World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
35
Citations
5421
World Ranking
2631
National Ranking
928

Research.com Recognitions

  • 2018 - Fellow of the American Society of Mechanical Engineers

Overview

Jiong Tang is affiliated with the University of Connecticut in the United States and has contributed extensively to the field of engineering, with a particular focus on civil and structural engineering, mechanical engineering, control and systems engineering, mechanics of materials, and statistics, probability, and uncertainty. Their research spans various subfields and integrates advanced methodologies for structural health monitoring and fault diagnosis.

They have published at least 137 works primarily dealing with engineering topics. Their subfield expertise includes:

  • Civil and Structural Engineering
  • Mechanical Engineering
  • Control and Systems Engineering
  • Mechanics of Materials
  • Statistics, Probability and Uncertainty

The main research topics explored in their publications cover:

  • Structural Health Monitoring Techniques
  • Probabilistic and Robust Engineering Design
  • Ultrasonics and Acoustic Wave Propagation
  • Non-Destructive Testing Techniques
  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Acoustic Wave Phenomena Research

Jiong Tang has authored numerous papers, with some recent works including:

  • Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations, 2022, published in Mechanical Systems and Signal Processing
  • Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network, 2020, published in The International Journal of Advanced Manufacturing Technology
  • Structural model updating using adaptive multi-response Gaussian process meta-modeling, 2020, published in Mechanical Systems and Signal Processing
  • A wavelet neural network informed by time-domain signal preprocessing for bearing remaining useful life prediction, 2023, published in Applied Mathematical Modelling
  • Harnessing fuzzy neural network for gear fault diagnosis with limited data labels, 2021, published in The International Journal of Advanced Manufacturing Technology

Their frequent collaborators include Kai Zhou, Yang Zhang, Joshua Dupont, Qianyu Zhou, and Dianyun Zhang, reflecting a strong collaborative research network.

Jiong Tang commonly publishes work in the following venues:

  • The International Journal of Advanced Manufacturing Technology
  • IFAC-PapersOnLine
  • Mechanical Systems and Signal Processing
  • arXiv (Cornell University)
  • Computational Materials Science

In recognition of their professional contributions, they were named a Fellow of the American Society of Mechanical Engineers in 2018.

Best Publications

  • A new dynamic model for predicting transient phenomena in a PEM fuel cell system

    P.R. Pathapati;X. Xue;J. Tang

  • Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

    Pei Cao;Shengli Zhang;Jiong Tang

  • Active-passive hybrid piezoelectric networks for vibration control: comparisons and improvement

    J Tang;K W Wang

  • Structural damage detection using neural network with learning rate improvement

    X. Fang;H. Luo;J. Tang

  • Dynamic modeling of single tubular SOFC combining heat/mass transfer and electrochemical reaction effects

    X. Xue;J. Tang;Nigel M. Sammes;Yanhai Du

  • Multi-directional energy harvesting by piezoelectric cantilever-pendulum with internal resonance

    J. Xu;J. Tang

  • System level lumped-parameter dynamic modeling of PEM fuel cell

    X. Xue;J. Tang;A. Smirnova;R. England

  • Development of a Classification System for Engineering Student Characteristics Affecting College Enrollment and Retention

    Qing Li;Hariharan Swaminathan;Jiong Tang

  • Adaptive pitch control of wind turbine for load mitigation under structural uncertainties

    Yuan Yuan;J. Tang

  • Development of an Instrument to Measure Perspectives of Engineering Education Among College Students

    Qing Li;D. Betsy McCoach;Hariharan Swaminathan;Jiong Tang

  • Granular Damping in Forced Vibration: Qualitative and Quantitative Analyses

    X. Fang;J. Tang

  • Design of a linear-motion dual-stage actuation system for precision control

    W Dong;J Tang;Y ElDeeb

  • Tunable modulation of refracted lamb wave front facilitated by adaptive elastic metasurfaces

    Shilong Li;Jiawen Xu;J. Tang

  • An enhanced frequency-shift-based damage identification method using tunable piezoelectric transducer circuitry

    L J Jiang;J Tang;K W Wang

  • Development and analysis of a bridge-lever-type displacement amplifier based on hybrid flexure hinges

    Wei Dong;Fangxin Chen;Futian Gao;Miao Yang

  • Vibration control of rotationally periodic structures using passive piezoelectric shunt networks and active compensation

    J. Tang;K. W. Wang

  • Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network

    Mingxuan Liang;Pei Cao;J. Tang

  • Modeling and analysis of piezoelectric cantilever-pendulum system for multi-directional energy harvesting:

    Jiawen Xu;Jiong Tang

  • Vibration Delocalization of Nearly Periodic Structures Using Coupled Piezoelectric Networks

    J. Tang;K. W. Wang

  • Vibration Confinement via Optimal Eigenvector Assignment and Piezoelectric Networks

    J. Tang;K. W. Wang

  • Crack induced vibration localization in simplified bladed-disk structures

    X. Fang;J. Tang;E. Jordan;K.D. Murphy

  • Damage detection using piezoelectric transducers and the Lamb wave approach: I. System analysis

    X Wang;Y Lu;J Tang

  • Semiactive and active-passive hybrid structural damping treatments via piezoelectric materials

    J. Tang;Y. Liu;K. W. Wang

  • Tunable prism based on piezoelectric metamaterial for acoustic beam steering

    J. Xu;J. Tang

  • Integrating angle-frequency domain synchronous averaging technique with feature extraction for gear fault diagnosis

    Shengli Zhang;J. Tang

Frequent Co-Authors

Robert X. Gao
Robert X. Gao Case Western Reserve University
Yu Ding
Yu Ding Georgia Institute of Technology
Nigel Sammes
Nigel Sammes Pohang University of Science and Technology
Kon-Well Wang
Kon-Well Wang University of Michigan–Ann Arbor
Chengyu Cao
Chengyu Cao University of Connecticut
Ranga Pitchumani
Ranga Pitchumani Virginia Tech
D. Betsy McCoach
D. Betsy McCoach University of Connecticut
Ruqiang Yan
Ruqiang Yan Xi'an Jiaotong University
Jianhua Z. Huang
Jianhua Z. Huang Texas A&M University
Wei Chen
Wei Chen Northwestern University

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