Yawen Shen

Yawen Shen

University of Virginia

H-index: 6

North America-United States

About Yawen Shen

Yawen Shen, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Hydrology, Hydrodynamic modeling, water resource engineering.

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

Quantifying the Impact of Climate Change on Peak Stream Discharge for Watersheds of Varying Sizes in the Coastal Plain of Virginia

Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network

Quantification of compound flooding over roadway network during extreme events for planning emergency operations

Applying a Deep Convolutional Neural Network to Segment the Flooding Extent from Images of Urban Flooding: Toward an Urban Flood Monitoring System

Dynamic modeling of inland flooding and storm surge on coastal cities under climate change scenarios: transportation infrastructure impacts in Norfolk, Virginia USA as a case study

Assessing trustworthiness of crowdsourced flood incident reports using Waze data: A Norfolk, Virginia case study

Modeling the Combined Impact of Rainfall and Storm Tide on Coastal Cities under a Changing Climate: Transportation Infrastructure Impacts in Norfolk, Virginia USA as a Case Study

Impact of geospatial data enhancements for regional-scale 2D hydrodynamic flood modeling: Case study for the Coastal Plain of Virginia

Yawen Shen Information

University

Position

___

Citations(all)

214

Citations(since 2020)

211

Cited By

24

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Yawen Shen Skills & Research Interests

Hydrology

Hydrodynamic modeling

water resource engineering

Top articles of Yawen Shen

Title

Journal

Author(s)

Publication Date

Quantifying the Impact of Climate Change on Peak Stream Discharge for Watersheds of Varying Sizes in the Coastal Plain of Virginia

Journal of Hydrologic Engineering

Mohamed M Morsy

Binata Roy

Yawen Shen

Jeffrey M Sadler

Alexander B Chen

...

2024/6/1

Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network

Environmental Modelling & Software

Yidi Wang

Yawen Shen

Behrouz Salahshour

Mecit Cetin

Khan Iftekharuddin

...

2024/2/1

Quantification of compound flooding over roadway network during extreme events for planning emergency operations

Natural Hazards Review

Navid Tahvildari

Mirla Abi Aad

Akash Sahu

Yawen Shen

Mohamed Morsy

...

2022/5/1

Applying a Deep Convolutional Neural Network to Segment the Flooding Extent from Images of Urban Flooding: Toward an Urban Flood Monitoring System

AGU Fall Meeting Abstracts

Yidi Wang

Yawen Shen

Behrouz Salahshour

Mecit Cetin

Khan Iftekharuddin

...

2022/12

Dynamic modeling of inland flooding and storm surge on coastal cities under climate change scenarios: transportation infrastructure impacts in Norfolk, Virginia USA as a case study

Geosciences

Yawen Shen

Navid Tahvildari

Mohamed M Morsy

Chris Huxley

T Donna Chen

...

2022/5/25

Assessing trustworthiness of crowdsourced flood incident reports using Waze data: A Norfolk, Virginia case study

Transportation research record

Shraddha Praharaj

Faria Tuz Zahura

T Donna Chen

Yawen Shen

Luwei Zeng

...

2021/12

Modeling the Combined Impact of Rainfall and Storm Tide on Coastal Cities under a Changing Climate: Transportation Infrastructure Impacts in Norfolk, Virginia USA as a Case Study

arXiv preprint arXiv:2108.12013

Yawen Shen

Navid Tahvildari

Mohamed M Morsy

Chris Huxley

T Donna Chen

...

2021/8/26

Impact of geospatial data enhancements for regional-scale 2D hydrodynamic flood modeling: Case study for the Coastal Plain of Virginia

Journal of Hydrologic Engineering

Mohamed M Morsy

Natalie R Lerma

Yawen Shen

Jonathan L Goodall

Chris Huxley

...

2021/4/1

Nuisance Flooding in Coastal Communities: Real-time Modeling and Decision Support to Improve Transportation Infrastructure Resilience

EGU General Assembly Conference Abstracts

Jonathan L Goodall

Madhur Behl

Benjamin Bowes

Brad Campbell

Alex Chen

...

2020/5

Training machine learning surrogate models from a high‐fidelity physics‐based model: Application for real‐time street‐scale flood prediction in an urban coastal community

Water Resources Research

Faria T Zahura

Jonathan L Goodall

Jeffrey M Sadler

Yawen Shen

Mohamed M Morsy

...

2020/10

See List of Professors in Yawen Shen University(University of Virginia)

Co-Authors

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