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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 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: 57

Showing 1-25 of 57 citing articles:

Interpretation of convolutional neural network-based building HVAC fault diagnosis model using improved layer-wise relevance propagation
Guannan Li, Luhan Wang, Limei Shen, et al.
Energy and Buildings (2023) Vol. 286, pp. 112949-112949
Closed Access | Times Cited: 43
AI in HVAC fault detection and diagnosis: A systematic review
Jian Bi, Hua Wang, Enbo Yan, et al.
Energy Reviews (2024) Vol. 3, Iss. 2, pp. 100071-100071
Open Access | Times Cited: 23
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: 58
A comprehensive review of the applications of machine learning for HVAC
Siyang Zhou, A.A. Shah, Puiki Leung, et al.
DeCarbon (2023) Vol. 2, pp. 100023-100023
Open Access | Times Cited: 37
Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis
Fan Zhang, Nausheen Saeed, Paria Sadeghian
Energy and AI (2023) Vol. 12, pp. 100235-100235
Open Access | Times Cited: 32
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
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
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: 8
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
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
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
Fault data seasonal imbalance and insufficiency impacts on data-driven heating, ventilation and air-conditioning fault detection and diagnosis performances for energy-efficient building operations
Fangliang Zhong, John Kaiser Calautit, Yupeng Wu
Energy (2023) Vol. 282, pp. 128180-128180
Open Access | Times Cited: 17
A Modified Transformer and Adapter-based Transfer Learning for Fault Detection and Diagnosis in HVAC systems
Zicheng Wang, Dong Li, Zhan-Wei Cao, et al.
Energy Storage and Saving (2024) Vol. 3, Iss. 2, pp. 96-105
Open Access | Times Cited: 6
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: 5
Single imbalanced domain generalization network for intelligent fault diagnosis of compressors in HVAC systems under unseen working conditions
H. Wang, Jun Lin, Zijun Zhang
Energy and Buildings (2024) Vol. 312, pp. 114192-114192
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
Unsupervised Domain Adaptation for Hvac Fault Diagnosis Using Contrastive Adaptation Network
Naghmeh Ghalamsiah, Jin Wen, K. Selçuk Candan, et al.
(2025)
Closed Access
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
AHU fault diagnosis strategy using transfer learning based on similarity measurement
Yongkang Deng, Hua Meng, Yingjun Ruan, et al.
Science and Technology for the Built Environment (2025), pp. 1-20
Closed Access
Non-parametric semi-supervised chiller fault diagnosis via variational compressor under severe few labeled samples
Huazheng Han, Xuejin Gao, Huayun Han, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110233-110233
Closed Access
Accuracy, generalizability, and extrapolation ability of physics-based, data-driven, and hybrid models for real-life cooling towers
Jin‐Hong Kim, Young Sub Kim, Hyunji Jo, et al.
Building and Environment (2025), pp. 112756-112756
Closed Access
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
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
Heterogeneous data integration: Challenges and opportunities
I Made Putrama, Péter Martinek
Data in Brief (2024) Vol. 56, pp. 110853-110853
Open Access | Times Cited: 4
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
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