World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
70
Citations
16161
World Ranking
397
National Ranking
55

Guang Meng 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 Guang Meng 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: 445 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Guang Meng 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 Guang Meng 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: 70 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Guang Meng is affiliated with Shanghai Jiao Tong University in China and has an extensive publication record in the field of engineering. Their research spans several subfields including biomedical engineering, mechanical engineering, control and systems engineering, civil and structural engineering, and electrical and electronic engineering.

The scientist's recent papers cover a range of engineered systems and materials, including:

  • Mechanical Intelligent Energy Harvesting: From Methodology to Applications (2023) published in Advanced Energy Materials
  • Resolving local reaction environment toward an optimized CO2-to-CO conversion performance (2021) published in Energy & Environmental Science
  • Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model (2020) published in IEEE Transactions on Instrumentation and Measurement
  • A Fast and Adaptive Empirical Mode Decomposition Method and Its Application in Rolling Bearing Fault Diagnosis (2022) published in IEEE Sensors Journal
  • A wave-confining metasphere beamforming acoustic sensor for superior human-machine voice interaction (2022) published in Science Advances

Frequent coauthors of Guang Meng include Zhike Peng, Yegao Qu, Yuyong Xiong, Wenming Zhang, and Fangtao Xie.

The scientist has contributed to publications in venues such as:

  • Journal of Sound and Vibration
  • IEEE Transactions on Instrumentation and Measurement
  • Mechanical Systems and Signal Processing
  • SSRN Electronic Journal
  • Science Advances

The main fields of study reflect a broad expertise across numerous engineering disciplines with a focus on the following subfields:

  • Biomedical Engineering
  • Mechanical Engineering
  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Electrical and Electronic Engineering

Guang Meng's research topics cover specialized areas such as:

  • Acoustic Wave Phenomena Research
  • Structural Health Monitoring Techniques
  • Vibration and Dynamic Analysis
  • Advanced Sensor and Energy Harvesting Materials
  • Fluid Dynamics and Vibration Analysis
  • Advanced Materials and Mechanics
  • Advanced Fiber Optic Sensors

Best Publications

  • Electrostatic pull-in instability in MEMS/NEMS: A review

    Wen-Ming Zhang;Han Yan;Zhi-Ke Peng;Guang Meng

  • A review on slip models for gas microflows

    Wen-Ming Zhang;Guang Meng;Xueyong Wei

  • Polynomial Chirplet Transform With Application to Instantaneous Frequency Estimation

    Z. K. Peng;G. Meng;F. L. Chu;Z. Q. Lang

  • Nonlinear Chirp Mode Decomposition: A Variational Method

    Shiqian Chen;Xingjian Dong;Zhike Peng;Wenming Zhang

  • A water-proof magnetically coupled piezoelectric-electromagnetic hybrid wind energy harvester

    Lin-Chuan Zhao;Hong-Xiang Zou;Ge Yan;Feng-Rui Liu

  • Volterra-series-based nonlinear system modeling and its engineering applications: A state-of-the-art review

    C.M. Cheng;Z.K. Peng;W.M. Zhang;G. Meng

  • Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances

    Yang Yang;Zhike Peng;Wenming Zhang;Guang Meng

  • Functionalized composite structures for new generation airframes: a review

    Lin Ye;Ye Lu;Zhongqing Su;Guang Meng

  • Design and experimental investigation of a magnetically coupled vibration energy harvester using two inverted piezoelectric cantilever beams for rotational motion

    Hong-Xiang Zou;Wen-ming Zhang;Wen-Bo Li;Ke-Xiang Wei

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

    Shiqian Chen;Xingjian Dong;Guanpei Xing;Zhike Peng

  • Chatter detection in milling process based on the energy entropy of VMD and WPD

    Zhao Zhang;Hongguang Li;Guang Meng;Xiaotong Tu

  • Adaptive algorithm for active control of impulsive noise

    Xu Sun;Xu Sun;Sen M. Kuo;Guang Meng

  • Adaptive chirp mode pursuit: Algorithm and applications

    Shiqian Chen;Yang Yang;Zhike Peng;Xingjian Dong

  • Study of the effects of cubic nonlinear damping on vibration isolations using Harmonic Balance Method

    Z.K. Peng;G. Meng;Z.Q Lang;W.M. Zhang

  • Nonlinear motions of a flexible rotor with a drill bit: stick-slip and delay effects

    Xianbo Liu;Nicholas Vlajic;Xinhua Long;Guang Meng

  • Spline-Kernelled Chirplet Transform for the Analysis of Signals With Time-Varying Frequency and Its Application

    Y. Yang;Z. K. Peng;G. Meng;W. M. Zhang

  • A unified formulation for vibration analysis of composite laminated shells of revolution including shear deformation and rotary inertia

    Yegao Qu;Xinhua Long;Shihao Wu;Guang Meng

  • A unified formulation for vibration analysis of functionally graded shells of revolution with arbitrary boundary conditions

    Yegao Qu;Xinhua Long;Guoqing Yuan;Guang Meng

  • A domain decomposition approach for vibration analysis of isotropic and composite cylindrical shells with arbitrary boundaries

    Yegao Qu;Hongxing Hua;Guang Meng

  • Nonlinear Dynamic Analysis of Electrostatically Actuated Resonant MEMS Sensors Under Parametric Excitation

    Wen-Ming Zhang;Guang Meng

  • Probabilistic damage identification based on correlation analysis using guided wave signals in aluminum plates

    Dong Wang;Lin Ye;Zhongqing Su;Ye Lu

  • Modeling of wave propagation in plate structures using three-dimensional spectral element method for damage detection

    Haikuo Peng;Guang Meng;Fucai Li

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

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

Frequent Co-Authors

Wen-Ming Zhang
Wen-Ming Zhang Shanghai Jiao Tong University
Zhike Peng
Zhike Peng Shanghai Jiao Tong University
Xingjian Dong
Xingjian Dong Shanghai Jiao Tong University
Lin Ye
Lin Ye Southern University of Science and Technology
Hong-Xiang Zou
Hong-Xiang Zou Hunan Institute of Engineering
Zhongqing Su
Zhongqing Su Hong Kong Polytechnic University
Fulei Chu
Fulei Chu Tsinghua University
Zi-Qiang Lang
Zi-Qiang Lang University of Sheffield
Balakumar Balachandran
Balakumar Balachandran University of Maryland, College Park
Nilanjan Sarkar
Nilanjan Sarkar Vanderbilt University

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