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Mechanical and Aerospace Engineering
USA
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
85
Citations
27805
World Ranking
147
National Ranking
73

Gangbing Song 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 Gangbing Song 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: 705 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Gangbing Song 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 Gangbing Song 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: 85 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in United States Leader Award

Overview

Gangbing Song is a researcher affiliated with the University of Houston in the United States. Their primary field of study is engineering, with significant contributions spanning civil and structural engineering, mechanics of materials, mechanical engineering, ocean engineering, and electrical and electronic engineering.

Song's work extensively covers topics related to ultrasonics and acoustic wave propagation, structural health monitoring techniques, geophysical methods and applications, advanced fiber optic sensors, non-destructive testing techniques, vibration control and rheological fluids, and structural integrity and reliability analysis.

Frequent coauthors in Song's research include Linsheng Huo, Furui Wang, Yong Lv, Rui Yuan, and Changhang Xu, indicating collaborative work across multiple projects and publications.

Song's publications are often featured in journals focusing on materials, structural health, and mechanical systems. The most common publication venues include:

  • Structural Health Monitoring
  • Smart Materials and Structures
  • Journal of Intelligent Material Systems and Structures
  • Mechanical Systems and Signal Processing
  • Construction and Building Materials

Notable recent papers authored or coauthored by Song include:

  • An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform (2020), published in IEEE Sensors Journal
  • A novel percussion-based method for multi-bolt looseness detection using one-dimensional memory augmented convolutional long short-term memory networks (2021), published in Mechanical Systems and Signal Processing
  • Detection of subsurface voids in concrete-filled steel tubular (CFST) structure using percussion approach (2020), published in Construction and Building Materials
  • Monitoring of multi-bolt connection looseness using a novel vibro-acoustic method (2020), published in Nonlinear Dynamics
  • Bolt-looseness detection by a new percussion-based method using multifractal analysis and gradient boosting decision tree (2020), published in Structural Health Monitoring

Best Publications

  • Recent applications of fiber optic sensors to health monitoring in civil engineering

    Hong-Nan Li;Dong-Sheng Li;Gang-Bing Song;Gang-Bing Song

  • Applications of shape memory alloys in civil structures

    G. Song;N. Ma;H.-N. Li

  • Concrete structural health monitoring using embedded piezoceramic transducers

    G Song;H Gu;Y L Mo;T T C Hsu

  • Tracking control of a piezoceramic actuator with hysteresis compensation using inverse Preisach model

    G. Song;Jinqiang Zhao;Xiaoqin Zhou;J.A. De Abreu-Garcia

  • Smart aggregates: multi-functional sensors for concrete structures—a tutorial and a review

    Gangbing Song;Haichang Gu;Yi-Lung Mo

  • Concrete early-age strength monitoring using embedded piezoelectric transducers

    H Gu;G Song;H Dhonde;Y L Mo

  • Vibration control of civil structures using piezoceramic smart materials: A review

    G. Song;V. Sethi;H.-N. Li

  • Position control of shape memory alloy actuators with internal electrical resistance feedback using neural networks

    N. Ma;G. Song;H. J. Lee

  • A review of damage detection methods for wind turbine blades

    Dongsheng Li;Siu-Chun M Ho;Gangbing Song;Gangbing Song;Liang Ren

  • Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing

    Yong Lv;Rui Yuan;Gangbing Song

  • Inspection and monitoring systems subsea pipelines: A review paper:

    Michael Ho;Sami El-Borgi;Devendra Patil;Gangbing Song

  • Active interface debonding detection of a concrete-filled steel tube with piezoelectric technologies using wavelet packet analysis

    Bin Xu;Bin Xu;Ting Zhang;Gangbing Song;Haichang Gu

  • Proof-of-concept study of monitoring bolt connection status using a piezoelectric based active sensing method

    Tao Wang;Gangbing Song;Gangbing Song;Zhigang Wang;Yourong Li

  • Health monitoring and rehabilitation of a concrete structure using intelligent materials

    G Song;Y L Mo;K Otero;H Gu

  • Precision tracking control of shape memory alloy actuators using neural networks and a sliding-mode based robust controller

    G Song;V Chaudhry;C Batur

  • Very early age concrete hydration characterization monitoring using piezoceramic based smart aggregates

    Qingzhao Kong;Shuang Hou;Qing Ji;Y L Mo

  • Virtual and Remote Laboratory Development: A Review

    Xuemin Chen;Gangbing Song;Yongpeng Zhang

  • Experimental Damage Identification of Carbon/Epoxy Composite Beams Using Curvature Mode Shapes:

    Cole S. Hamey;Wahyu Lestari;Pizhong Qiao;Gangbing Song

  • An overheight vehicle–bridge collision monitoring system using piezoelectric transducers

    G Song;C Olmi;H Gu

  • VIBRATION SUPPRESSION OF FLEXIBLE SPACECRAFT DURING ATTITUDE CONTROL

    Gangbing Song;Brij N. Agrawal

  • Control of shape memory alloy actuator using pulse width modulation

    N Ma;G Song

Frequent Co-Authors

Hong-Nan Li
Hong-Nan Li Dalian University of Technology
Linsheng Huo
Linsheng Huo Dalian University of Technology
Yi-Lung Mo
Yi-Lung Mo University of Houston
Ning Wang
Ning Wang Dalian Maritime University
Jinping Ou
Jinping Ou Harbin Institute of Technology
Hui Li
Hui Li Harbin Institute of Technology
Karolos M. Grigoriadis
Karolos M. Grigoriadis University of Houston
Ranjan Mukherjee
Ranjan Mukherjee Michigan State University
Pizhong Qiao
Pizhong Qiao Shanghai Jiao Tong University
Richard W. Longman
Richard W. Longman Columbia University

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