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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
72
Citations
19258
World Ranking
337
National Ranking
43

Jun Li 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 Jun Li 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: 761 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.

Jun Li 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 Jun Li 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: 72 D-Index — 90th percentile

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

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

Overview

Jun Li is affiliated with the Chinese Academy of Sciences in China and has a research footprint primarily in engineering, with extensive work in civil and structural engineering.

The main fields of study Jun Li focuses on include:

  • Engineering

Within engineering, key subfields consist of:

  • Civil and Structural Engineering
  • Mechanics of Materials
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition

Jun Li's research topics cover areas such as:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Ultrasonics and Acoustic Wave Propagation
  • Concrete Corrosion and Durability
  • Structural Engineering and Vibration Analysis
  • Probabilistic and Robust Engineering Design
  • Optical measurement and interference techniques

Notable published papers include:

  • Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures (2022, Engineering Structures)
  • Vibration signal denoising for structural health monitoring by residual convolutional neural networks (2020, Measurement)
  • Computer vision based target-free 3D vibration displacement measurement of structures (2021, Engineering Structures)
  • Data driven structural dynamic response reconstruction using segment based generative adversarial networks (2021, Engineering Structures)
  • Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks (2020, Structural Health Monitoring)

Jun Li frequently coauthors with several researchers, including:

  • Hong Hao
  • Ling Li
  • Zhen Peng
  • Senjian An
  • Qilin Li

Publications are often found in venues such as:

  • Engineering Structures
  • Structural Control and Health Monitoring
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Structural Health Monitoring

Best Publications

  • Structural damage identification based on autoencoder neural networks and deep learning

    Chathurdara Sri Nadith Pathirage;Jun Li;Ling Li;Hong Hao;Hong Hao

  • Review of the current practices in blast-resistant analysis and design of concrete structures:

    Hong Hao;Yifei Hao;Jun Li;Wensu Chen

  • Numerical study of concrete spall damage to blast loads

    Jun Li;Hong Hao

  • Thermodynamic instability of a nanocrystalline, single-phase TiZrNbHfTa alloy and its impact on the mechanical properties

    B. Schuh;B. Völker;J. Todt;N. Schell

  • Managing carbon emissions in China through building energy efficiency

    Jun Li;Michel Colombier

  • Influences of nano-particles on dynamic strength of ultra-high performance concrete

    Yu Su;Yu Su;Jun Li;Jun Li;Chengqing Wu;Chengqing Wu;Pengtao Wu

  • An experimental and numerical study of reinforced ultra-high performance concrete slabs under blast loads

    Jun Li;Chengqing Wu;Chengqing Wu;Hong Hao

  • Effects of steel fibres on dynamic strength of UHPC

    Yu Su;Yu Su;Jun Li;Jun Li;Chengqing Wu;Chengqing Wu;Pengtao Wu

  • Investigation of ultra-high performance concrete slab and normal strength concrete slab under contact explosion

    Jun Li;Chengqing Wu;Chengqing Wu;Hong Hao

  • A comprehensive analysis of building energy efficiency policies in China: status quo and development perspective

    Jun Li;Bin Shui

  • Simulation of macrosegregation in a 2.45-ton steel ingot using a three-phase mixed columnar-equiaxed model

    Jun Li;Menghuai Wu;Andreas Ludwig;Abdellah Kharicha

  • Experimental investigation of ultra-high performance concrete slabs under contact explosions

    Jun Li;Jun Li;Chengqing Wu;Hong Hao;Zhongqi Wang

  • Behaviour of ultra high performance fibre reinforced concrete columns subjected to blast loading

    Juechun Xu;Chengqing Wu;Chengqing Wu;Hengbo Xiang;Yu Su;Yu Su

  • Towards a low-carbon future in China's building sector—A review of energy and climate models forecast

    Jun Li

  • Lost data recovery for structural health monitoring based on convolutional neural networks

    Gao Fan;Jun Li;Jun Li;Hong Hao

  • Experimental and numerical studies of ultra-high performance concrete targets against high-velocity projectile impacts

    Jian Liu;Chengqing Wu;Yu Su;Jun Li

  • A Review on Combustion Characteristics of Ammonia as a Carbon-Free Fuel

    Jun Li;Shini Lai;Danan Chen;Rongjun Wu

  • Substructure damage identification based on response reconstruction in frequency domain and model updating

    Jun Li;S.S. Law;Y. Ding

  • Energy and climate policy in China's twelfth five-year plan: A paradigm shift

    Jun Li;Xin Wang

  • Structural response reconstruction with transmissibility concept in frequency domain

    S.S. Law;Jun Li;Y. Ding

  • Development of novel ultra-high performance concrete: From material to structure

    Yu Su;Chengqing Wu;Jun Li;Zhong-Xian Li

Frequent Co-Authors

Hong Hao
Hong Hao Curtin University
Chengqing Wu
Chengqing Wu University of Technology Sydney
Zhigang Zhang
Zhigang Zhang Shanghai Jiao Tong University
Weisheng Hu
Weisheng Hu Shanghai Jiao Tong University
Cheng Huang
Cheng Huang Anhui Medical University
Xibing Li
Xibing Li Central South University
Wensu Chen
Wensu Chen Curtin University
Hongping Zhu
Hongping Zhu Huazhong University of Science and Technology
Kaiming Bi
Kaiming Bi Hong Kong Polytechnic University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University

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