World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
62
Citations
15201
World Ranking
1883
National Ranking
376

Overview

Yi-Qing Ni is affiliated with the Hong Kong Polytechnic University in China and specializes in the field of engineering, with a substantial focus on civil and structural engineering. Their research explores a range of subfields including mechanical engineering, aerospace engineering, mechanics of materials, and environmental engineering.

The scientist has contributed extensively to topics primarily centered on structural health and infrastructure monitoring techniques. Key research areas include:

  • Structural Health Monitoring Techniques
  • Aerodynamics and Fluid Dynamics Research
  • Wind and Air Flow Studies
  • Railway Engineering and Dynamics
  • Infrastructure Maintenance and Monitoring
  • Fluid Dynamics and Vibration Analysis
  • Ultrasonics and Acoustic Wave Propagation

Yi-Qing Ni's publication record demonstrates a focus on practical and theoretical approaches in engineering, with notable papers including:

  • "A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations" (2022) in Journal of Computational Physics
  • "In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures" (2022) in Nano Today
  • "Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder" (2022) in Small
  • "A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data" (2020) in Engineering Structures
  • "Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model" (2020) in Mechanical Systems and Signal Processing

The scientist's work frequently appears in specific publication venues that align closely with their research topics, including:

  • Structural Control and Health Monitoring
  • SSRN Electronic Journal
  • Mechanical Systems and Signal Processing
  • Engineering Structures
  • Structural Health Monitoring

Collaboration is a notable aspect of Yi-Qing Ni's research output. Frequent coauthors include:

  • You-Wu Wang
  • E Deng
  • Zhengwei Chen
  • Su-Mei Wang
  • Weichao Yang

Their research contribution within civil and structural engineering, coupled with mechanical and aerospace engineering subfields, demonstrates a multidisciplinary approach to engineering challenges. Yi-Qing Ni's body of work encompasses a blend of experimental, computational, and applied engineering studies, particularly emphasizing monitoring and condition assessment technologies for infrastructure and transportation systems.

Best Publications

  • Technology developments in structural health monitoring of large-scale bridges

    J. M. Ko;Yiqing Ni

  • Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge: Background and experimental observation

    T. H.T. Chan;L. Yu;Hwa Yaw Tam;Yiqing Ni

  • Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower

    Y. Q. Ni;Y. Xia;W. Y. Liao;J. M. Ko

  • Correlating modal properties with temperature using long-term monitoring data and support vector machine technique

    Yiqing Ni;X. G. Hua;K. Q. Fan;J. M. Ko

  • In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures

    Unknown

  • Temperature effect on vibration properties of civil structures: a literature review and case studies

    Yong Xia;Bo Chen;Shun Weng;Yiqing Ni

  • A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations

    Unknown

  • Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge

    J.M. Ko;Z.G. Sun;Y.Q. Ni

  • Bayesian multi-task learning methodology for reconstruction of structural health monitoring data:

    Hua Ping Wan;Yi Qing Ni

  • Structural Health Monitoring of Large Civil Engineering Structures

    Unknown

  • Real-time safety early warning system for cross passage construction in Yangtze Riverbed Metro Tunnel based on the internet of things

    L.Y. Ding;C. Zhou;Q.X. Deng;H.B. Luo

  • Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder.

    Unknown

  • Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data

    X. W. Ye;Yiqing Ni;K. Y. Wong;J. M. Ko

  • Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique

    X. G. Hua;Yiqing Ni;J. M. Ko;K. Y. Wong

  • DYNAMIC ANALYSIS OF LARGE-DIAMETER SAGGED CABLES TAKING INTO ACCOUNT FLEXURAL RIGIDITY

    Y.Q. Ni;J.M. Ko;G. Zheng

  • IDENTIFICATION OF NON-LINEAR HYSTERETIC ISOLATORS FROM PERIODIC VIBRATION TESTS

    Yiqing Ni;J. M. Ko;C. W. Wong

  • Field observations of rain-wind-induced cable vibration in cable-stayed Dongting Lake Bridge

    Yq Q. Ni;Xy Y. Wang;Zq Q. Chen;Jm M. Ko

  • Dual-core photonic Crystal fiber for dispersion compensation

    Yi Ni;Lei Zhang;Liang An;Jiangde Peng

  • Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks

    Yiqing Ni;X. T. Zhou;J. M. Ko

  • Theoretical and experimental modal analysis of the Guangzhou New TV Tower

    W.H. Chen;Z.R. Lu;W. Lin;S.H. Chen

  • Assessment of Bridge Expansion Joints Using Long-Term Displacement and Temperature Measurement

    Yq Q. Ni;Xg G. Hua;Ky Y. Wong;Jm M. Ko

  • A vision-based system for dynamic displacement measurement of long-span bridges : algorithm and verification

    X.W. Ye;Y.Q. Ni;T.T. Wai;K.Y. Wong

  • MR damping system for mitigating wind-rain induced vibration on Dongting Lake cable-stayed bridge

    Z.Q. Chen;X.Y. Wang;J.M. Ko;Y.Q. Ni

  • An improved perturbation method for stochastic finite element model updating

    Xg G. Hua;Xg G. Hua;Yq Q. Ni;Zq Q. Chen;Jm M. Ko

  • Neuro-control of cable vibration using semi-active magneto-rheological dampers

    Y.Q. Ni;Y. Chen;J.M. Ko;D.Q. Cao

  • RANDOM SEISMIC RESPONSE ANALYSIS OF ADJACENT BUILDINGS COUPLED WITH NON-LINEAR HYSTERETIC DAMPERS

    Yiqing Ni;J. M. Ko;Z. G. Ying

  • A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data

    Y.Q. Ni;Y.W. Wang;C. Zhang

  • State-derivative feedback control of cable vibration using semiactive magnetorheological dampers

    Y. F. Duan;Yiqing Ni;J. M. Ko

Frequent Co-Authors

Jm M. Ko
Jm M. Ko Hong Kong Polytechnic University
Tommy H.T. Chan
Tommy H.T. Chan Queensland University of Technology
Baoguo Han
Baoguo Han Dalian University of Technology
Billie F. Spencer
Billie F. Spencer University of Illinois at Urbana-Champaign
Dan Wang
Dan Wang Hong Kong Polytechnic University
Chin-Hsiung Loh
Chin-Hsiung Loh National Taiwan University
You-Lin Xu
You-Lin Xu Hong Kong Polytechnic University
Siu Wing Or
Siu Wing Or Hong Kong Polytechnic University
Xun Yu
Xun Yu New York Institute of Technology
Jinping Ou
Jinping Ou Harbin Institute of Technology

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