Song Wu

Song Wu

University of Huddersfield

H-index: 23

Europe-United Kingdom

About Song Wu

Song Wu, With an exceptional h-index of 23 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Huddersfield, specializes in the field of Building Information Modelling, Construction Management.

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

Highly sensitive electrochemical sensor based on novel Ag Nps/Ppti films for detection of hydrazine

The development of a digitally enhanced visual inspection framework for masonry bridges in the UK

Digital examination of masonry bridge defects using point cloud

Towards detailed digital examination of masonry railway bridges using terrestrial laser scanner

Developing a new deep learning CNN model to detect and classify highway cracks

Blockchain and the ‘Internet of Things' for the construction industry: research trends and opportunities

Cost management–based BIM: Skills, implementation, and teaching map

Towards adopting 4D BIM in construction management curriculums: A teaching map

Song Wu Information

University

Position

___

Citations(all)

2999

Citations(since 2020)

1704

Cited By

2122

hIndex(all)

23

hIndex(since 2020)

17

i10Index(all)

40

i10Index(since 2020)

24

Email

University Profile Page

University of Huddersfield

Google Scholar

View Google Scholar Profile

Song Wu Skills & Research Interests

Building Information Modelling

Construction Management

Top articles of Song Wu

Title

Journal

Author(s)

Publication Date

Highly sensitive electrochemical sensor based on novel Ag Nps/Ppti films for detection of hydrazine

Pigment & Resin Technology

Jing Xu

Xiaoju Long

Jiaojing Zhang

Song Wu

2023/6/1

The development of a digitally enhanced visual inspection framework for masonry bridges in the UK

Construction Innovation

Saeed Talebi

Song Wu

Mustafa Al-Adhami

Mark Shelbourn

Joas Serugga

2022/6/8

Digital examination of masonry bridge defects using point cloud

Song Wu

Arijit Sen

Saeed Talebi

2022/11/27

Towards detailed digital examination of masonry railway bridges using terrestrial laser scanner

Arijit Sen

Saeed Talebi

Song Wu

Mark Shelbourn

2022/11/23

Developing a new deep learning CNN model to detect and classify highway cracks

Journal of Engineering, Design and Technology

Faris Elghaish

Saeed Talebi

Essam Abdellatef

Sandra T Matarneh

M Reza Hosseini

...

2022/6/29

Blockchain and the ‘Internet of Things' for the construction industry: research trends and opportunities

Faris Elghaish

M Reza Hosseini

Sandra Matarneh

Saeed Talebi

Song Wu

...

2021/12/1

Cost management–based BIM: Skills, implementation, and teaching map

Faris Elghaish

Saeed Talebi

Song Wu

2021/8/9

Towards adopting 4D BIM in construction management curriculums: A teaching map

Faris Elghaish

Sepehr Abrishami

Salam Al-Bizri

Saeed Talebi

Sandra Matarneh

...

2021/8/9

Cost management–based BIM

Faris Elghaish

Saeed Talebi

Song Wu

2021

An automated approach to digitise railway bridges

2020 Proceedings of the 37th ISARC, Kitakyushu, Japan

M Al-Adhamia

S Roobleb

S Wu

C Osuna-Yevenes

V Ruby-Lewis

...

2020/10/30

Indoor sound environments and visual media displays: A case study on canteens

Building and Environment

Keming Ye

Hanbin Luo

Jian Kang

Song Wu

2020/6/1

A REAL-TIME APPROACH TO EVALUATE OCCUPANTS’THERMAL COMFORT IN THE INDOOR ENVIRONMENT

Mustafa Al-Adhami

Song Wu

Elham Delzendeh

2020

Beyond Building Energy Simulation Tools

IOP Conference Series: Earth and Environmental Science

Elham Delzendeh

Rima Alaaeddine

Mustafa Al-Adhami

Song Wu

2020/11/1

See List of Professors in Song Wu University(University of Huddersfield)