D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 51 Citations 10,406 350 World Ranking 627 National Ranking 50

Overview

What is he best known for?

The fields of study Xuefeng Chen is best known for:

  • Hilbert–Huang transform
  • Time–frequency analysis
  • Wavelet

Xuefeng Chen frequently studies issues relating to Artificial intelligence and Pattern recognition (psychology). As part of his studies on Artificial intelligence, Xuefeng Chen often connects relevant areas like Pattern recognition (psychology). While working in this field, Xuefeng Chen studies both Fault (geology) and Seismology. His work often combines Seismology and Fault (geology) studies. He combines Algorithm and Computer vision in his studies. Xuefeng Chen undertakes multidisciplinary investigations into Computer vision and Algorithm in his work. In his works, he conducts interdisciplinary research on Mathematical optimization and Lagrange multiplier. Xuefeng Chen merges many fields, such as Lagrange multiplier and Mathematical optimization, in his writings. His research on Nuclear magnetic resonance frequently links to adjacent areas such as Stacking.

His most cited work include:

  • Sparsity-enabled signal decomposition using tunable Q-factor wavelet transform for fault feature extraction of gearbox (168 citations)
  • Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis (153 citations)
  • An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder (133 citations)

What are the main themes of his work throughout his whole career to date

Xuefeng Chen is involved in relevant fields of research such as Minimax, Penalty method and Minification in the realm of Mathematical optimization. His study ties his expertise on Mathematical optimization together with the subject of Minification. Many of his studies involve connections with topics such as Feature extraction and Artificial intelligence. While working on this project, Xuefeng Chen studies both Seismology and Fault (geology). In his research, he undertakes multidisciplinary study on Fault (geology) and Seismology. His Pattern recognition (psychology) study frequently involves adjacent topics like Artificial intelligence. Xuefeng Chen regularly links together related areas like Sparse approximation in his Algorithm studies. Much of his study explores Sparse approximation relationship to Algorithm. He integrates many fields, such as Programming language and SIGNAL (programming language), in his works.

Xuefeng Chen most often published in these fields:

  • Artificial intelligence (91.30%)
  • Seismology (60.87%)
  • Fault (geology) (60.87%)

What were the highlights of his more recent work (between 2020-2022)?

  • Artificial intelligence (100.00%)
  • Quantum mechanics (50.00%)
  • Operating system (50.00%)

In recent works Xuefeng Chen was focusing on the following fields of study:

Xuefeng Chen links relevant scientific disciplines such as Classifier (UML) and Test data in the realm of Programming language. His Classifier (UML) study frequently intersects with other fields, such as Programming language. In his works, he undertakes multidisciplinary study on Artificial intelligence and Test set. His Calibration research extends to Quantum mechanics, which is thematically connected. His work on Calibration is being expanded to include thematically relevant topics such as Quantum mechanics. His Operating system study frequently draws connections between related disciplines such as Encoder. Xuefeng Chen performs integrative Encoder and Rotary encoder research in his work. His research brings together the fields of Operating system and Rotary encoder. Xuefeng Chen connects Optics with Grating in his research.

Between 2020 and 2022, his most popular works were:

  • Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory (29 citations)
  • A survey on the grating based optical position encoder (8 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Ruqiang Yan;Robert X. Gao;Xuefeng Chen.
Signal Processing (2014)

1128 Citations

Artificial intelligence for fault diagnosis of rotating machinery: A review

Ruonan Liu;Boyuan Yang;Enrico Zio;Enrico Zio;Xuefeng Chen.
Mechanical Systems and Signal Processing (2018)

1086 Citations

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

Wenjun Sun;Siyu Shao;Rui Zhao;Ruqiang Yan;Ruqiang Yan.
Measurement (2016)

571 Citations

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

Jinglong Chen;Jun Pan;Zipeng Li;Yanyang Zi.
Renewable Energy (2016)

293 Citations

Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings

Zhiwen Liu;Hongrui Cao;Xuefeng Chen;Zhengjia He.
Neurocomputing (2013)

291 Citations

New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

Yaguo Lei;Zhengjia He;Yanyang Zi;Xuefeng Chen.
Mechanical Systems and Signal Processing (2008)

268 Citations

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

Chuang Sun;Meng Ma;Zhibin Zhao;Shaohua Tian.
IEEE Transactions on Industrial Informatics (2019)

258 Citations

Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

Wenjun Sun;Rui Zhao;Ruqiang Yan;Siyu Shao.
IEEE Transactions on Industrial Informatics (2017)

222 Citations

Matching Demodulation Transform and SynchroSqueezing in Time-Frequency Analysis

Shibin Wang;Xuefeng Chen;Gaigai Cai;Binqiang Chen.
IEEE Transactions on Signal Processing (2014)

211 Citations

Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis

Jiyong Tan;Xuefeng Chen;Junying Wang;Huaxin Chen.
Mechanical Systems and Signal Processing (2009)

203 Citations

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