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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:

Novel application of multi-model ensemble learning for fault diagnosis in refrigeration systems
Zhan Zhang, Hua Han, Xiaoyu Cui, et al.
Applied Thermal Engineering (2019) Vol. 164, pp. 114516-114516
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance
Haidong Shao, Jing Lin, Liangwei Zhang, et al.
Information Fusion (2021) Vol. 74, pp. 65-76
Closed Access | Times Cited: 221
Simulation of multi-species flow and heat transfer using physics-informed neural networks
Ryno Laubscher
Physics of Fluids (2021) Vol. 33, Iss. 8
Open Access | Times Cited: 118
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: 105
A novel semi-supervised data-driven method for chiller fault diagnosis with unlabeled data
Bingxu Li, Fanyong Cheng, Xin Zhang, et al.
Applied Energy (2021) Vol. 285, pp. 116459-116459
Open Access | Times Cited: 92
An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems
Khaled Dhibi, Majdi Mansouri, Kais Bouzrara, et al.
IEEE Access (2021) Vol. 9, pp. 155622-155633
Open Access | Times Cited: 56
Fault detection and diagnosis using tree-based ensemble learning methods and multivariate control charts for centrifugal chillers
Wanli Yao, Donghui Li, Long Gao
Journal of Building Engineering (2022) Vol. 51, pp. 104243-104243
Closed Access | Times Cited: 48
An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion
Zifei Xu, Musa Bashir, Wanfu Zhang, et al.
Information Fusion (2022) Vol. 86-87, pp. 17-29
Open Access | Times Cited: 48
Ensemble deep learning in speech signal tasks: A review
M. Tanveer, Aryan Rastogi, Vardhan Paliwal, et al.
Neurocomputing (2023) Vol. 550, pp. 126436-126436
Closed Access | Times Cited: 23
An improved stacking ensemble learning-based sensor fault detection method for building energy systems using fault-discrimination information
Guannan Li, Yue Zheng, Jiangyan Liu, et al.
Journal of Building Engineering (2021) Vol. 43, pp. 102812-102812
Closed Access | Times Cited: 52
Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems
Khaled Dhibi, Majdi Mansouri, Kais Bouzrara, et al.
Renewable Energy (2022) Vol. 194, pp. 778-787
Open Access | Times Cited: 32
Knowledge mining for chiller faults based on explanation of data-driven diagnosis
Yu Gao, Hua Han, Hailong Lu, et al.
Applied Thermal Engineering (2022) Vol. 205, pp. 118032-118032
Closed Access | Times Cited: 27
Refrigerant charge fault diagnosis strategy for VRF systems based on stacking ensemble learning
Li Zhang, Yahao Cheng, Jianxin Zhang, et al.
Building and Environment (2023) Vol. 234, pp. 110209-110209
Closed Access | Times Cited: 20
Automated Battery Making Fault Classification Using Over-Sampled Image Data CNN Features
Nasir Ud Din, Li Zhang, Yatao Yang
Sensors (2023) Vol. 23, Iss. 4, pp. 1927-1927
Open Access | Times Cited: 16
Intelligent Fault Diagnosis of Bearings Driven by Double-level Data Fusion Based on Multichannel Sample Fusion and Feature Fusion under Time-Varying Speed Conditions
Zhongwei Zhang, Zonghao Jiao, Youjia Li, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110362-110362
Closed Access | Times Cited: 7
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
Real-time pavement temperature prediction through ensemble machine learning
Yared Bitew Kebede, Ming‐Der Yang, Chien-Wei Huang
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108870-108870
Open Access | Times Cited: 5
Fault diagnosis of multi-step electromagnetic hydraulic valve group based on localized current signal CS-SVM
D.L. Ma, Zhihao Liu, Qunyi Gao, et al.
Measurement (2025) Vol. 245, pp. 116632-116632
Closed Access
A New Convolutional Neural Network With Random Forest Method for Hydrogen Sensor Fault Diagnosis
Yongyi Sun, Hongquan Zhang, Tingting Zhao, et al.
IEEE Access (2020) Vol. 8, pp. 85421-85430
Open Access | Times Cited: 49
Early diagnosis of bearing faults using decomposition and reconstruction stochastic resonance system
Shan Wang, Pingjuan Niu, Yongfeng Guo, et al.
Measurement (2020) Vol. 158, pp. 107709-107709
Closed Access | Times Cited: 35
Ensemble deep transfer learning driven by multisensor signals for the fault diagnosis of bevel-gear cross-operation conditions
ZiYang Di, Haidong Shao, Jiawei Xiang
Science China Technological Sciences (2020) Vol. 64, Iss. 3, pp. 481-492
Closed Access | Times Cited: 34
Ensemble learning with diversified base models for fault diagnosis in nuclear power plants
Jiangkuan Li, Meng Lin
Annals of Nuclear Energy (2021) Vol. 158, pp. 108265-108265
Closed Access | Times Cited: 27
Impacts of data uncertainty on the performance of data-driven-based building fault diagnosis
Xin Li, Jiangyan Liu, Bin Liu, et al.
Journal of Building Engineering (2021) Vol. 43, pp. 103153-103153
Closed Access | Times Cited: 27
Application of generative deep learning to predict temperature, flow and species distributions using simulation data of a methane combustor
Ryno Laubscher, Pieter Rousseau
International Journal of Heat and Mass Transfer (2020) Vol. 163, pp. 120417-120417
Closed Access | Times Cited: 28
Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0
Vaia Rousopoulou, Alexandros Nizamis, Thanasis Vafeiadis, et al.
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 28
Anomaly detection method of daily energy consumption patterns for central air conditioning systems
Xuan Zhou, Tao Yang, Liequan Liang, et al.
Journal of Building Engineering (2021) Vol. 38, pp. 102179-102179
Closed Access | Times Cited: 26
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