Wen Liu

Wen Liu

Chiba University

H-index: 24

Asia-Japan

About Wen Liu

Wen Liu, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at Chiba University, specializes in the field of remote sensing, SAR, satellite, earthquake, disaster.

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

Prediction and Factor Analysis of Liquefaction Ground Subsidence Based on Machine-Learning Techniques

Extraction of damaged urban areas due to the 2023 Kahramanmaraş, Turkey, earthquake using ALOS-2 images

Emergency Inundation Analysis of the August 2021 Japan Floods Using SAR Intensity Images

Damage Assessment of Debris Flow in Atami City, Japan, Based on Field Survey and High-Resolution SAR Data

Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models

Estimation of Landslides Due to the Combined Disaster of Earthquake and Heavy Rainfall Using Multi-Temporal Lidar Data

Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake

Recovery monitoring of Minami-Aso area after the 2016 Kumamoto earthquake based on remote sensing data

Wen Liu Information

University

Position

___

Citations(all)

1867

Citations(since 2020)

1159

Cited By

1159

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

46

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Wen Liu Skills & Research Interests

remote sensing

SAR

satellite

earthquake

disaster

Top articles of Wen Liu

Prediction and Factor Analysis of Liquefaction Ground Subsidence Based on Machine-Learning Techniques

Applied Sciences

2024/3/23

Wen Liu
Wen Liu

H-Index: 16

Extraction of damaged urban areas due to the 2023 Kahramanmaraş, Turkey, earthquake using ALOS-2 images

2023/10/23

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Wen Liu
Wen Liu

H-Index: 16

Emergency Inundation Analysis of the August 2021 Japan Floods Using SAR Intensity Images

2023/10/23

Wen Liu
Wen Liu

H-Index: 16

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Damage Assessment of Debris Flow in Atami City, Japan, Based on Field Survey and High-Resolution SAR Data

2023/7/16

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Wen Liu
Wen Liu

H-Index: 16

Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models

2023/7/16

Estimation of Landslides Due to the Combined Disaster of Earthquake and Heavy Rainfall Using Multi-Temporal Lidar Data

2023/7/16

Wen Liu
Wen Liu

H-Index: 16

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake

Remote Sensing

2022/11/25

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Wen Liu
Wen Liu

H-Index: 16

Recovery monitoring of Minami-Aso area after the 2016 Kumamoto earthquake based on remote sensing data

Proceedings of the 8th Asia Conference on Earthquake Engineering, Taipei, Taiwan

2022/11

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Wen Liu
Wen Liu

H-Index: 16

Assessment of Aqueduct Bridge Failure in Wakayama City, Japan, Based on Uav Surveying Flights and High-Resolution Sar Data

2022/7/17

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Wen Liu
Wen Liu

H-Index: 16

Damage detection and level classification of roof damage after Typhoon Faxai based on aerial photos and deep learning

Applied Sciences

2022/5/12

Detection of Hazard‐Damaged Bridges Using Multitemporal High‐Resolution SAR Imagery

Remote Sensing of Water‐Related Hazards

2022/4/14

Wen Liu
Wen Liu

H-Index: 16

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Near-real-time gradually expanding 3D land surface reconstruction in disaster areas by sequential drone imagery

Automation in Construction

2022/3/1

Damaged building extraction using modified Mask R-CNN model using post-event aerial images of the 2016 Kumamoto earthquake

Remote Sensing

2022/2/18

Wen Liu
Wen Liu

H-Index: 16

Extraction of Bridge Damage in the 2016 Kumamoto Earthquake Using Airborne SAR Data

2022

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Wen Liu
Wen Liu

H-Index: 16

Detection of Building Damage due to the 2016 Kumamoto Earthquake using Texture Combinations of Single Post-event Airborne SAR Data

2021/11/1

Wen Liu
Wen Liu

H-Index: 16

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Damage Extraction of the 2021 Off-Fukushima Earthquake based on PALSAR-2 Intensity Images

2021/11/1

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Wen Liu
Wen Liu

H-Index: 16

Detection of collapsed bridges from multi-temporal SAR intensity images by machine learning techniques

Remote Sensing

2021/9/3

Wen Liu
Wen Liu

H-Index: 16

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Damage assessment of bridges due to the 2020 July Flood in Japan using ALOS-2 intensity images

2021/7/11

Wen Liu
Wen Liu

H-Index: 16

Fumio Yamazaki
Fumio Yamazaki

H-Index: 30

Learning from multimodal and multitemporal earth observation data for building damage mapping

ISPRS Journal of Photogrammetry and Remote Sensing

2021/5/1

Simultaneous extraction of road and centerline from aerial images using a deep convolutional neural network

ISPRS International Journal of Geo-Information

2021/3/8

Wen Liu
Wen Liu

H-Index: 16

See List of Professors in Wen Liu University(Chiba University)

Co-Authors

academic-engine