Kelvin Wang

Kelvin Wang

Oklahoma State University

H-index: 37

North America-United States

About Kelvin Wang

Kelvin Wang, With an exceptional h-index of 37 and a recent h-index of 28 (since 2020), a distinguished researcher at Oklahoma State University, specializes in the field of pavement evaluation, deep-learning, automated condition survey, 3D laser imaging.

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

Automated pixel-level pavement marking detection based on a convolutional transformer

Robust Semantic Segmentation for Automatic Crack Detection Within Pavement Images Using Multi-Mixing of Global Context and Local Image Features

Repair Evaluations of Depressed Transverse Cracks in Asphalt Pavements

Automatic Pixel-level pavement sealed crack detection using Multi-fusion U-Net network

Data Envelopment Analysis for the Selection of Highway–Rail Grade Separation Projects

Reconstruction of sub‐mm 3D pavement images using recursive generative adversarial network for faster texture measurement

Field Condition Evaluation of Pavement with Dry Process Ground Tire Rubber (GTR) in Oklahoma

Deep learning based image reconstruction at any speeds for faster pavement texture measurement using 3D laser technology

Kelvin Wang Information

University

Position

University of Arkansas

Citations(all)

5888

Citations(since 2020)

3927

Cited By

6382

hIndex(all)

37

hIndex(since 2020)

28

i10Index(all)

109

i10Index(since 2020)

67

Email

University Profile Page

Oklahoma State University

Google Scholar

View Google Scholar Profile

Kelvin Wang Skills & Research Interests

pavement evaluation

deep-learning

automated condition survey

3D laser imaging

Top articles of Kelvin Wang

Title

Journal

Author(s)

Publication Date

Automated pixel-level pavement marking detection based on a convolutional transformer

Engineering Applications of Artificial Intelligence

Hang Zhang

Anzheng He

Zishuo Dong

Allen A Zhang

Yang Liu

...

2024/7/1

Robust Semantic Segmentation for Automatic Crack Detection Within Pavement Images Using Multi-Mixing of Global Context and Local Image Features

IEEE Transactions on Intelligent Transportation Systems

Hang Zhang

Allen A Zhang

Zishuo Dong

Anzheng He

Yang Liu

...

2024/2/13

Repair Evaluations of Depressed Transverse Cracks in Asphalt Pavements

Sagar Ghos

Kenneth Hobson

Dar-Hao Chen

Syed Ashik Ali

Musharraf Zaman

...

2023

Automatic Pixel-level pavement sealed crack detection using Multi-fusion U-Net network

Measurement

Jing Shang

Jie Xu

Allen A Zhang

Yang Liu

Kelvin CP Wang

...

2023/2/28

Data Envelopment Analysis for the Selection of Highway–Rail Grade Separation Projects

Journal of transportation engineering, Part A: Systems

Xue “Helen” Yang

Joshua Qiang Li

Chaohui Wang

Kelvin Wang

Jared Schwennesen

2023/6/1

Reconstruction of sub‐mm 3D pavement images using recursive generative adversarial network for faster texture measurement

Computer‐Aided Civil and Infrastructure Engineering

Guolong Wang

Kelvin CP Wang

Guangwei Yang

2023/11

Field Condition Evaluation of Pavement with Dry Process Ground Tire Rubber (GTR) in Oklahoma

Guolong Wang

Guangwei Yang

Kelvin CP Wang

Joshua Qiang Li

Wenyao Liu

2023

Deep learning based image reconstruction at any speeds for faster pavement texture measurement using 3D laser technology

International Journal of Pavement Engineering

Guolong Wang

Kelvin CP Wang

Guangwei Yang

2023/1/28

Automated Pixel-Level Detection of Expansion Joints on Asphalt Pavement Using a Deep-Learning-Based Approach

Structural Control and Health Monitoring

Anzheng He

Zishuo Dong

Hang Zhang

Allen A Zhang

Shi Qiu

...

2023/5/23

A lightweight encoder–decoder network for automatic pavement crack detection

Computer‐Aided Civil and Infrastructure Engineering

Guijie Zhu

Jiacheng Liu

Zhun Fan

Duan Yuan

Peili Ma

...

2023/10

A machine learning tool for pavement design and analysis

KSCE Journal of Civil Engineering

Guangwei Yang

Kamyar C Mahboub

Ryan L Renfro

Clark Graves

Kelvin CP Wang

2023/1

Deep-learning based non-contact method for assessing pavement skid resistance using 3D laser imaging technology

International Journal of Pavement Engineering

Guangwei Yang

Allen A Zhang

Kelvin CP Wang

Joshua Qiang Li

Wenyao Liu

...

2023/1/28

Selection of at-grade highway-rail crossings for grade separation

International Journal of Rail Transportation

Xue Yang

Joshua Q Li

Wenyao Liu

Kelvin CP Wang

Jim Hatt

...

2023/3/4

Intelligent pixel-level pavement marking detection using 2D laser pavement images

Measurement

Zishuo Dong

Hang Zhang

Allen A Zhang

Yang Liu

Zhihao Lin

...

2023/9/30

3D Imaging based pavement texture evaluation

International Journal of Pavement Engineering

Shihai Ding

Guangwei Yang

Kelvin CP Wang

Enhui Yang

Aonan Zhan

2023/1/28

Policy Gradient–Based Focal Loss to Reduce False Negative Errors of Convolutional Neural Networks for Pavement Crack Segmentation

Journal of Infrastructure Systems

Enhui Yang

Youzhi Tang

Allen A Zhang

Kelvin CP Wang

Yanjun Qiu

2023/3/1

Evaluation of Bridge Approach Slab and Dynamic Load Allowance Using Sub-mm 3D Laser Imaging Technology

Journal of Bridge Engineering

Guolong Wang

Kelvin CP Wang

Guangwei Yang

Joshua Qiang Li

Walt Peters

2023/7/1

Automated Detection of Pavement Manhole on Asphalt Pavements with an Improved YOLOX

Journal of Infrastructure Systems

Hang Zhang

Jing Shang

Zishuo Dong

Anzheng He

Allen A Zhang

...

2023/12/1

A deep and multiscale network for pavement crack detection based on function-specific modules

Smart Structures and Systems

Guolong Wang

Kelvin CP Wang

Allen A Zhang

Guangwei Yang

2023

Long-Term Performance and Safety Implications of High-Friction Surfacing Treatments

Journal of Transportation Engineering, Part B: Pavements

Wenyao Liu

Joshua Qiang Li

Guangwei Yang

Kelvin CP Wang

Bryan Wilson

...

2023/3/1

See List of Professors in Kelvin Wang University(Oklahoma State University)