross-building energy systems based on transfer learning and model interpretation
Liang Chen, Guannan Li, Jiangyan Liu, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109424-109424
Closed Access | Times Cited: 11
In-situ sensor virtualization and calibration in building systems
Jabeom Koo, Sungmin Yoon
Applied Energy (2022) Vol. 325, pp. 119864-119864
Closed Access | Times Cited: 36
In situ model fusion for building digital twinning
Sungmin Yoon, Jabeom Koo
Building and Environment (2023) Vol. 243, pp. 110652-110652
Closed Access | Times Cited: 17
Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations
Jabeom Koo, Sungmin Yoon
Advanced Engineering Informatics (2023) Vol. 59, pp. 102239-102239
Closed Access | Times Cited: 17
Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning
Guannan Li, Liang Chen, Cheng Fan, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121549-121549
Closed Access | Times Cited: 16
Enhancing digital twin efficiency in indoor environments: Virtual sensor-driven optimization of physical sensor combinations
Hakjong Shin, Young Hoon Kwak
Automation in Construction (2024) Vol. 161, pp. 105326-105326
Closed Access | Times Cited: 6
Autoencoder reconstruction residual-Wasserstein distance based in-situ calibration for indoor environment spatial expansion virtual sensors
Hakjong Shin, Seng‐Kyoun Jo, Won-Kyu Choi
Energy and Buildings (2025), pp. 115452-115452
Open Access
Validation of virtual sensor-assisted Bayesian inference-based in-situ sensor calibration strategy for building HVAC systems
Guannan Li, Jiahao Xiong, Shaobo Sun, et al.
Building Simulation (2022) Vol. 16, Iss. 2, pp. 185-203
Closed Access | Times Cited: 22
Strategies for sensor virtual in-situ calibration in building energy system: Sensor evaluation and data-driven based methods
Jiteng Li, Peng Wang, Han Xing, et al.
Energy and Buildings (2023) Vol. 294, pp. 113274-113274
Closed Access | Times Cited: 12
Interpretation and explanation of convolutional neural network-based fault diagnosis model at the feature-level for building energy systems
Guannan Li, Liang Chen, Cheng Fan, et al.
Energy and Buildings (2023) Vol. 295, pp. 113326-113326
Closed Access | Times Cited: 12
An interpretable graph convolutional neural network based fault diagnosis method for building energy systems
Guannan Li, Zhanpeng Yao, Liang Chen, et al.
Building Simulation (2024) Vol. 17, Iss. 7, pp. 1113-1136
Closed Access | Times Cited: 4
Operational signature-based symbolic hierarchical clustering for building energy, operation, and efficiency towards carbon neutrality
Yejin Hong, Sungmin Yoon, Sebin Choi
Energy (2022) Vol. 265, pp. 126276-126276
Closed Access | Times Cited: 18
Improved energy balance calculation of unitary air conditioners via virtual in-situ calibration
Sungmin Yoon, Yuebin Yu, Haorong Li, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103464-103464
Closed Access | Times Cited: 21
Delta-T-based operational signatures for operation pattern and fault diagnosis of building energy systems
Taesung Lee, Sungmin Yoon, Kwanghee Won
Energy and Buildings (2021) Vol. 257, pp. 111769-111769
Closed Access | Times Cited: 21
In situ virtual sensors in building digital twins: framework and methodology
Sungmin Yoon, Youngwoong Choi, Jabeom Koo
Journal of Industrial Information Integration (2023) Vol. 36, pp. 100532-100532
Open Access | Times Cited: 8
In situ virtual sensing for dwelling infiltration rates in multi-unit residential buildings
Jiwon Kim, Sungmin Yoon, Jabeom Koo, et al.
Journal of Building Engineering (2023) Vol. 69, pp. 106225-106225
Closed Access | Times Cited: 7
LSTM Deep Learning Models for Virtual Sensing of Indoor Air Pollutants: A Feasible Alternative to Physical Sensors
Martin Gabriel, Thomas Auer
Buildings (2023) Vol. 13, Iss. 7, pp. 1684-1684
Open Access | Times Cited: 7
In-situ virtual heat flow meter model for monitoring heat flux of existing building envelope
Dong Eun Jung, Dae Hwan Shin, Ji-Hyun Seo, et al.
Building and Environment (2024) Vol. 253, pp. 111320-111320
Closed Access | Times Cited: 2
Electric load forecasting under false data injection attacks via denoising deep learning and generative adversarial networks
Fayezeh Mahmoudnezhad, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 2
Development of a soft sensor for thermal inertia-based building electrical demand flexibility
João Carlos Simões, Marta J.N. Oliveira Panão, Guilherme Carrilho da Graça
Energy and Buildings (2023) Vol. 295, pp. 113341-113341
Open Access | Times Cited: 5
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