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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 1-25 of 46 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
Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine
Hanyuan Zhang, Wenxin Yang, Weilin Yi, et al.
Journal of Building Engineering (2023) Vol. 70, pp. 106338-106338
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
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 hybrid forecasting method for cooling load in large public buildings based on improved long short term memory
Zongyi Liu, Junqi Yu, Chunyong Feng, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107238-107238
Closed Access | Times Cited: 25
An improved feature-time Transformer encoder-Bi-LSTM for short-term forecasting of user-level integrated energy loads
Yan Qin, Zhiying Lu, Hong Liu, et al.
Energy and Buildings (2023) Vol. 297, pp. 113396-113396
Closed Access | Times Cited: 22
Highly imbalanced fault classification of wind turbines using data resampling and hybrid ensemble method approach
Subhajit Chatterjee, Yung-Cheol Byun
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107104-107104
Closed Access | Times Cited: 21
A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107973-107973
Closed Access | Times Cited: 11
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
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
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
The Bearing Faults Detection Methods for Electrical Machines—The State of the Art
Muhammad Amir Khan, Bilal Asad, Karolina Kudelina, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 296-296
Open Access | Times Cited: 32
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
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
Reduction of electricity consumption in an AHU using mathematical modelling for controller tuning
Carlos Alberto García Vázquez, Daniel Tudor Cotfas, Ana Isabel González Santos, et al.
Energy (2024) Vol. 293, pp. 130619-130619
Closed Access | Times Cited: 6
Fault diagnosis method for hydropower unit via the incorporation of chaotic quadratic interpolation optimized deep learning model
Fang Dao, Yun Zeng, Yidong Zou, et al.
Measurement (2024) Vol. 237, pp. 115199-115199
Closed Access | Times Cited: 6
Data and knowledge fusion-driven Bayesian networks for interpretable fault diagnosis of HVAC systems
Daibiao Wu, Haidong Yang, Kangkang Xu, et al.
International Journal of Refrigeration (2024) Vol. 161, pp. 101-112
Closed Access | Times Cited: 5
Machine Learning Applications in Building Energy Systems: Review and Prospects
D. Li, Zhenzhen Qi, Yiming Zhou, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 648-648
Open Access
A metro train air conditioning system fault diagnosis method based on explainable artificial intelligence: Considering interpretability and generalization
Minhui Jiang, Huanxin Chen, Chuang Yang
International Journal of Refrigeration (2025)
Closed Access
A hybrid error correction method based on EEMD and ConvLSTM for offshore wind power forecasting
Lokmene Melalkia, Farid Berrezzek, Khaled Khelil, et al.
Ocean Engineering (2025) Vol. 325, pp. 120773-120773
Closed Access
A multimode data reconciliation method for wastewater treatment processes
Wenting Li, Chunhua Yang, Zhenxiang Feng, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107420-107420
Closed Access
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: 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
Diagnosis of single and multiple-source faults of chiller sensors using EWEEMD-ICKNN by time sequence denoising and non-Gaussian distribution feature extraction
Boyan Zhang, Peng Wang, Guangyu Liu, et al.
Energy and Buildings (2023) Vol. 298, pp. 113572-113572
Closed Access | Times Cited: 12
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