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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
34
Citations
3744
World Ranking
2914
National Ranking
364

Xingjian Dong 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 Xingjian Dong 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: 87 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Xingjian Dong 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 Xingjian Dong 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: 34 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Xingjian Dong is affiliated with Shanghai Jiao Tong University in China. Their primary research domain is engineering, with a focus on mechanical engineering among other related subfields.

The main subfields of study associated with their work include:

  • Mechanical Engineering
  • Control and Systems Engineering
  • Biomedical Engineering
  • Mechanics of Materials
  • Civil and Structural Engineering

Their research covers several specialized topics, such as:

  • Gear and Bearing Dynamics Analysis
  • Acoustic Wave Phenomena Research
  • Machine Fault Diagnosis Techniques
  • Tribology and Lubrication Engineering
  • Wave and Wind Energy Systems
  • Structural Health Monitoring Techniques
  • Wind Energy Research and Development

The frequent publication venues where Xingjian Dong has contributed include:

  • Journal of Sound and Vibration
  • arXiv (Cornell University)
  • International Journal of Mechanical Sciences
  • Mechanical Systems and Signal Processing
  • Ocean Engineering

Among their recent papers are:

  • TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis, 2023, Mechanical Systems and Signal Processing
  • Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model, 2020, IEEE Transactions on Instrumentation and Measurement
  • A tribo-dynamic based pitting evolution model of planetary gear sets: A topographical updating approach, 2022, International Journal of Mechanical Sciences
  • A flexible-helical-geared rotor dynamic model based on hybrid beam-shell elements, 2021, Journal of Sound and Vibration
  • Dynamic modeling of the gear-rotor systems with spatial propagation crack and complicated foundation structure, 2022, Mechanism and Machine Theory

Frequent collaborators working with Xingjian Dong include:

  • Zhike Peng
  • Kangkang Chen
  • Zhanwei Li
  • Guang Meng
  • Yifan Huangfu

Best Publications

  • Nonlinear Chirp Mode Decomposition: A Variational Method

    Shiqian Chen;Xingjian Dong;Zhike Peng;Wenming Zhang

  • Separation of Overlapped Non-Stationary Signals by Ridge Path Regrouping and Intrinsic Chirp Component Decomposition

    Shiqian Chen;Xingjian Dong;Guanpei Xing;Zhike Peng

  • Adaptive chirp mode pursuit: Algorithm and applications

    Shiqian Chen;Yang Yang;Zhike Peng;Xingjian Dong

  • TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis

    Unknown

  • Vibration control of piezoelectric smart structures based on system identification technique: Numerical simulation and experimental study

    Xing-Jian Dong;Guang Meng;Juan-Chun Peng

  • The power performance of an offshore floating wind turbine in platform pitching motion

    Binrong Wen;Xingjian Dong;Xinliang Tian;Zhike Peng

  • Evaluation of barely visible indentation damage (BVID) in CF/EP sandwich composites using guided wave signals

    Samir Mustapha;Samir Mustapha;Lin Ye;Xingjian Dong;Mehrisadat Makki Alamdari

  • Influences of surge motion on the power and thrust characteristics of an offshore floating wind turbine

    Binrong Wen;Xinliang Tian;Xingjian Dong;Zhike Peng

  • Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model

    Baoxuan Zhao;Changming Cheng;Zhike Peng;Xingjian Dong

  • A tribo-dynamic based pitting evolution model of planetary gear sets: A topographical updating approach

    Unknown

  • Aerodynamic and aeroelastic characteristics of flexible wind turbine blades under periodic unsteady inflows

    Zhanwei Li;Binrong Wen;Xingjian Dong;Zhike Peng

  • Application of Parameterized Time-Frequency Analysis on Multicomponent Frequency Modulated Signals

    Yang Yang;Zhike Peng;Xingjian Dong;Wenming Zhang

  • A flexible-helical-geared rotor dynamic model based on hybrid beam-shell elements

    Yifan Huangfu;Yifan Huangfu;Jin Zeng;Jin Zeng;Hui Ma;Hui Ma;Xingjian Dong

  • Dynamic modeling of the gear-rotor systems with spatial propagation crack and complicated foundation structure

    Unknown

  • Vibration analysis of a stepped laminated composite Timoshenko beam

    Xing-Jian Dong;Guang Meng;Hong-Guang Li;Lin Ye

  • Time-Varying Frequency-Modulated Component Extraction Based on Parameterized Demodulation and Singular Value Decomposition

    Shiqian Chen;Yang Yang;Kexiang Wei;Xingjian Dong

  • Design approaches of performance-scaled rotor for wave basin model tests of floating wind turbines

    Binrong Wen;Xinliang Tian;Xingjian Dong;Zhanwei Li

  • Application of a dynamic antiresonant vibration isolator to minimize the vibration transmission in underwater vehicles

    Niuniu Liu;Chenyang Li;Caiyu Yin;Xingjian Dong

  • A numerical study on the angle of attack to the blade of a horizontal-axis offshore floating wind turbine under static and dynamic yawed conditions

    Binrong Wen;Xinliang Tian;Xingjian Dong;Zhike Peng

  • On the power coefficient overshoot of an offshore floating wind turbine in surge oscillations

    Binrong Wen;Xinliang Tian;Xingjian Dong;Zhike Peng

  • Dynamics analysis and characteristics of the 8-PSS flexible redundant parallel manipulator

    Yongjie Zhao;Feng Gao;Xingjian Dong;Xianchao Zhao

  • Monitoring blade loads for a floating wind turbine in wave basin model tests using Fiber Bragg Grating sensors: A feasibility study

    Binrong Wen;Xinliang Tian;Xinliang Tian;Zhihao Jiang;Zhanwei Li

  • Warped Variational Mode Decomposition With Application to Vibration Signals of Varying-Speed Rotating Machineries

    Shiqian Chen;Yang Yang;Xingjian Dong;Guanpei Xing

  • On the aerodynamic loading effect of a model Spar-type floating wind turbine: An experimental study

    Binrong Wen;Binrong Wen;Zhihao Jiang;Zhanwei Li;Zhike Peng

  • Closed loop finite element modeling of piezoelectric smart structures

    Guang Meng;Lin Ye;Xing-jian Dong;Ke-xiang Wei

Frequent Co-Authors

Zhike Peng
Zhike Peng Shanghai Jiao Tong University
Wen-Ming Zhang
Wen-Ming Zhang Shanghai Jiao Tong University
Guang Meng
Guang Meng Shanghai Jiao Tong University
Lin Ye
Lin Ye Southern University of Science and Technology
Hui Ma
Hui Ma Northeastern University
Qingbo He
Qingbo He Shanghai Jiao Tong University
David A. Clifton
David A. Clifton University of Oxford
Fulei Chu
Fulei Chu Tsinghua University
Jun Li
Jun Li Chinese Academy of Sciences

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