World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
4360
World Ranking
3149
National Ranking
389

Xingwu Zhang 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 Xingwu Zhang 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: 136 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Xingwu Zhang 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 Xingwu Zhang 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Xingwu Zhang is affiliated with Xi'an Jiaotong University in China, contributing extensively to research in the field of engineering with a focus on control and systems engineering, mechanical engineering, and industrial and manufacturing engineering.

Their research covers areas including artificial intelligence applications in industrial contexts. Core topics addressed by their work consist of:

  • Machine Fault Diagnosis Techniques
  • Industrial Vision Systems and Defect Detection
  • Fault Detection and Control Systems
  • Anomaly Detection Techniques and Applications
  • Gear and Bearing Dynamics Analysis
  • Additive Manufacturing Materials and Processes
  • Structural Health Monitoring Techniques

Xingwu Zhang has contributed papers to several prominent venues, with frequent publications in the:

  • SSRN Electronic Journal
  • IEEE Transactions on Instrumentation and Measurement
  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics
  • Computers in Industry

Significant recent papers authored or co-authored by Xingwu Zhang include:

  • "Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory," 2021, IEEE Transactions on Industrial Informatics
  • "Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis," 2020, IEEE Transactions on Instrumentation and Measurement
  • "Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction," 2023, Computers in Industry
  • "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis," 2021, IEEE Transactions on Instrumentation and Measurement
  • "A Reinforced k-Nearest Neighbors Method With Application to Chatter Identification in High-Speed Milling," 2020, IEEE Transactions on Industrial Electronics

Throughout their career, Xingwu Zhang has collaborated frequently with the following co-authors:

  • Xuefeng Chen
  • Zhibin Zhao
  • Chenxi Wang
  • Ruqiang Yan
  • Zhibo Yang

Their work systematically intersects industrial and manufacturing engineering with artificial intelligence techniques, especially in advancing fault diagnosis and anomaly detection within mechanical and industrial systems. This body of research supports developments in machine maintenance, monitoring, and manufacturing process optimization.

Best Publications

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

    Wenjun Sun;Siyu Shao;Rui Zhao;Ruqiang Yan;Ruqiang Yan

  • The concept and progress of intelligent spindles: A review

    Hongrui Cao;Xingwu Zhang;Xuefeng Chen

  • Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis

    Shibin Wang;Shibin Wang;Xuefeng Chen;Ivan W. Selesnick;Yanjie Guo

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

    Xiaolei Yu;Zhibin Zhao;Xingwu Zhang;Qiyang Zhang

  • Sparse regularization for force identification using dictionaries

    Baijie Qiao;Xingwu Zhang;Chenxi Wang;Hang Zhang

  • Sparse deconvolution for the large-scale ill-posed inverse problem of impact force reconstruction

    Baijie Qiao;Xingwu Zhang;Jiawei Gao;Ruonan Liu

  • Chatter detection in milling process based on synchrosqueezing transform of sound signals

    Hongrui Cao;Yiting Yue;Xuefeng Chen;Xingwu Zhang

  • Impact-force sparse reconstruction from highly incomplete and inaccurate measurements

    Baijie Qiao;Xingwu Zhang;Jiawei Gao;Xuefeng Chen

  • Nonlinear squeezing time-frequency transform for weak signal detection

    Shibin Wang;Xuefeng Chen;Yan Wang;Gaigai Cai

  • Early chatter detection in end milling based on multi-feature fusion and 3σ criterion

    Hongrui Cao;Kai Zhou;Xuefeng Chen;Xingwu Zhang

  • A force identification method using cubic B-spline scaling functions

    Baijie Qiao;Xingwu Zhang;Xinjie Luo;Xuefeng Chen

  • Stiffness variation method for milling chatter suppression via piezoelectric stack actuators

    Chenxi Wang;Xingwu Zhang;Yilong Liu;Hongrui Cao

  • Free vibration and buckling analysis of plates using B-spline wavelet on the interval Mindlin element

    Zhibo Yang;Xuefeng Chen;Xingwu Zhang;Zhengjia He

  • Transient signal analysis based on Levenberg–Marquardt method for fault feature extraction of rotating machines

    Shibin Wang;Shibin Wang;Gaigai Cai;Zhongkui Zhu;Zhongkui Zhu;Weiguo Huang

  • Multivariable wavelet finite element-based vibration model for quantitative crack identification by using particle swarm optimization

    Xingwu Zhang;Xingwu Zhang;Robert X. Gao;Ruqiang Yan;Ruqiang Yan;Xuefeng Chen

  • Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators

    Xingwu Zhang;Chenxi Wang;Jinxin Liu;Ruqiang Yan

  • A Deep Coupled Network for Health State Assessment of Cutting Tools Based on Fusion of Multisensory Signals

    Meng Ma;Chuang Sun;Xuefeng Chen;Xingwu Zhang

  • Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis

    Qiyang Zhang;Zhibin Zhao;Xingwu Zhang;Yilong Liu

  • Model predictive control based active chatter control in milling process

    Denghui Li;Hongrui Cao;Xingwu Zhang;Xuefeng Chen

  • A Reinforced k -Nearest Neighbors Method With Application to Chatter Identification in High-Speed Milling

    Fei Shi;Hongrui Cao;Xingwu Zhang;Xuefeng Chen

  • Chatter detection based on synchrosqueezing transform and statistical indicators in milling process

    Hongrui Cao;Yiting Yue;Xuefeng Chen;Xingwu Zhang

  • Analysis and compensation of reference frequency mismatch in multiple-frequency feedforward active noise and vibration control system

    Jinxin Liu;Xuefeng Chen;Liangdong Yang;Jiawei Gao

  • Modeling of wave propagation in one-dimension structures using B-spline wavelet on interval finite element

    Xuefeng Chen;Zhibo Yang;Xingwu Zhang;Zhengjia He

  • Wave motion analysis and modeling of membrane structures using the wavelet finite element method

    Zhi-Bo Yang;Xue-Feng Chen;Yong Xie;Hao Zuo

  • Adaptive vibration reshaping based milling chatter suppression

    Chenxi Wang;Xingwu Zhang;Jinxin Liu;Hongrui Cao

  • Multivariable finite elements based on B-spline wavelet on the interval for thin plate static and vibration analysis

    Xingwu Zhang;Xuefeng Chen;Xiuzhuan Wang;Zhengjia He

Frequent Co-Authors

Xuefeng Chen
Xuefeng Chen Xi'an Jiaotong University
Hongrui Cao
Hongrui Cao Xi'an Jiaotong University
Ruqiang Yan
Ruqiang Yan Xi'an Jiaotong University
Zhengjia He
Zhengjia He Xi'an Jiaotong University
Robert X. Gao
Robert X. Gao Case Western Reserve University
Peng Wang
Peng Wang Nanyang Technological University
Zhongkui Zhu
Zhongkui Zhu Soochow University
Ivan W. Selesnick
Ivan W. Selesnick New York University

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