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Xuefeng Chen

2002–2027 年に発表

別表記
XueFeng Chen
568
論文数
32,371
被引用数
87
h 指数
377
i10 指数

被引用数

Xuefeng Chen の年別被引用数1967 年: 被引用 1 件1983 年: 被引用 1 件2000 年: 被引用 1 件2003 年: 被引用 3 件2004 年: 被引用 3 件2005 年: 被引用 1 件2006 年: 被引用 5 件2007 年: 被引用 3 件2008 年: 被引用 10 件2009 年: 被引用 17 件2010 年: 被引用 24 件2011 年: 被引用 34 件2012 年: 被引用 42 件2013 年: 被引用 78 件2014 年: 被引用 99 件2015 年: 被引用 134 件2016 年: 被引用 212 件2017 年: 被引用 268 件2018 年: 被引用 446 件2019 年: 被引用 821 件2020 年: 被引用 1,011 件2021 年: 被引用 1,170 件2022 年: 被引用 1,445 件2023 年: 被引用 1,688 件2024 年: 被引用 2,250 件2025 年: 被引用 2,158 件2026 年: 被引用 511 件2027 年: 被引用 8 件1968〜1982 年は被引用が無いため表示していません1984〜1999 年は被引用が無いため表示していません2001〜2002 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 6,511 件、この内訳の 54.3%アメリカ合衆国: 引用元論文 870 件、この内訳の 7.3%イギリス: 引用元論文 441 件、この内訳の 3.7%インド: 引用元論文 297 件、この内訳の 2.5%カナダ: 引用元論文 283 件、この内訳の 2.4%イタリア: 引用元論文 225 件、この内訳の 1.9%韓国: 引用元論文 221 件、この内訳の 1.8%香港: 引用元論文 216 件、この内訳の 1.8%オーストラリア: 引用元論文 197 件、この内訳の 1.6%フランス: 引用元論文 194 件、この内訳の 1.6%ドイツ: 引用元論文 180 件、この内訳の 1.5%シンガポール: 引用元論文 170 件、この内訳の 1.4%
0%54.3%その他 18.2%

機関

分野

  • Engineering56%
  • Computer Science15.1%
  • Biochemistry, Genetics and Molecular Biology8.2%
  • Medicine5.6%
  • Agricultural and Biological Sciences4%
  • Physics and Astronomy1.8%
  • その他9.3%

トピック

  • 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%
  • その他67.6%

共著者

全論文

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

    著者: Tianfu Li, Zheng Zhou, Sinan Li, Chuang Sun, Ruqiang Yan, Xuefeng Chen - Mechanical Systems and Signal Processing 2021 被引用: 609

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

    著者: Ruonan Liu, Boyuan Yang, Enrico Zio, Xuefeng Chen - Mechanical Systems and Signal Processing 2018 被引用: 2,105

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

    著者: Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen - ISA Transactions 2020 被引用: 634

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

    著者: Fujin Wang, Zhi Zhai, Zhibin Zhao, Yi Di, Xuefeng Chen - Nature Communications 2024 被引用: 607

  5. Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

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

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

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

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

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

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

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

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

    著者: Hongbing Shang, Chuang Sun, Jinxin Liu, Xuefeng Chen, Ruqiang Yan - Advanced Engineering Informatics, Adv. Eng. Informatics 2023 被引用: 148

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

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

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

    著者: Ruqiang Yan, Robert X. Gao, Xuefeng Chen - Signal Processing, Signal Process. 2013 被引用: 1,406

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

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

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

    著者: 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 被引用: 146

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

    著者: Dong He, Hongrui Cao, Shibin Wang, Xuefeng Chen - Mechanical Systems and Signal Processing 2018 被引用: 264

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

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

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

    著者: Jingyao Wu, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen - Measurement 2020 被引用: 299

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

    著者: Sinan Li, Tianfu Li, Chuang Sun, Ruqiang Yan, Xuefeng Chen - Journal of Manufacturing Systems 2023 被引用: 108

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

    著者: 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 被引用: 84

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

    著者: Zhibin Zhao, Tianfu Li, Botao An, Shibin Wang, Baoqing Ding, Ruqiang Yan, Xuefeng Chen - ISA Transactions 2022 被引用: 109

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

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

  21. Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis

    著者: 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 被引用: 99

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

    著者: Wenjun Sun, Siyu Shao, Rui Zhao, Ruqiang Yan, Xingwu Zhang, Xuefeng Chen - Measurement 2016 被引用: 692

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

    著者: Meng Ma, Chuang Sun, Xuefeng Chen - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2018 被引用: 296

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

    著者: 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 被引用: 56