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Xuefeng Chen

Active 2002–2027

Also published as
XueFeng Chen
568
Papers
32,371
Citations
87
h-index
377
i10-index

Citations

Citations per year for Xuefeng Chen1967: 1 citations1983: 1 citations2000: 1 citations2003: 3 citations2004: 3 citations2005: 1 citations2006: 5 citations2007: 3 citations2008: 10 citations2009: 17 citations2010: 24 citations2011: 34 citations2012: 42 citations2013: 78 citations2014: 99 citations2015: 134 citations2016: 212 citations2017: 268 citations2018: 446 citations2019: 821 citations2020: 1,011 citations2021: 1,170 citations2022: 1,445 citations2023: 1,688 citations2024: 2,250 citations2025: 2,158 citations2026: 511 citations2027: 8 citations1968–1982: no citations, so these years are not shown1984–1999: no citations, so these years are not shown2001–2002: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,511 citing papers, 54.3% of this breakdownUnited States: 870 citing papers, 7.3% of this breakdownUnited Kingdom: 441 citing papers, 3.7% of this breakdownIndia: 297 citing papers, 2.5% of this breakdownCanada: 283 citing papers, 2.4% of this breakdownItaly: 225 citing papers, 1.9% of this breakdownSouth Korea: 221 citing papers, 1.8% of this breakdownHong Kong: 216 citing papers, 1.8% of this breakdownAustralia: 197 citing papers, 1.6% of this breakdownFrance: 194 citing papers, 1.6% of this breakdownGermany: 180 citing papers, 1.5% of this breakdownSingapore: 170 citing papers, 1.4% of this breakdown
0%54.3%Other 18.2%

Institutions

Fields

  • Engineering56%
  • Computer Science15.1%
  • Biochemistry, Genetics and Molecular Biology8.2%
  • Medicine5.6%
  • Agricultural and Biological Sciences4%
  • Physics and Astronomy1.8%
  • Other9.3%

Topics

  • Machine Fault Diagnosis Techniques13.4%
  • Fault Detection and Control Systems6.8%
  • Gear and Bearing Dynamics Analysis4.2%
  • Anomaly Detection Techniques and Applications3.2%
  • Engineering Diagnostics and Reliability2.9%
  • Structural Health Monitoring Techniques1.9%
  • Other67.6%

Coauthors

All papers

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  1. The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study

    Authors: Tianfu Li, Zheng Zhou, Sinan Li, Chuang Sun, Ruqiang Yan, Xuefeng Chen - Mechanical Systems and Signal Processing 2021 cited by 609

  2. Artificial intelligence for fault diagnosis of rotating machinery: A review

    Authors: Ruonan Liu, Boyuan Yang, Enrico Zio, Xuefeng Chen - Mechanical Systems and Signal Processing 2018 cited by 2,105

  3. Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

    Authors: Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen - ISA Transactions 2020 cited by 634

  4. Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis

    Authors: Fujin Wang, Zhi Zhai, Zhibin Zhao, Yi Di, Xuefeng Chen - Nature Communications 2024 cited by 607

  5. Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

    Authors: Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2020 cited by 370

  6. Wavelet transform for rotary machine fault diagnosis:10 years revisited

    Authors: Ruqiang Yan, Zuogang Shang, Hong Xu, Jingcheng Wen, Zhibin Zhao, Xuefeng Chen, Robert X. Gao - Mechanical Systems and Signal Processing 2023 cited by 260

  7. Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction

    Authors: Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2021 cited by 233

  8. Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions

    Authors: Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2021 cited by 273

  9. Defect-aware transformer network for intelligent visual surface defect detection

    Authors: Hongbing Shang, Chuang Sun, Jinxin Liu, Xuefeng Chen, Ruqiang Yan - Advanced Engineering Informatics, Adv. Eng. Informatics 2023 cited by 148

  10. Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory

    Authors: Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Qiyang Zhang, Yilong Liu, Chuang Sun, Xuefeng Chen - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2021 cited by 203

  11. Wavelets for fault diagnosis of rotary machines: A review with applications

    Authors: Ruqiang Yan, Robert X. Gao, Xuefeng Chen - Signal Processing, Signal Process. 2013 cited by 1,406

  12. Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

    Authors: Chuang Sun, Meng Ma, Zhibin Zhao, Shaohua Tian, Ruqiang Yan, Xuefeng Chen - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2018 cited by 523

  13. Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis

    Authors: Yasong Li, Zheng Zhou, Chuang Sun, Xuefeng Chen, Ruqiang Yan - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 cited by 146

  14. Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing

    Authors: Dong He, Hongrui Cao, Shibin Wang, Xuefeng Chen - Mechanical Systems and Signal Processing 2018 cited by 264

  15. Construction of health indicators for condition monitoring of rotating machinery: A review of the research

    Authors: Haoxuan Zhou, Xin Huang, Guangrui Wen, Zihao Lei, Shuzhi Dong, Ping Zhang, Xuefeng Chen - Expert Systems with Applications, Expert Syst. Appl. 2022 cited by 199

  16. Few-shot transfer learning for intelligent fault diagnosis of machine

    Authors: Jingyao Wu, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen - Measurement 2020 cited by 299

  17. Multilayer Grad-CAM: An effective tool towards explainable deep neural networks for intelligent fault diagnosis

    Authors: Sinan Li, Tianfu Li, Chuang Sun, Ruqiang Yan, Xuefeng Chen - Journal of Manufacturing Systems 2023 cited by 108

  18. WPConvNet: An Interpretable Wavelet Packet Kernel-Constrained Convolutional Network for Noise-Robust Fault Diagnosis

    Authors: Sinan Li, Tianfu Li, Chuang Sun, Xuefeng Chen, Ruqiang Yan - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2023 cited by 84

  19. Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis

    Authors: Zhibin Zhao, Tianfu Li, Botao An, Shibin Wang, Baoqing Ding, Ruqiang Yan, Xuefeng Chen - ISA Transactions 2022 cited by 109

  20. Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

    Authors: Tianfu Li, Chuang Sun, Olga Fink, Yuangui Yang, Xuefeng Chen, Ruqiang Yan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2023 cited by 85

  21. Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis

    Authors: Tianfu Li, Chuang Sun, Sinan Li, Zhiying Wang, Xuefeng Chen, Ruqiang Yan - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 cited by 99

  22. A sparse auto-encoder-based deep neural network approach for induction motor faults classification

    Authors: Wenjun Sun, Siyu Shao, Rui Zhao, Ruqiang Yan, Xingwu Zhang, Xuefeng Chen - Measurement 2016 cited by 692

  23. Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data

    Authors: Meng Ma, Chuang Sun, Xuefeng Chen - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2018 cited by 296

  24. Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis

    Authors: Shuaiqing Deng, Zihao Lei, Guangrui Wen, Zhaojun Steven Li, Yongchao Zhang, Ke Feng, Xuefeng Chen - IEEE Internet of Things Journal, IEEE Internet Things J. 2024 cited by 56