D-Index & Metrics Best Publications

D-Index & Metrics

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
Engineering and Technology D-index 42 Citations 8,430 130 World Ranking 2335 National Ranking 236

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mechanical engineering
  • Electrical engineering

His primary areas of study are Fault, Pattern recognition, Artificial intelligence, Hilbert–Huang transform and Feature extraction. Yanyang Zi has researched Fault in several fields, including Feature, Electronic engineering and Signal, Noise, Signal processing. Yanyang Zi works mostly in the field of Feature, limiting it down to concerns involving Algorithm and, occasionally, Pattern recognition.

His Pattern recognition study combines topics from a wide range of disciplines, such as Artificial neural network and Data mining. His work deals with themes such as Vibration and Instantaneous phase, which intersect with Hilbert–Huang transform. His Vibration study incorporates themes from Wavelet packet decomposition and Bearing.

His most cited work include:

  • Application of the EEMD method to rotor fault diagnosis of rotating machinery (343 citations)
  • Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble (292 citations)
  • Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs (287 citations)

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

Yanyang Zi mainly focuses on Fault, Algorithm, Vibration, Wavelet and Signal. Yanyang Zi has included themes like Control theory, Feature extraction, Artificial intelligence, Pattern recognition and Bearing in his Fault study. His Algorithm research incorporates elements of Feature, Noise, Fault detection and isolation, Signal processing and Hilbert–Huang transform.

His studies in Noise integrate themes in fields like Signal-to-noise ratio and Noise reduction. Yanyang Zi focuses mostly in the field of Vibration, narrowing it down to matters related to Structural engineering and, in some cases, Impeller. Yanyang Zi works mostly in the field of Signal, limiting it down to topics relating to Electronic engineering and, in certain cases, Optical storage and Optical disc, as a part of the same area of interest.

He most often published in these fields:

  • Fault (39.07%)
  • Algorithm (37.75%)
  • Vibration (29.80%)

What were the highlights of his more recent work (between 2018-2021)?

  • Algorithm (37.75%)
  • Fault (39.07%)
  • Vibration (29.80%)

In recent papers he was focusing on the following fields of study:

His main research concerns Algorithm, Fault, Vibration, Bearing and Feature extraction. His Algorithm study combines topics in areas such as Mechanical system, Blind signal separation, Identification, Representation and Noise. His biological study spans a wide range of topics, including Convolution, Discriminator, Wavelet transform and Fault detection and isolation.

His Fault research is multidisciplinary, incorporating perspectives in Real-time computing, Dimensionality reduction, Principal component analysis, Synthetic data and Pattern recognition. The Vibration study combines topics in areas such as Discontinuity, Bending moment, Stress, Energy and Computer simulation. The concepts of his Bearing study are interwoven with issues in Signal, Geodesic, Block, Wire rope and Euclidean distance.

Between 2018 and 2021, his most popular works were:

  • Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life (24 citations)
  • A novel underdetermined blind source separation method with noise and unknown source number (11 citations)
  • A novel vibration modeling method for a rotating blade with breathing cracks (7 citations)

In his most recent research, the most cited papers focused on:

  • Mechanical engineering
  • Artificial intelligence
  • Electrical engineering

Representation, Algorithm, Braking system, Analysis method and Automotive engineering are his primary areas of study. His Representation study integrates concerns from other disciplines, such as Diesel fuel, Crankshaft, Diesel engine, Real-time computing and Frequency domain. His Algorithm research is multidisciplinary, relying on both Prognostics, State space and Noise.

You can notice a mix of various disciplines of study, such as System safety and Hazard analysis, in his Braking system studies.

