Johnny Kwok-Wai WONG

About Johnny Kwok-Wai WONG

Johnny Kwok-Wai WONG, With an exceptional h-index of 33 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Technology, specializes in the field of Construction 4.0, Building Information Modelling, Machine Learning, Substainability.

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

Towards digital approach for managing request for information (RFI) in construction projects: a literature review

Development of real-time brain-computer interface control system for robot

Development of a refined illumination and reflectance approach for optimal construction site interior image enhancement

Advancing Fault Detection in HVAC Systems: Unifying Gramian Angular Field and 2D Deep Convolutional Neural Networks for Enhanced Performance

Unlocking Insights: Analysing Construction Issues in Request for Information (RFI) Documents with Text Mining and Visualisation

An Experimental HVAC Faults Data Generation and Detection Using One-Dimensional Convolutional Neural Networks

Tracking indoor construction progress by deep-learning-based analysis of site surveillance video

An EEG-based brain-computer interface for real-time multi-task robotic control

Johnny Kwok-Wai WONG Information

University

Position

Associate Professor School of Built Environment

Citations(all)

5965

Citations(since 2020)

3762

Cited By

3483

hIndex(all)

33

hIndex(since 2020)

29

i10Index(all)

49

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Johnny Kwok-Wai WONG Skills & Research Interests

Construction 4.0

Building Information Modelling

Machine Learning

Substainability

Top articles of Johnny Kwok-Wai WONG

Towards digital approach for managing request for information (RFI) in construction projects: a literature review

2024/1/9

Development of real-time brain-computer interface control system for robot

Available at SSRN 4402771

2023

Development of a refined illumination and reflectance approach for optimal construction site interior image enhancement

Construction Innovation

2024/2/13

Advancing Fault Detection in HVAC Systems: Unifying Gramian Angular Field and 2D Deep Convolutional Neural Networks for Enhanced Performance

Sensors

2023/9/6

Unlocking Insights: Analysing Construction Issues in Request for Information (RFI) Documents with Text Mining and Visualisation

2023/8/26

An Experimental HVAC Faults Data Generation and Detection Using One-Dimensional Convolutional Neural Networks

2023/8/26

Johnny Kwok-Wai Wong
Johnny Kwok-Wai Wong

H-Index: 23

Tracking indoor construction progress by deep-learning-based analysis of site surveillance video

Construction Innovation

2023/6/1

An EEG-based brain-computer interface for real-time multi-task robotic control

2023

A deep learning-based approach to facilitate the as-built state recognition of indoor construction works

Construction Innovation

2022/12/20

Digitalizing and greening the built environment

Frontiers in Built Environment

2022/9/6

Applications of electroencephalography in construction

2022/1/1

Hybrid random forest and support vector machine modeling for HVAC fault detection and diagnosis

Sensors

2021/12/7

Johnny Kwok-Wai Wong
Johnny Kwok-Wai Wong

H-Index: 23

Technical challenges for automated indoor construction progress monitoring

2021/10/28

Biyanka Ekanayake
Biyanka Ekanayake

H-Index: 3

Johnny Kwok-Wai Wong
Johnny Kwok-Wai Wong

H-Index: 23

Computer vision-based interior construction progress monitoring: A literature review and future research directions

2021/7/1

Determinants for students perceived potential of BIM use

ICCEPM 2020: The 8th International Conference on Construction Engineering and Project Management, December 7-8, 2020, Hong Kong SAR, 2020, p. 291-300

2020/12/8

Low or No subsidy? Proposing a regional power grid based wind power feed-in tariff benchmark price mechanism in China

Energy Policy

2020/11/1

Development of a building sustainability assessment method (BSAM) for developing countries in sub-Saharan Africa

Journal of Cleaner Production

2020/8/1

The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy

2017

See List of Professors in Johnny Kwok-Wai WONG University(University of Technology)

Co-Authors

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