World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
72
Citations
19258
World Ranking
336
National Ranking
43

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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