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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:

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

Showing 1-25 of 43 citing articles:

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
A new chiller fault diagnosis method under the imbalanced data environment via combining an improved generative adversarial network with an enhanced deep extreme learning machine
Wenxin Yang, Hanyuan Zhang, Jit Bing Lim, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109218-109218
Closed Access | Times Cited: 16
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
How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method
Yuan Gao, Shohei Miyata, Yasunori Akashi
Applied Energy (2023) Vol. 348, pp. 121591-121591
Closed Access | Times Cited: 25
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
Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network
Rouhui Wu, Yizhu Ren, Mengying Tan, et al.
Building Simulation (2024) Vol. 17, Iss. 3, pp. 371-386
Closed Access | Times Cited: 8
A novel global modelling strategy integrated dynamic kernel canonical variate analysis for the air handling unit fault detection via considering the two-directional dynamics
Hanyuan Zhang, Yuyu Zhang, Huanhuan Meng, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110402-110402
Closed Access | Times Cited: 8
Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning
Guannan Li, Liang Chen, Cheng Fan, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121549-121549
Closed Access | Times Cited: 16
Experimental verification of the novel transcritical CO2 heat pump system and model evaluation method
Xiang Qin, Aoqi Shen, Hongxin Duan, et al.
Renewable Energy (2024) Vol. 222, pp. 119936-119936
Closed Access | Times Cited: 6
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
A Fault Diagnosis Method for Chillers under Mixed Fault Level Scenarios
Xuejin Gao, Zhiyuan Zhang, Huayun Han, et al.
Journal of Building Engineering (2025), pp. 112047-112047
Closed Access
Interpretable quadratic convolutional residual neural network for bearing fault diagnosis
Zhiyong Luo, Shuping Pan, Xin Dong, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 4
Closed Access
Energy processes prediction by a convolutional radial basis function network
José de Jesús Rubio, D.L Quiroz García, Humberto Sossa, et al.
Energy (2023) Vol. 284, pp. 128470-128470
Closed Access | Times Cited: 13
The impact of improved PCA method based on anomaly detection on chiller sensor fault detection
Aosong Liang, Yunpeng Hu, Guannan Li
International Journal of Refrigeration (2023) Vol. 155, pp. 184-194
Closed Access | Times Cited: 13
Fault detection and diagnosis of energy system based on deep learning image recognition model under the condition of imbalanced samples
Yingjun Ruan, Minghua Zheng, Fanyue Qian, et al.
Applied Thermal Engineering (2023) Vol. 238, pp. 122051-122051
Closed Access | Times Cited: 13
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
An enhanced feature extraction based long short-term memory neural network for wind power forecasting via considering the missing data reconstruction
Zheng Xin, Xingran Liu, Hanyuan Zhang, et al.
Energy Reports (2023) Vol. 11, pp. 97-114
Open Access | Times Cited: 12
Performance assessment of cross office building energy prediction in the same region using the domain adversarial transfer learning strategy
Guannan Li, Zixi Wang, Jiajia Gao, et al.
Applied Thermal Engineering (2024) Vol. 241, pp. 122357-122357
Closed Access | Times Cited: 4
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
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
A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement
Yanhua Guo, Ningbo Wang, Shuangquan Shao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114804-114804
Closed Access | Times Cited: 4
Energy-saving control method for NH3-CO2 cascade refrigeration system by directly regulating slide valve position in twin-screw compressor
Yiwei Feng, Jianguo Shu, Chuang Wang, et al.
Applied Thermal Engineering (2023) Vol. 239, pp. 122116-122116
Closed Access | Times Cited: 11
Fault detection, diagnosis and calibration of heating, ventilation and air conditioning sensors by combining principal component analysis and improved bayesian inference
Guannan Li, Chenglong Xiong, Jiajia Gao, et al.
Journal of Building Engineering (2023) Vol. 82, pp. 108230-108230
Closed Access | Times Cited: 11
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
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