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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:

An effective zero-shot learning approach for intelligent fault detection using 1D CNN
Siyu Zhang, Hua‐Liang Wei, Jinliang Ding
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 16041-16058
Open Access | Times Cited: 24

Showing 24 citing articles:

A novel mechanical fault diagnosis for high-voltage circuit breakers with zero-shot learning
Qiuyu Yang, Yuxiang Liao
Expert Systems with Applications (2024) Vol. 245, pp. 123133-123133
Closed Access | Times Cited: 14
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto
Processes (2024) Vol. 12, Iss. 2, pp. 251-251
Open Access | Times Cited: 11
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
A novel method for detecting bearing faults in induction motors using acoustic sensors and feature engineering
Yuri P. Bórnea, Avyner L. O. Vitor, Alessandro Goedtel, et al.
Applied Acoustics (2025) Vol. 234, pp. 110627-110627
Closed Access
Aircraft Engine Fault Diagnosis Model Based on 1DCNN-BiLSTM with CBAM
Jiaju Wu, Linggang Kong, Shijia Kang, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 780-780
Open Access | Times Cited: 4
GRU‐based stacked sparse autoencoder with attention mechanism for process monitoring
Zhiwei Miao, Ping Wu, Zhenquan Wu, et al.
The Canadian Journal of Chemical Engineering (2025)
Closed Access
Multi-Harmonic Nonlinear Ultrasonic Fusion with Deep Learning for Subtle Parameter Identification of Micro-Crack Groups
Lin Qi, Xiaoyang Bi, Xiangyan Ding, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1152-1152
Open Access
A hybrid semantic attribute-based zero-shot learning model for bearing fault diagnosis under unknown working conditions
Zhiwu Shang, Lutai Tang, Cailu Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109020-109020
Closed Access | Times Cited: 3
Category-tree-guided hierarchical knowledge transfer framework for zero-shot fault diagnosis
Baolin Zhang, Jiancheng Zhao, Xu Chen, et al.
Journal of Process Control (2024) Vol. 141, pp. 103267-103267
Closed Access | Times Cited: 2
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
UnseenSignalTFG: a signal-level expansion method for unseen acoustic data based on transfer learning
Xiaoying Pan, Jia Sun, Mingzhu Lei, et al.
Applied Intelligence (2024) Vol. 54, Iss. 13-14, pp. 7317-7351
Closed Access | Times Cited: 1
An Effective Zero-Shot Learning Method for Event Classification in Φ-OTDR Sensing Systems
Xing Hu, Hepeng Dong, Yong Kong, et al.
Optics Express (2024) Vol. 32, Iss. 20, pp. 35495-35495
Open Access | Times Cited: 1
Sensor- and Data-Supported Sustainable Manufacturing
Jürgen Fleischer, Malte Hansjosten, Julia Sawodny, et al.
Elsevier eBooks (2024), pp. 648-662
Closed Access
A Generative Model for Zero-Shot Learnning Fault Diagnosis of Rolling Bearings
Wenmiao Liu, Yongting Li, Ran Ma, et al.
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) (2024), pp. 1214-1219
Closed Access
A Zero-Shot Learning Approach for Blockage Detection and Identification Based on the Stacking Ensemble Model
Chaoqun Li, Zao Feng, Mingkai Jiang, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5596-5596
Open Access
Design and Simulation of Short Circuit Fault Detection in DC Power Supply using Daubechies Wavelet and Convolutional Neural Networks
Ralph Laurence G. Visaya, Ralph Gerard B. Sangalang
(2024) Vol. 53, pp. 151-156
Closed Access
Beyond Seen Faults: Zero-Shot Diagnosis of Power Circuit Breakers Using Symptom Description Transfer
Qiuyu Yang, Zhenlin Zhai, Yuyi Lin, et al.
ISA Transactions (2024)
Closed Access
Generalized zero-sample industrial fault diagnosis with domain bias
Li Cai, Xuanhong Deng, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110571-110571
Closed Access
Predicting and monitoring faults in intricate processes through the utilization of an ensemble of machine learning regression models: a case study on the Tennessee Eastman Process
Wail Rezgui, Nafissa Rezki, Slimane Kerrouchi
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 2, pp. e10710-e10710
Open Access
Fine-Grained Fault Diagnosis of Photovoltaic Systems Based on DMAD-GAN and IFD-FGIF
Juanjuan Qiao, Yongsheng Qi, Liqiang Liu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016237-016237
Closed Access
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Yi Liu, Jiajun Huang, Mingwei Jia
Advanced Intelligent Systems (2024)
Open Access
1-D multi-channel CNN with transfer functions for inverse electromagnetic behaviors modeling and design optimization of high-dimensional filters
Yimin Ren, Xiaojiao Deng, Zhengyang You, et al.
Applied Intelligence (2023)
Closed Access | Times Cited: 1
Multi-Label Zero-Shot Learning for Industrial Fault Diagnosis
Jian Li, Haojin Tang, Dong Tang, et al.
(2023), pp. 1235-1240
Closed Access | Times Cited: 1
Zero-Shot Fault Detection for Manipulators Through Bayesian Inverse Reinforcement Learning
Hanqing Zhao, Xue Liu, Gregory Dudek
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 3582-3589
Closed Access
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