Young-Jin Kang

Young-Jin Kang

Pusan National University

H-index: 12

Asia-South Korea

About Young-Jin Kang

Young-Jin Kang, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at Pusan National University, specializes in the field of Uncertainty quantification, Statistical modeling, Optimization, Reliability analysis, Data-Driven Design.

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

NOx emission reduction of coal‐fired power plants through data‐driven model and particle swarm optimization

An integrated grey-box model for accurate ship engine performance prediction under varying speed and environmental conditions

Development of Customized Insole Design Framework Based on Digital Twin

Ship collision avoidance route planning using CRI-based A∗ algorithm

Digital Twin Data-Driven Multi-Disciplinary and Multi-Objective Optimization Framework for Automatic Design of Negative Stiffness Honeycomb

Bearing Fault Degradation Modeling Based on Multi-time Windows Fusion Unsupervised Health Indicator

Hierarchical level fault detection and diagnosis of ship engine systems

Hybrid data-scaling method for fault classification of compressors

Young-Jin Kang Information

University

Position

Postdoctoral Researcher

Citations(all)

295

Citations(since 2020)

242

Cited By

117

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

Pusan National University

Google Scholar

View Google Scholar Profile

Young-Jin Kang Skills & Research Interests

Uncertainty quantification

Statistical modeling

Optimization

Reliability analysis

Data-Driven Design

Top articles of Young-Jin Kang

Title

Journal

Author(s)

Publication Date

NOx emission reduction of coal‐fired power plants through data‐driven model and particle swarm optimization

Environmental Progress & Sustainable Energy

Misganaw Abebe

Jin Seo

Young‐Jin Kang

Hyunho Choi

Yoojeong Noh

2024/1/12

An integrated grey-box model for accurate ship engine performance prediction under varying speed and environmental conditions

International Journal of Engine Research

Sunyoung Park

Yoojeong Noh

Young-Jin Kang

Jaechul Sim

Minsung Jang

2024/1/11

Development of Customized Insole Design Framework Based on Digital Twin

International Journal of Precision Engineering and Manufacturing

Jungmi Kim

Juyoung Choi

Young-Jin Kang

Yoojeong Noh

2024/1/20

Ship collision avoidance route planning using CRI-based A∗ algorithm

International Journal of Naval Architecture and Ocean Engineering

Chanhee Seo

Yoojeong Noh

Misganaw Abebe

Young-Jin Kang

Sunyoung Park

...

2023/1/1

Digital Twin Data-Driven Multi-Disciplinary and Multi-Objective Optimization Framework for Automatic Design of Negative Stiffness Honeycomb

International Journal of Precision Engineering and Manufacturing

Juyoung Choi

Hyungdo Kim

Taemin Noh

Young-Jin Kang

Yoojeong Noh

2023/8

Bearing Fault Degradation Modeling Based on Multi-time Windows Fusion Unsupervised Health Indicator

IEEE Sensors Journal

Solichin Mochammad

Yoojeong Noh

Young-Jin Kang

2023/7/14

Hierarchical level fault detection and diagnosis of ship engine systems

Expert Systems with Applications

Young-Jin Kang

Yoojeong Noh

Min-Sung Jang

Sunyoung Park

Ju-Tae Kim

2023/3/1

Hybrid data-scaling method for fault classification of compressors

Measurement

Seung-il Kim

Yoojeong Noh

Young-Jin Kang

Sunhwa Park

Jang-Woo Lee

...

2022/9/30

Combining Correlation Technique with Exhaustive Search Feature Selection Method for Rotating Machinery Fault Diagnosis

Mochammad Solichin

Yoojeong Noh

Young-Jin Kang

2022/8/19

Ship trajectory planning for collision avoidance using hybrid ARIMA-LSTM models

Ocean Engineering

Misganaw Abebe

Yoojeong Noh

Young-Jin Kang

Chanhee Seo

Donghyun Kim

...

2022/7/15

Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification

Sensors

Solichin Mochammad

Yoojeong Noh

Young-Jin Kang

Sunhwa Park

Jangwoo Lee

...

2022/3/11

Adaptive Feature Selection Method using Multi-Filter Clustering for Bearing Fault Diagnosis

대한기계학회 춘추학술대회

Solichin Mochammad

Yoojeong Noh

Young-Jin Kang

2021/11

Integration of Extra-Trees Classifier with Exhaustive Technique as a Feature Selection Method for Rotating Machinery Fault Diagnosis

대한기계학회 춘추학술대회

Solichin Mochammad

Yoojeong Noh

Young-Jin Kang

2021/8

Stable hybrid feature selection method for compressor fault diagnosis

IEEE Access

Solichin Mochammad

Young-Jin Kang

Yoojeong Noh

Sunhwa Park

Byeongha Ahn

2021/6/28

Fault classification model based on time domain feature extraction of vibration data

Journal of the Computational Structural Engineering Institute of Korea

Seung-il Kim

Yoojeong Noh

Young-jin Kang

Sunhwa Park

Byungha Ahn

2021

Industrial issues and solutions to statistical model improvement: a case study of an automobile steering column

Structural and Multidisciplinary Optimization

Hyejeong Son

Guesuk Lee

Kyeonghwan Kang

Young-Jin Kang

Byeng D Youn

...

2020/4

A deep-learning approach for foot-type classification using heterogeneous pressure data

Sensors

Jonghyeok Chae

Young-Jin Kang

Yoojeong Noh

2020/8/11

See List of Professors in Young-Jin Kang University(Pusan National University)