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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 Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network
Congying Deng, Zihao Deng, Sheng Lu, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2542-2542
Open Access | Times Cited: 22

Showing 22 citing articles:

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
Andressa Borré, Laio Oriel Seman, Eduardo Camponogara, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4512-4512
Open Access | Times Cited: 49
Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels
Congying Deng, Zihao Deng, Jianguo Miao
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109740-109740
Closed Access | Times Cited: 23
Fault Diagnosis of the Rolling Bearing by a Multi-Task Deep Learning Method Based on a Classifier Generative Adversarial Network
Zhunan Shen, Xiangwei Kong, Liu Cheng, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1290-1290
Open Access | Times Cited: 4
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection
Seunghwan Song, Kyuchang Chang, Cheolsoon Park, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Intelligent fault diagnosis method of rolling bearing based on multi-source domain fast adversarial network
Daoming She, Hongfei Zhang, Wang Hu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056119-056119
Closed Access | Times Cited: 3
A novel data augmentation method for steering mechanism fault diagnosis based on variational autoencoding generative adversarial networks with self-attention
Tongfei Lei, Zeyu Pei, Feng Pan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055115-055115
Closed Access | Times Cited: 3
Voiceprint Fault Diagnosis of Converter Transformer under Load Influence Based on Multi-Strategy Improved Mel-Frequency Spectrum Coefficient and Temporal Convolutional Network
Hui Li, Q. Yao, Xin Li
Sensors (2024) Vol. 24, Iss. 3, pp. 757-757
Open Access | Times Cited: 2
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates
Jianguo Miao, Zihao Deng, Congying Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108499-108499
Closed Access | Times Cited: 2
Research on failure diagnosis analysis of plunger gas lift system using convolutional neural network with multi-scale channel attention mechanism based on wavelet transform
Haowen Shi, Yubin Su, Yuan Pan, et al.
Chemical Engineering Science (2024), pp. 121031-121031
Open Access | Times Cited: 2
A novel fault diagnosis method based on nonlinear-CWT and improved YOLOv8 for axial piston pump using output pressure signal
Shiqi Xia, Weidi Huang, Jie Zhang
Advanced Engineering Informatics (2024) Vol. 64, pp. 103041-103041
Closed Access | Times Cited: 2
Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition
Attiq Ur Rehman, Weidong Jiao, Jianfeng Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7109-7109
Open Access | Times Cited: 4
Motor Bearing Fault Diagnosis Based on Current Signal Using Time–Frequency Channel Attention
Zhiqiang Wang, Chao Guan, Shangru Shi, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 7, pp. 281-281
Open Access | Times Cited: 1
Simulation data-driven fault diagnosis method for metro traction motor bearings under small samples and missing fault samples
Kailin Bi, Aihua Liao, Dingyu Hu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 105117-105117
Closed Access | Times Cited: 1
A comprehensive fault detection and diagnosis method for chemical processes
Silin Rao, Jingtao Wang
Chemical Engineering Science (2024) Vol. 300, pp. 120565-120565
Closed Access | Times Cited: 1
Multi-device Collaborative Anomaly Diagnosis Method for Electric Mining Dump Trucks
Yichao Ma, Lei Wang, Benchao Zhu, et al.
Lecture notes in electrical engineering (2024), pp. 347-355
Closed Access
A multi-representation transfer adversarial network for intelligent fault diagnosis of rotating machinery
Hongfei Zhang, Daoming She, Wang Hu, et al.
Transactions of the Institute of Measurement and Control (2024) Vol. 46, Iss. 11, pp. 2211-2221
Closed Access
DeepGAN: Utilizing generative adversarial networks for improved deep learning
Edward Naveen, A Jenefa, Thiyagu T.M, et al.
International Journal of Knowledge-based and Intelligent Engineering Systems (2024), pp. 1-17
Closed Access
A Novel Bearing Fault Diagnosis Method Based on Wcdcgan with Cbam Attention Mechanism
Sen Zhang, Shenqiang Yan, Hao Wei, et al.
(2024)
Closed Access
Identification of weld defects from ultrasonic signals using GASF and an improved DCGAN-ResNet network
Yuan Chen, Hao Shen, Guangming Zhang, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-27
Closed Access
Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data
Seung-Hwan Choi, Dawn An, Inho Lee, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3750-3750
Open Access
Enhancing Fault Detection Using CHRRA-Unet and Focal Loss Functions for Imbalanced Data: A Case Study in Luoping County, Yunnan, China
Gong Cheng, Syed Fawad Hussain, Yingdong Yang, et al.
(2024)
Closed Access
Studies Conducting Concurrent Diagnosis of Bearings via Swin Transformer and VGG SENet
Yi Gong, Ruyue Gong
(2024), pp. 326-333
Closed Access
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