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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:

Fault detection and diagnosis of the air handling unit via combining the feature sparse representation based dynamic SFA and the LSTM network
Hanyuan Zhang, Chengdong Li, Qinglai Wei, et al.
Energy and Buildings (2022) Vol. 269, pp. 112241-112241
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

A machine learning framework for detection and severity estimation of faults for chillers and air handling units in HVAC systems
Ramnath V. Prabhu Bam, Rajesh S. Prabhu Gaonkar, Clint P. George
Energy and Buildings (2024) Vol. 313, pp. 114235-114235
Closed Access | Times Cited: 4
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
Multi-scale adaptive multivariate state estimation fault detection enhancement for time-varying industrial system based on multi-output Gaussian process autoregression
Yan Liu, Zuhua Xu, Jun Zhao, et al.
Computers & Industrial Engineering (2023) Vol. 183, pp. 109502-109502
Closed Access | Times Cited: 9
Handling fault detection and diagnosis in incomplete sensor measurements for BAS based HVAC system
Tianyi Zhao, Boyan Zhang, Muyan Li, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108098-108098
Closed Access | Times Cited: 9
Unsupervised outlier detection using neural network-based mixtures of probabilistic principal component analyzers for building chiller fault diagnosis
Viet Tra, Manar Amayri, Nizar Bouguila
Building and Environment (2022) Vol. 225, pp. 109620-109620
Closed Access | Times Cited: 14
Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling technique
Noor Afshan, Zohaib Mushtaq, Faten S. Alamri, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 24274-24309
Open Access | Times Cited: 7
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
Fault detection research on novel transfer learning-based method for cross-condition, cross-system and cross-operation in public building HVAC sensors
Boyan Zhang, Yacine Rezgui, Zhiwen Luo, et al.
Energy (2024) Vol. 313, pp. 133704-133704
Closed Access | Times Cited: 2
Wastewater treatment monitoring: Fault detection in sensors using transductive learning and improved reinforcement learning
Jing Yang, Ke Tian, Huayu Zhao, et al.
Expert Systems with Applications (2024), pp. 125805-125805
Closed Access | Times Cited: 2
Deep learning GAN-based fault detection and diagnosis method for building air-conditioning systems
Haitao Wang, N. Zhou, Yanyan Chen, et al.
Sustainable Cities and Society (2024), pp. 106068-106068
Closed Access | Times Cited: 2
The combination model of CNN and GCN for machine fault diagnosis
Qianqian Zhang, Caiyun Hao, Zhongwei Lv, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292381-e0292381
Open Access | Times Cited: 5
Optimal Configuration Method for Multi-Type Reactive Power Compensation Devices in Regional Power Grid with High Proportion of Wind Power
Ying Wang, Jie Dang, Cangbi Ding, et al.
Energy Engineering (2024) Vol. 121, Iss. 11, pp. 3331-3353
Open Access | Times Cited: 1
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data
Mohammadreza Naderi, Nader Karimi, Ali Emami, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104877-104877
Closed Access | Times Cited: 4
Incipient fault detection enhancement based on spatial-temporal multi-mode siamese feature contrast learning for industrial dynamic process
Yan Liu, Zuhua Xu, Kai Wang, et al.
Computers in Industry (2023) Vol. 155, pp. 104062-104062
Closed Access | Times Cited: 3
Enhancing Fault Detection and Diagnosis in AHU Using Explainable AI
Prasad Devkar, G. Venkatarathnam
Smart innovation, systems and technologies (2024), pp. 131-142
Closed Access
FCAN : Speech emotion recognition network based on focused contrastive learning
Hong Suk Kang, Yunfeng Xu, Guowei Jin, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106545-106545
Closed Access
Multi-sensor fault detection and correction for automated IAQ monitoring in smart buildings through attention-aware autoencoders with spatial prediction module
Shahzeb Tariq, Jorge Loy-Benitez, ChangKyoo Yoo
Journal of Building Engineering (2024) Vol. 96, pp. 110573-110573
Closed Access
Fault Diagnosis of the Chiller Under Imbalanced Data Environment via Combining an Improved GAN and the Random Forest Algorithm
Wenxin Yang, Hanyuan Zhang, Jit Bing Lim
2021 China Automation Congress (CAC) (2023)
Closed Access | Times Cited: 1
A slow feature based LSTM network for susceptibility assessment of acute mountain sickness with heterogeneous data
Lei Wang, Rong Xiao, Jing Chen, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104355-104355
Closed Access | Times Cited: 2
Automatic fault detection and diagnosis in refrigeration systems, A data-driven approach
Zahra Soltani
(2023)
Open Access
A Novel Kernel Canonical Variable Analysis Method for the AHU Fault Detection Based on the Multi-Batch Running Datasets
Jit Bing Lim, Hanyuan Zhang, Wenxin Yang
2021 China Automation Congress (CAC) (2023), pp. 7396-7401
Closed Access
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