World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
51
Citations
12510
World Ranking
1096
National Ranking
132

Yanyang Zi publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Yanyang Zi sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 198 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Yanyang Zi D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Yanyang Zi sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 51 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Yanyang Zi is affiliated with Xi'an Jiaotong University in China, focusing research primarily in the field of Engineering. Their work spans several subfields including Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Artificial Intelligence, and Civil and Structural Engineering.

The scientist's research concentrates on key topics such as Machine Fault Diagnosis Techniques, Fault Detection and Control Systems, Gear and Bearing Dynamics Analysis, Engineering Diagnostics and Reliability, Anomaly Detection Techniques and Applications, Structural Health Monitoring Techniques, and Reliability and Maintenance Optimization.

Yanyang Zi has contributed to multiple peer-reviewed publications, many of which appear in leading journals including:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Neural Networks and Learning Systems
  • Mechanical Systems and Signal Processing
  • ISA Transactions
  • Scientific Reports

Recent notable papers authored or co-authored by Yanyang Zi are:

  • "Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "A reliable feature-assisted contrastive generalization net for intelligent fault diagnosis under unseen machines and working conditions" (2022), published in Mechanical Systems and Signal Processing
  • "A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation" (2021), published in IEEE Transactions on Instrumentation and Measurement
  • "Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification" (2021), published in IEEE Transactions on Industrial Electronics

The scientist frequently collaborates with other researchers such as Jinglong Chen, Yu Wang, Zhen Shi, Jie Li, and Zitong Zhou, with whom they have co-authored multiple publications.

Best Publications

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

    Yaguo Lei;Zhengjia He;Yanyang Zi

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

    Yaguo Lei;Zhengjia He;Yanyang Zi;Qiao Hu

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

    Yaguo Lei;Jing Lin;Zhengjia He;Yanyang Zi

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

    Qiao Hu;Zhengjia He;Zhousuo Zhang;Yanyang Zi

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

    Jinglong Chen;Zipeng Li;Jun Pan;Gaige Chen

  • A new approach to intelligent fault diagnosis of rotating machinery

    Yaguo Lei;Zhengjia He;Yanyang Zi

  • Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive

    Zipeng Li;Jinglong Chen;Yanyang Zi;Jun Pan

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

    Jinglong Chen;Jun Pan;Zipeng Li;Yanyang Zi

  • EEMD method and WNN for fault diagnosis of locomotive roller bearings

    Yaguo Lei;Zhengjia He;Yanyang Zi

  • A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

    Yu Wang;Yizhen Peng;Yanyang Zi;Xiaohang Jin

  • Application of an intelligent classification method to mechanical fault diagnosis

    Yaguo Lei;Zhengjia He;Yanyang Zi

  • LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

    Jun Pan;Yanyang Zi;Jinglong Chen;Zitong Zhou

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

    Yanxue Wang;Zhengjia He;Yanyang Zi

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

    Yaguo Lei;Zhengjia He;Yanyang Zi;Xuefeng Chen

  • A multidimensional hybrid intelligent method for gear fault diagnosis

    Yaguo Lei;Ming J. Zuo;Zhengjia He;Yanyang Zi

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

    Jiyong Tan;Xuefeng Chen;Junying Wang;Huaxin Chen

  • A Comparative Study on the Local Mean Decomposition and Empirical Mode Decomposition and Their Applications to Rotating Machinery Health Diagnosis

    Yanxue Wang;Zhengjia He;Yanyang Zi

  • An improved time-varying mesh stiffness algorithm and dynamic modeling of gear-rotor system with tooth root crack

    Zhiguo Wan;Hongrui Cao;Yanyang Zi;Wangpeng He

  • Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform

    Wangpeng He;Yanyang Zi;Binqiang Chen;Binqiang Chen;Feng Wu

  • Mesh stiffness calculation using an accumulated integral potential energy method and dynamic analysis of helical gears

    Zhiguo Wan;Hongrui Cao;Yanyang Zi;Wangpeng He

  • Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment

    Jun Pan;Jinglong Chen;Yanyang Zi;Yueming Li

  • A demodulation method based on improved local mean decomposition and its application in rub-impact fault diagnosis

    Yanxue Wang;Zhengjia He;Yanyang Zi

Frequent Co-Authors

Zhengjia He
Zhengjia He Xi'an Jiaotong University
Yaguo Lei
Yaguo Lei Xi'an Jiaotong University
Xuefeng Chen
Xuefeng Chen Xi'an Jiaotong University
Hongrui Cao
Hongrui Cao Xi'an Jiaotong University
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Ivan W. Selesnick
Ivan W. Selesnick New York University
Ming J. Zuo
Ming J. Zuo University of Alberta
Dong Wang
Dong Wang Peking University
Jing Lin
Jing Lin Beihang University
Tommy W. S. Chow
Tommy W. S. Chow City University of Hong Kong

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