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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:

Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts
Cheng Fan, Yiwen Lin, Marco Savino Piscitelli, et al.
Building Simulation (2023) Vol. 16, Iss. 8, pp. 1499-1517
Closed Access | Times Cited: 19

Showing 19 citing articles:

Integrating active learning and semi-supervised learning for improved data-driven HVAC fault diagnosis performance
Cheng Fan, Qiuting Wu, Yang Zhao, et al.
Applied Energy (2023) Vol. 356, pp. 122356-122356
Closed Access | Times Cited: 19
Enabling efficient cross-building HVAC fault inferences through novel unsupervised domain adaptation methods
Yutian Lei, Cheng Fan, Haihui He, et al.
Building and Environment (2025), pp. 112678-112678
Closed Access
Model Interpretation and Interpretability Performance Evaluation of Graph Convolutional Network Fault Diagnosis for Air Handling Units
Guannan Li, Zhang Le, Lingzhi Yang, et al.
Journal of Building Engineering (2025), pp. 112048-112048
Closed Access
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
Advance and prospect of machine learning based fault detection and diagnosis in air conditioning systems
Yabin Guo, Yaxin Liu, Yuhua Wang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 205, pp. 114853-114853
Closed Access | Times Cited: 3
Sensor fault diagnosis and correction for data center cooling system using hybrid multi-label random Forest and Bayesian Inference
Jiaqiang Wang, Yaoyue Tian, Zhaohui Qi, et al.
Building and Environment (2023) Vol. 249, pp. 111124-111124
Closed Access | Times Cited: 8
Effects of various information scenarios on layer-wise relevance propagation-based interpretable convolutional neural networks for air handling unit fault diagnosis
Chenglong Xiong, Guannan Li, Ying Yan, et al.
Building Simulation (2024) Vol. 17, Iss. 10, pp. 1709-1730
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
Adaptive Fusion Graph Convolutional Networks Based Interpretable Fault Diagnosis Method for HVAC Systems Enhanced by Unlabeled Data
Qiao Deng, Zhiwen Chen, Wanting Zhu, et al.
Energy and Buildings (2024) Vol. 324, pp. 114901-114901
Closed Access | Times Cited: 1
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Shengze Lu, Shiyu Zhou, Yan Ding, et al.
Results in Engineering (2024), pp. 103765-103765
Open Access | Times Cited: 1
Extraction method of typical IEQ spatial distributions based on low-rank sparse representation and multi-step clustering
Yuren Yang, Geng Yang, Hao Tang, et al.
Building Simulation (2024) Vol. 17, Iss. 6, pp. 983-1006
Closed Access | Times Cited: 1
Interpretable data-driven fault diagnosis method for data centers with composite air conditioning system
Yiqi Zhang, Fumin Tao, Baoqi Qiu, et al.
Building Simulation (2024) Vol. 17, Iss. 6, pp. 965-981
Closed Access | Times Cited: 1
A performance prediction method for on-site chillers based on dynamic graph convolutional network enhanced by association rules
Qiao Deng, Zhiwen Chen, Wanting Zhu, et al.
Building Simulation (2024) Vol. 17, Iss. 7, pp. 1213-1229
Closed Access | Times Cited: 1
Graph Neural Networks for building and civil infrastructure operation and maintenance enhancement
Sajith Wettewa, Lei Hou, Guomin Zhang
Advanced Engineering Informatics (2024) Vol. 62, pp. 102868-102868
Open Access | Times Cited: 1
An Improved Graph Deviation Network for Chiller Fault Diagnosis by Integrating the Sparse Cointegration Analysis and the Convolutional Block Attention Mechanism
Bingxu Sun, Dekuan Liang, Hanyuan Zhang
Energies (2024) Vol. 17, Iss. 16, pp. 4003-4003
Open Access
Unsupervised anomaly detection of industrial building energy consumption
Yi Song, Sennan Kuang, Junling Huang, et al.
Energy and Built Environment (2024)
Open Access
Overview on Fault Detection and Diagnosis Methods in Building HVAC Systems: Toward a Hybrid Approach
Marco Savino Piscitelli, Armin Hooman, Antonio Rosato, et al.
Smart innovation, systems and technologies (2024), pp. 709-719
Closed Access
Generation Method for HVAC Systems Design Schemes in Office Buildings Based on Deep Graph Generative Models
Hongxin Wang, Ruiying Jin, Peng Xu, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3405-3405
Open Access
Efficient feature selection for enhanced chiller fault diagnosis: A multi-source ranking information-driven ensemble approach
Zhanwei Wang, Penghua Xia, Jingjing Guo, et al.
Building Simulation (2024)
Closed Access
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