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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:

Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises
Shen Yan, Haidong Shao, Yiming Xiao, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 79, pp. 102441-102441
Open Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network
Xingkai Chen, Haidong Shao, Yiming Xiao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110427-110427
Open Access | Times Cited: 151
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Ke Zhao, Zhen Jia, Feng Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105860-105860
Closed Access | Times Cited: 134
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Jian Lin, Haidong Shao, Xiangdong Zhou, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120696-120696
Open Access | Times Cited: 121
FGDAE: A new machinery anomaly detection method towards complex operating conditions
Shen Yan, Haidong Shao, Zhishan Min, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109319-109319
Open Access | Times Cited: 117
A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains
Ke Zhao, Feng Jia, Haidong Shao
Knowledge-Based Systems (2022) Vol. 262, pp. 110203-110203
Closed Access | Times Cited: 102
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy
Ke Zhao, Junchen Hu, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109246-109246
Closed Access | Times Cited: 95
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis
Jinrui Wang, Zongzhen Zhang, Zhiliang Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109152-109152
Closed Access | Times Cited: 86
Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109036-109036
Closed Access | Times Cited: 76
A knowledge dynamic matching unit-guided multi-source domain adaptation network with attention mechanism for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Hongxuan Zhu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110098-110098
Closed Access | Times Cited: 50
An Adaptive Domain Adaptation Method for Rolling Bearings’ Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks
Xiao Yu, Youjie Wang, Zhongting Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 46
Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis
Yutong Dong, Hongkai Jiang, Zhenghong Wu, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109253-109253
Closed Access | Times Cited: 46
Toward interpretable anomaly detection for autonomous vehicles with denoising variational transformer
Haigen Min, Xiaoping Lei, Xia Wu, et al.
Engineering Applications of Artificial Intelligence (2024), pp. 107601-107601
Closed Access | Times Cited: 25
Machine learning models for prediction and classification of tool wear in sustainable milling of additively manufactured 316 stainless steel
Mohd Danish, Munish Kumar Gupta, Sayed Ameenuddin Irfan, et al.
Results in Engineering (2024) Vol. 22, pp. 102015-102015
Open Access | Times Cited: 23
Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0
Chong Chen, Tao Wang, Yu Zheng, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101900-101900
Open Access | Times Cited: 33
Detection of anomaly in surveillance videos using quantum convolutional neural networks
Javeria Amin, Muhammad Almas Anjum, Kainat Ibrar, et al.
Image and Vision Computing (2023) Vol. 135, pp. 104710-104710
Closed Access | Times Cited: 32
Novel motor fault detection scheme based on one-class tensor hyperdisk
Zhiyi He, Yuting Zeng, Haidong Shao, et al.
Knowledge-Based Systems (2023) Vol. 262, pp. 110259-110259
Closed Access | Times Cited: 28
An Anomaly Detection Model Based on Deep Auto-Encoder and Capsule Graph Convolution via Sparrow Search Algorithm in 6G Internet of Everything
Shoulin Yin, Hang Li, Asif Ali Laghari, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 18, pp. 29402-29411
Closed Access | Times Cited: 12
Subdomain adaptation joint attention network enabled two-stage strategy towards few-shot fault diagnosis of LRE turbopump
Dongfang Zhao, Shulin Liu, Zhonghua Miao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102366-102366
Closed Access | Times Cited: 10
Graph contrastive learning of modeling global-local interactions under hierarchical strategy: Application in anomaly detection
Weiwei Guo, Yan Wang, Le Zhou, et al.
Process Safety and Environmental Protection (2025), pp. 106871-106871
Closed Access | Times Cited: 1
Multibranch and Multiscale Dynamic Convolutional Network for Small Sample Fault Diagnosis of Rotating Machinery
Haopeng Liang, Jie Cao, Xiaoqiang Zhao
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8973-8988
Closed Access | Times Cited: 22
Novelty Detection and Fault Diagnosis Method for Bearing Faults Based on the Hybrid Deep Autoencoder Network
Yuanyuan Zhao, Huijuan Hao, Yu Chen, et al.
Electronics (2023) Vol. 12, Iss. 13, pp. 2826-2826
Open Access | Times Cited: 21
Data-augmented patch variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055102-055102
Closed Access | Times Cited: 19
Real-time anomaly detection on time series of industrial furnaces: A comparison of autoencoder architectures
Marco Pota, Giuseppe De Pietro, Massimo Esposito
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106597-106597
Open Access | Times Cited: 18
Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 2, pp. 4421-4431
Closed Access | Times Cited: 18
DeepSORT with siamese convolution autoencoder embedded for honey peach young fruit multiple object tracking
Tian Zhang, Dongfang Zhao, Yesheng Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108583-108583
Closed Access | Times Cited: 7
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