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

Application of the EEMD method to rotor fault diagnosis of rotating machinery

Yaguo Lei;Zhengjia He;Yanyang Zi.
Mechanical Systems and Signal Processing (2009)

527 Citations

Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble

Qiao Hu;Zhengjia He;Zhousuo Zhang;Yanyang Zi.
Mechanical Systems and Signal Processing (2007)

440 Citations

Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs

Yaguo Lei;Zhengjia He;Yanyang Zi;Qiao Hu.
Mechanical Systems and Signal Processing (2007)

416 Citations

A new approach to intelligent fault diagnosis of rotating machinery

Yaguo Lei;Zhengjia He;Yanyang Zi.
Expert Systems With Applications (2008)

412 Citations

Application of an improved kurtogram method for fault diagnosis of rolling element bearings

Yaguo Lei;Jing Lin;Zhengjia He;Yanyang Zi.
Mechanical Systems and Signal Processing (2011)

373 Citations

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

Jinglong Chen;Zipeng Li;Jun Pan;Gaige Chen.
Mechanical Systems and Signal Processing (2016)

280 Citations

Application of an intelligent classification method to mechanical fault diagnosis

Yaguo Lei;Zhengjia He;Yanyang Zi.
Expert Systems With Applications (2009)

264 Citations

EEMD method and WNN for fault diagnosis of locomotive roller bearings

Yaguo Lei;Zhengjia He;Yanyang Zi.
Expert Systems With Applications (2011)

263 Citations

Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform

Yanxue Wang;Zhengjia He;Yanyang Zi.
Mechanical Systems and Signal Processing (2010)

259 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)

242 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Yanyang Zi

Xuefeng Chen

Xuefeng Chen

Xi'an Jiaotong University

Publications: 79

Jing Lin

Jing Lin

Beihang University

Publications: 58

Qingbo He

Qingbo He

Shanghai Jiao Tong University

Publications: 48

Yaguo Lei

Yaguo Lei

Xi'an Jiaotong University

Publications: 46

Zhengjia He

Zhengjia He

Xi'an Jiaotong University

Publications: 38

Ming J. Zuo

Ming J. Zuo

University of Alberta

Publications: 34

Peter W. Tse

Peter W. Tse

City University of Hong Kong

Publications: 25

Ruqiang Yan

Ruqiang Yan

Xi'an Jiaotong University

Publications: 23

Hui Ma

Hui Ma

Northeastern University

Publications: 22

Ram Bilas Pachori

Ram Bilas Pachori

Indian Institute of Technology Indore

Publications: 19

Fulei Chu

Fulei Chu

Tsinghua University

Publications: 17

Chuan Li

Chuan Li

Chongqing Technology and Business University

Publications: 16

Fengshou Gu

Fengshou Gu

University of Huddersfield

Publications: 16

Bangchun Wen

Bangchun Wen

Northeastern University

Publications: 15

Steven Y. Liang

Steven Y. Liang

Georgia Institute of Technology

Publications: 15

Robert X. Gao

Robert X. Gao

Case Western Reserve University

Publications: 14

Trending Scientists

Risto Miikkulainen

Risto Miikkulainen

The University of Texas at Austin

Alex Acero

Alex Acero

Apple (United States)

Mohammed F. Daqaq

Mohammed F. Daqaq

New York University Abu Dhabi

Alexey A. Popov

Alexey A. Popov

Leibniz Association

Steven A. Benner

Steven A. Benner

University of Florida

Juan J. de Pablo

Juan J. de Pablo

University of Chicago

Edward R. T. Tiekink

Edward R. T. Tiekink

Sunway University

Gianluigi A. Botton

Gianluigi A. Botton

McMaster University

Yunfeng Yang

Yunfeng Yang

Tsinghua University

Xugao Wang

Xugao Wang

Chinese Academy of Sciences

Satyajit Mayor

Satyajit Mayor

National Centre for Biological Sciences

David N. Cole

David N. Cole

US Forest Service

Jean-François Ghienne

Jean-François Ghienne

University of Strasbourg

Siegfried D. Schubert

Siegfried D. Schubert

Goddard Space Flight Center

Colin W. G. Clifford

Colin W. G. Clifford

UNSW Sydney

Christos Constantinidis

Christos Constantinidis

Wake Forest University

Something went wrong. Please try again later.