World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
11551
World Ranking
2828
National Ranking
146

Overview

Jianchun Li is affiliated with the University of Technology Sydney in Australia and has made significant contributions across engineering disciplines, particularly in civil and structural engineering. Their research spans a range of subfields including mechanical engineering, mechanics of materials, biomedical engineering, and artificial intelligence.

The primary focus of Jianchun Li's work addresses topics related to structural health monitoring techniques, vibration control and rheological fluids, and structural engineering and vibration analysis. Additional areas of research include infrastructure maintenance and monitoring, concrete corrosion and durability, seismic performance and analysis, and ultrasonics and acoustic wave propagation.

Publication activity includes frequent appearances in notable venues, reflecting a broad engagement with the scientific community. Some of the key publication venues with multiple papers are:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Engineering Structures
  • Construction and Building Materials
  • International Journal of Structural Stability and Dynamics

Jianchun Li has collaborated extensively with several co-authors, among whom the most frequent include:

  • Xinqun Zhu
  • Yang Yu
  • Yancheng Li
  • Wenhua Yuan
  • Huan Li

Recent publications demonstrate a range of focus areas and methodologies. Some notable papers include:

  • "Negative stiffness devices for vibration isolation applications: A review" (2020) published in Advances in Structural Engineering
  • "A systematic review of data fusion techniques for optimized structural health monitoring" (2023) published in Information Fusion
  • "Design and analysis of a broadband three-beam impact piezoelectric energy harvester for low-frequency rotational motion" (2020) published in Mechanical Systems and Signal Processing
  • "Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network" (2022) published in Engineering Structures
  • "Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion" (2023) published in Developments in the Built Environment

Best Publications

  • A state-of-the-art review on magnetorheological elastomer devices

    Yancheng Li;Jianchun Li;Weihua Li;Haiping Du

  • A review of the structure, and fundamental mechanisms and kinetics of the leaching of chalcopyrite.

    Y. Li;N. Kawashima;J. Li;A.P. Chandra

  • A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization

    N.M. Kwok;Q.P. Ha;T.H. Nguyen;J. Li

  • Development and characterization of a magnetorheological elastomer based adaptive seismic isolator

    Yancheng Li;Jianchun Li;Weihua Li;Bijan Samali

  • A novel deep learning-based method for damage identification of smart building structures:

    Yang Yu;Chaoyue Wang;Xiaoyu Gu;Jianchun Li

  • Bouc-Wen model parameter identification for a MR fluid damper using computationally efficient GA.

    N.M. Kwok;Q.P. Ha;M.T. Nguyen;J. Li

  • A highly adjustable magnetorheological elastomer base isolator for applications of real-time adaptive control

    Yancheng Li;Jianchun Li;Tongfei Tian;Weihua Li

  • Experimental study of stress wave propagation across a filled rock joint

    J.C. Li;Guowei Ma

  • Influence of compositional ratio K/Na on physical properties in (KxNa1−x)NbO3 ceramics

    L. Wu;J. L. Zhang;C. L. Wang;J. C. Li

  • Negative stiffness devices for vibration isolation applications: A review:

    Huan Li;Yancheng Li;Yancheng Li;Jianchun Li

  • Experimental study and modeling of a novel magnetorheological elastomer isolator

    Jian Yang;Haiping Du;Weihua Li;Yancheng Li

  • Analysis of Blast Wave Interaction with a Rock Joint

    Jianchun Li;Guowei Ma

  • A novel optimised self-learning method for compressive strength prediction of high performance concrete

    Yang Yu;Wengui Li;Jianchun Li;Thuc N. Nguyen

  • An SHPB test study on wave propagation across rock masses with different contact area ratios of joint

    J.C. Li;N.N. Li;H.B. Li;J. Zhao

  • An equivalent viscoelastic model for rock mass with parallel joints

    Jianchun Li;Guowei Ma;Jian Zhao

  • Assessment of underground tunnel stability to adjacent tunnel explosion

    J.C. Li;H.B. Li;G.W. Ma;Y.X. Zhou

  • In situ assessment of structural timber using stress-wave measurements

    Ulrike Dackermann;Keith Crews;Bohumil Kasal;Jianchun Li

  • Theoretical damage characterisation and damage evolution process of intact rocks based on linear energy dissipation law under uniaxial compression

    Unknown

  • Damage identification in civil engineering structures utilizing PCA-compressed residual frequency response functions and neural network ensembles

    Jianchun Li;Ulrike Dackermann;You Lin Xu;Bijan Samali

  • Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network

    Unknown

  • Analysis of Wave Propagation Through a Filled Rock Joint

    Jianchun Li;Guowei Ma;Xin Huang

  • Seismic response of a single and a set of filled joints of viscoelastic deformational behaviour

    Jianbo Zhu;Andrea Perino;GaoFeng Zhao;Giovanni B Barla

Frequent Co-Authors

Bijan Samali
Bijan Samali Western Sydney University
Lin Ye
Lin Ye Southern University of Science and Technology
Ngaiming Kwok
Ngaiming Kwok University of New South Wales
Weihua Li
Weihua Li University of Wollongong
You-Lin Xu
You-Lin Xu Hong Kong Polytechnic University
Xinqun Zhu
Xinqun Zhu University of Technology Sydney
Wengui Li
Wengui Li University of New South Wales
Chengqing Wu
Chengqing Wu University of Technology Sydney
Kejin Wang
Kejin Wang Iowa State University
Vivian W.Y. Tam
Vivian W.Y. Tam Western Sydney University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Jianchun Li

Trending Scientists

Recently Published Articles