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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:

Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance
Keke Huang, Shujie Wu, Bei Sun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 1, pp. 547-558
Closed Access | Times Cited: 24

Showing 24 citing articles:

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
WPConvNet: An Interpretable Wavelet Packet Kernel-Constrained Convolutional Network for Noise-Robust Fault Diagnosis
Sinan Li, Tianfu Li, Chuang Sun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14974-14988
Closed Access | Times Cited: 24
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network
Wenfeng Deng, Yuxuan Li, Keke Huang, et al.
Neural Networks (2022) Vol. 158, pp. 30-41
Closed Access | Times Cited: 35
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis
Xingxing Jiang, Qiuyu Song, Qian Wang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102494-102494
Closed Access | Times Cited: 6
Interval observer design for unobservable switched nonlinear partial differential equation systems and its application
Xiaona Song, Zenglong Peng, Shuai Song, et al.
International Journal of Robust and Nonlinear Control (2024) Vol. 34, Iss. 16, pp. 10990-11009
Open Access | Times Cited: 6
Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis
Qiuyu Song, Xingxing Jiang, Jie Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 5403-5416
Closed Access | Times Cited: 5
Multirelational Fusion Graph Convolution Network With Multiscale Residual Network for Fault Diagnosis of Complex Industrial Processes
Yinghua Han, Siwei Tuo, Yuan Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 4
Control-Resilient Roller Wear Prediction for Thin Wire Flattening Process via an Internal Sound-Guided Dynamic Conditional Network
Eunseob Kim, Jurim Jeon, Young‐Won Kim, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2025)
Closed Access
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
Jaime Pérez, Patricia Arroba, José M. Moya
Applied Intelligence (2022) Vol. 53, Iss. 2, pp. 1469-1486
Open Access | Times Cited: 19
SCADA data-driven blade icing detection for wind turbines: an enhanced spatio-temporal feature learning approach
Guoqian Jiang, Wenyue Li, Jiarong Bai, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 054004-054004
Closed Access | Times Cited: 12
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation
Jie Du, Xiaoci Zhang, Peng Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 15372-15386
Closed Access | Times Cited: 9
Temporally-preserving latent variable models: Offline and online training for reconstruction and interpretation of fault data for gearbox condition monitoring
Ryan Balshaw, P. Stephan Heyns, Daniël N. Wilke, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 3
Adaptive denoising autoencoder for robust fault detection
Zixuan Li, Haitao Zhao
Process Safety and Environmental Protection (2024) Vol. 188, pp. 860-876
Closed Access | Times Cited: 2
Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes
Jianbo Yu, Shijin Li, Xing Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108872-108872
Closed Access | Times Cited: 1
Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques
Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 4
A Spatial–Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes
Mingjie Lv, Yonggang Li, Huiping Liang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 3062-3076
Closed Access | Times Cited: 4
SI-LSGAN: Complex network structure inference based on least square generative adversarial network
Jie Liu, Wenfeng Deng, Chunhua Yang, et al.
Chaos Solitons & Fractals (2023) Vol. 173, pp. 113739-113739
Closed Access | Times Cited: 2
Hybridformer: an efficient and robust new hybrid network for chip image segmentation
Chuang Zhang, Xiuping Liu, Xiaoge Ning, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28592-28610
Closed Access | Times Cited: 2
Table of Contents

IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 1, pp. C1-4
Open Access
Analog Circuit Incipient Fault Detection Based on Attention Mechanism and Fully Convolutional Network
Yufeng Miao, Ying Zhang, Fuyang Chen, et al.
IEEE Access (2024) Vol. 12, pp. 137247-137258
Open Access
A novel progressive domain separation network with multi-metric ensemble quantification for open set fault diagnosis of motor bearings
Chaoyang Weng, Baochun Lu, L B Chen, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103060-103060
Closed Access
Open Set Safety Assessment With Complementary Labels
Chang Liu, Limin Wang, Minyue Li, et al.
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) (2023), pp. 1-5
Closed Access | Times Cited: 1
Efficient Information-Theoretic Large-Scale Semi-Supervised Metric Learning via Proxies
Peng Chen, Huibing Wang
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8993-8993
Open Access
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