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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:

A novel building heat pump system semi-supervised fault detection and diagnosis method under small and imbalanced data
Jianxin Zhang, Yuanyi Xu, Huanxin Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106316-106316
Closed Access | Times Cited: 24

Showing 24 citing articles:

End-to-end residual learning embedded ACWGAN for AHU FDD with limited fault data
Jian Bi, Ke Yan, Yang Du
Building and Environment (2025) Vol. 270, pp. 112529-112529
Closed Access | Times Cited: 1
Novel transformer-based self-supervised learning methods for improved HVAC fault diagnosis performance with limited labeled data
Cheng Fan, Yutian Lei, Yongjun Sun, et al.
Energy (2023) Vol. 278, pp. 127972-127972
Closed Access | Times Cited: 21
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions
Yadong Xu, Sheng Li, Xiaoan Yan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 8
Chiller fault diagnosis based on improved variational autoencoder and co-training framework: A case study of insufficient samples
Cheng Lu, Xiang Ma, Ke Yan
Journal of Building Engineering (2024) Vol. 88, pp. 109137-109137
Closed Access | Times Cited: 7
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
Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning
Ke Yan, Cheng Lu, Xiang Ma, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122545-122545
Closed Access | Times Cited: 17
Research on fault detection and diagnosis of carbon dioxide heat pump systems in buildings based on transfer learning
Yabin Guo, Yaxin Liu, Zheng Zhang, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108774-108774
Closed Access | Times Cited: 6
Class-overlap detection based on heterogeneous clustering ensemble for multi-class imbalance problem
Qi Dai, Long-hui Wang, Kai-long Xu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124558-124558
Closed Access | Times Cited: 6
Feature selection for chillers fault diagnosis from the perspectives of machine learning and field application
Zhanwei Wang, Jingjing Guo, Penghua Xia, et al.
Energy and Buildings (2024) Vol. 307, pp. 113937-113937
Closed Access | Times Cited: 5
Development of a domain adversarial fault diagnosis model for information poor variable refrigerant flow systems based on transfer learning
Cun Liu, Yuanyi Xu, Huanxin Chen, et al.
Journal of Building Engineering (2025), pp. 111917-111917
Closed Access
A Transformer-based self-supervised learning model for fault diagnosis of air-conditioning systems with limited labeled data
Hua Mei, Ke Yan, Xin Li
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110331-110331
Closed Access
Research on label propagation based on clustering and semi-supervised learning under limited fault data of air conditioning system
Yabin Guo, Congcong Du, Xin Liu, et al.
International Journal of Refrigeration (2025)
Closed Access
Transformer encoder based self-supervised learning for HVAC fault detection with unlabeled data
Mohammad Abdollah Fadel Abdollah, Rossano Scoccia, Marcello Aprile
Building and Environment (2024) Vol. 258, pp. 111568-111568
Open Access | Times Cited: 4
SS-CWGAN: A novel fault diagnosis model for building HVAC systems under limited labeled data
Hua Mei, Ke Yan, Jian Bi, et al.
Energy and Buildings (2024) Vol. 319, pp. 114540-114540
Closed Access | Times Cited: 3
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
Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning
Nestor Rendon, Jhony H. Giraldo, Thierry Bouwmans, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106635-106635
Open Access | Times Cited: 7
Semi-supervised CWGAN-GP modeling for AHU AFDD with high-quality synthetic data filtering mechanism
Hua Wang, Jian Bi, Hua Mei, et al.
Building and Environment (2024) Vol. 267, pp. 112265-112265
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
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
Margin-Maximized Hyperspace for Fault Detection and Prediction: A Case Study With an Elevator Door
Minjae Kim, Seho Son, Ki‐Yong Oh
IEEE Access (2023) Vol. 11, pp. 128580-128595
Open Access | Times Cited: 6
Data-Driven Fault Detection in Reciprocating Compressors: A Method Based on PCA and GLRT
Mauricio Cabrera, Diego Cabrera, Mariela Cerrada, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 8, pp. 264-269
Open Access
A mechanical fault diagnosis model with semi-supervised variational autoencoder based on long short-term memory network
Yuanyuan Qu, Tao Li, Shichen Fu, et al.
Nonlinear Dynamics (2024)
Closed Access
Fault Diagnosis and Cause Analysis Using Dynamic Adaptive Fuzzy Petri Nets
Hua Shi, Hu‐Chen Liu
(2023), pp. 377-390
Closed Access
Transformer Encoder Based Self-Supervised Learning for Hvac Fault Detection and Diagnostics with Unlabeled Data: A Case Study
Mohammad Abdollah Fadel Abdollah, Rossano Scoccia, Marcello Aprile
(2023)
Closed Access
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