Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 study on semi-supervised learning in enhancing performance of AHU unseen fault detection with limited labeled data
Cheng Fan, Yichen Liu, Xuyuan Liu, et al.
Sustainable Cities and Society (2021) Vol. 70, pp. 102874-102874
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 272
A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems
Jianli Chen, Liang Zhang, Yanfei Li, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 161, pp. 112395-112395
Open Access | Times Cited: 109
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 42
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Guannan Li, Liang Chen, Jiangyan Liu, et al.
Energy (2022) Vol. 263, pp. 125943-125943
Closed Access | Times Cited: 60
Autoencoder-driven fault detection and diagnosis in building automation systems: Residual-based and latent space-based approaches
Youngwoong Choi, Sungmin Yoon
Building and Environment (2021) Vol. 203, pp. 108066-108066
Closed Access | Times Cited: 59
A novel image-based transfer learning framework for cross-domain HVAC fault diagnosis: From multi-source data integration to knowledge sharing strategies
Cheng Fan, Weilin He, Yichen Liu, et al.
Energy and Buildings (2022) Vol. 262, pp. 111995-111995
Closed Access | Times Cited: 59
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
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: 23
AHU sensor fault diagnosis in various operating conditions based on a hybrid data-driven model combined energy consumption
Boyan Zhang, Peng Wang, Guangyu Liu, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 109028-109028
Closed Access | Times Cited: 10
A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions
Cheng Fan, Meiling Chen, Rui Tang, et al.
Building Simulation (2021) Vol. 15, Iss. 2, pp. 197-211
Closed Access | Times Cited: 47
Fault detection and diagnosis for chiller based on feature-recognition model and Kernel Discriminant Analysis
Xi Bai, Muxing Zhang, Zhenghao Jin, et al.
Sustainable Cities and Society (2022) Vol. 79, pp. 103708-103708
Closed Access | Times Cited: 33
A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems
Iva Matetić, Ivan Štajduhar, Igor Wolf, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 1-1
Open Access | Times Cited: 29
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: 20
Experimental study on performance assessments of HVAC cross-domain fault diagnosis methods oriented to incomplete data problems
Qiang Zhang, Zhe Tian, Yakai Lu, et al.
Building and Environment (2023) Vol. 236, pp. 110264-110264
Closed Access | Times Cited: 19
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
A district-scale spatial distribution evaluation method of rooftop solar energy potential based on deep learning
Guannan Li, Zixi Wang, Chengliang Xu, et al.
Solar Energy (2023) Vol. 268, pp. 112282-112282
Closed Access | Times Cited: 17
Personalized federated learning for cross-building energy knowledge sharing: Cost-effective strategies and model architectures
Cheng Fan, Ruikun Chen, Jinhan Mo, et al.
Applied Energy (2024) Vol. 362, pp. 123016-123016
Closed Access | Times Cited: 6
Computer-aided molecular design of solvents for chemical separation processes
Shiyang Chai, Zhen Song, Teng Zhou, et al.
Current Opinion in Chemical Engineering (2021) Vol. 35, pp. 100732-100732
Closed Access | Times Cited: 39
Development of Anomaly Detectors for HVAC Systems Using Machine Learning
Davide Borda, Mattia Bergagio, Massimo Amerio, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 535-535
Open Access | Times Cited: 16
Similarity learning-based fault detection and diagnosis in building HVAC systems with limited labeled data
Zhe Chen, Fu Xiao, Fangzhou Guo
Renewable and Sustainable Energy Reviews (2023) Vol. 185, pp. 113612-113612
Closed Access | Times Cited: 16
A study on transfer learning in enhancing performance of building energy system fault diagnosis with extremely limited labeled data
Qiang Zhang, Zhe Tian, Jide Niu, et al.
Building and Environment (2022) Vol. 225, pp. 109641-109641
Closed Access | Times Cited: 20
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
Depth-Oriented Gray Image for Unseen Pig Detection in Real Time
Jongwoong Seo, Seungwook Son, Seunghyun Yu, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 988-988
Open Access
Study on enhanced fault diagnosis of chiller units in HVAC systems under the imbalanced data environment using GA-Optimized LightGBM
Manfeng Li, Tao Hai, Mengke Liu, et al.
Energy and Buildings (2025), pp. 115360-115360
Closed Access
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
Page 1 - Next Page

Scroll to top