Jiong Tang

Jiong Tang

University of Connecticut

H-index: 39

North America-United States

About Jiong Tang

Jiong Tang, With an exceptional h-index of 39 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of System Dynamics, Control, Sensing and Automation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Piezoelectric impedance-based high-accuracy damage identification using sparsity conscious multi-objective optimization inverse analysis

A Wavelet Neural Network Informed by Time-Domain Signal Preprocessing for Bearing Remaining Useful Life Prediction

Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations

Semi-Supervised Autoencoder With Joint Loss Learning for Bearing Fault Detection

Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey

Damage Detection of a Pressure Vessel with Smart Sensing and Deep Learning

Gearbox Fault Detection via Physics-Informed Parallel Deep Learning Model Architecture

A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification

Jiong Tang Information

University

Position

Mechanical Engineering Department The

Citations(all)

5395

Citations(since 2020)

2393

Cited By

3869

hIndex(all)

39

hIndex(since 2020)

25

i10Index(all)

100

i10Index(since 2020)

62

Email

University Profile Page

University of Connecticut

Google Scholar

View Google Scholar Profile

Jiong Tang Skills & Research Interests

System Dynamics

Control

Sensing and Automation

Top articles of Jiong Tang

Title

Journal

Author(s)

Publication Date

Piezoelectric impedance-based high-accuracy damage identification using sparsity conscious multi-objective optimization inverse analysis

Mechanical Systems and Signal Processing

Yang Zhang

Kai Zhou

Jiong Tang

2024/3/1

A Wavelet Neural Network Informed by Time-Domain Signal Preprocessing for Bearing Remaining Useful Life Prediction

Applied Mathematical Modelling

Kai Zhou

Jiong Tang

2023/6/3

Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations

J Arun Pandian

K Kanchanadevi

Dhilip Kumar

Oana Geman

2023/2/2

Semi-Supervised Autoencoder With Joint Loss Learning for Bearing Fault Detection

Kai Zhou

Yang Zhang

Jiong Tang

2023/8/20

Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey

Kai Zhou

Zequn Wang

Yi-Qing Ni

Yang Zhang

Jiong Tang

2023/6/1

Damage Detection of a Pressure Vessel with Smart Sensing and Deep Learning

IFAC-PapersOnLine

Yang Zhang

Qianyu Zhou

Kai Zhou

Jiong Tang

2023/1/1

Gearbox Fault Detection via Physics-Informed Parallel Deep Learning Model Architecture

Qianyu Zhou

Jiong Tang

2023/8/20

A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification

Structural and Multidisciplinary Optimization

Pei Cao

Yang Zhang

Kai Zhou

J Tang

2023/1

Structural damage identification using piezoelectric impedance sensing with enhanced optimization and enriched measurements

Yang Zhang

Joshua Dupont

Ting Wang

Kai Zhou

Jiong Tang

2023/4/18

Recent advances in uncertainty quantification in structural response characterization and system identification

Kai Zhou

Zequn Wang

Qingbin Gao

Sichen Yuan

Jiong Tang

2023/8/16

On Integration of Vibration Suppression and Energy Harvesting Through Piezoelectric Shunting With Negative Capacitance

IEEE/ASME Transactions on Mechatronics

Ting Wang

Joshua Dupont

Jiong Tang

2023/3/9

Tunable elastic wave modulation via local phase dispersion measurements of a piezoelectric metasurface with signal correlation enhancement

Journal of Applied Physics

Joshua Dupont

Ting Wang

Richard Christenson

Jiong Tang

2023/6/28

Directed Gaussian process metamodeling with improved firefly algorithm (iFA) for composite manufacturing uncertainty propagation analysis

The International Journal of Advanced Manufacturing Technology

Amit Kumar Ball

Kai Zhou

Dong Xu

Dianyun Zhang

Jiong Tang

2023/5

Part Surface Inspection Through Semi-Supervised Learning to Overcome Limited Data Challenge

Qianyu Zhou

Jiong Tang

2023/6/12

Finite Element Simulation of Gleeble Testing Toward Thermomechanical Analysis of Alloy Materials

Dong Xu

Kevin J Zhang

Lesley D Frame

Jeongho Kim

Jiong Tang

2023/8/20

Mixed-Input Bayesian Optimization Method for Structural Damage Diagnosis

IEEE Transactions on Reliability

Congfang Huang

Jaesung Lee

Yang Zhang

Shiyu Zhou

Jiong Tang

2022/6/14

Probabilistic Gear Fault Diagnosis Using Bayesian Convolutional Neural Network

IFAC-PapersOnLine

Kai Zhou

Jiong Tang

2022/1/1

Hierarchical multi-response Gaussian processes for uncertainty analysis with multi-scale composite manufacturing simulation

Computational Materials Science

Kai Zhou

Ryan Enos

Dong Xu

Dianyun Zhang

Jiong Tang

2022/5/1

Probabilistic Multi-Objective Inverse Analysis for Damage Identification Using Piezoelectric Impedance Measurement Under Uncertainties

Frontiers in Built Environment

Kai Zhou

Yang Zhang

Qi Shuai

Jiong Tang

2022

Enhanced passive vibration suppression using self-powered piezoelectric circuitry integration

Ting Wang

Joshua Dupont

Jiong Tang

2022/4/20

See List of Professors in Jiong Tang University(University of Connecticut)