World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10192
World Ranking
5111
National Ranking
694

Overview

Hanbin Luo is affiliated with Huazhong University of Science and Technology in China. Their research primarily focuses on engineering, with a distinct emphasis on civil and structural engineering, building and construction, and artificial intelligence. Other subfields of study include radiological and ultrasound technology and geology.

The main topics covered in Hanbin Luo's work include:

  • Infrastructure maintenance and monitoring
  • BIM and construction integration
  • Occupational health and safety research
  • Tunneling and rock mechanics
  • 3D surveying and cultural heritage
  • Risk and safety analysis
  • Geotechnical engineering and analysis

Hanbin Luo has authored research published in several scientific venues, frequently contributing to:

  • Automation in Construction
  • Advanced Engineering Informatics
  • SSRN Electronic Journal
  • Sustainable Cities and Society
  • Construction and Building Materials

Among Hanbin Luo's recent publications are:

  • "Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology" (2020), published in Automation in Construction
  • "Automated text classification of near-misses from safety reports: An improved deep learning approach" (2020), published in Advanced Engineering Informatics
  • "Hyperledger fabric-based consortium blockchain for construction quality information management" (2020), published in Frontiers of Engineering Management
  • "Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan" (2020), published in Automation in Construction
  • "Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach" (2020), published in Automation in Construction

Hanbin Luo has collaborated extensively with a number of researchers, including:

  • Peter E.D. Love
  • Weili Fang
  • Ke Chen
  • Jiajing Liu
  • Dongrui Wu

Best Publications

  • Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

    Qi Fang;Qi Fang;Heng Li;Xiaochun Luo;Lieyun Ding

  • A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

    Lieyun Ding;Weili Fang;Hanbin Luo;Peter E.D. Love

  • Falls from heights: A computer vision-based approach for safety harness detection

    Weili Fang;Lieyun Ding;Hanbin Luo;Peter E.D. Love

  • Non-linear description of ground settlement over twin tunnels in soil

    Ling Ma;Lieyun Ding;Hanbin Luo

  • Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach

    Weili Fang;Lieyun Ding;Botao Zhong;Peter E.D. Love

  • Computer vision for behaviour-based safety in construction: A review and future directions

    Weili Fang;Peter E.D. Love;Hanbin Luo;Lieyun Ding

  • Construction risk knowledge management in BIM using ontology and semantic web technology

    L.Y. Ding;B.T. Zhong;Song Wu;H.B. Luo

  • A scientometric analysis and critical review of construction related ontology research

    Botao Zhong;Haitao Wu;Heng Li;Samad Sepasgozar

  • A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network

    Weili Fang;Weili Fang;Botao Zhong;Neng Zhao;Peter E.D. Love

  • Computer vision applications in construction safety assurance

    Weili Fang;Lieyun Ding;Peter E.D. Love;Hanbin Luo

  • Real-time safety early warning system for cross passage construction in Yangtze Riverbed Metro Tunnel based on the internet of things

    L.Y. Ding;C. Zhou;Q.X. Deng;H.B. Luo

  • Construction quality information management with blockchains

    Da Sheng;Lieyun Ding;Botao Zhong;Peter E.D. Love

  • Ontology-based semantic modeling of regulation constraint for automated construction quality compliance checking

    B.T. Zhong;L.Y. Ding;H.B. Luo;Y. Zhou

  • Convolutional neural networks: Computer vision-based workforce activity assessment in construction

    Hanbin Luo;Chaohua Xiong;Weili Fang;Peter E.D. Love

  • Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology

    Weili Fang;Ling Ma;Peter E.D. Love;Hanbin Luo

  • Implementation of augmented reality for segment displacement inspection during tunneling construction

    Ying Zhou;Hanbin Luo;Yiheng Yang

  • Analysis of Delay Impact on Construction Project Based on RII and Correlation Coefficient: Empirical Study

    Tsegay Gebrehiwet;Hanbin Luo

  • Automated text classification of near-misses from safety reports: An improved deep learning approach

    Weili Fang;Weili Fang;Hanbin Luo;Shuangjie Xu;Peter E.D. Love

  • Computer vision aided inspection on falling prevention measures for steeplejacks in an aerial environment

    Qi Fang;Qi Fang;Heng Li;Xiaochun Luo;Lieyun Ding

  • Hyperledger fabric-based consortium blockchain for construction quality information management

    Botao Zhong;Haitao Wu;Lieyun Ding;Hanbin Luo

  • A Big-Data-based platform of workers' behavior: Observations from the field.

    S.Y. Guo;L.Y. Ding;H.B. Luo;X.Y. Jiang

Frequent Co-Authors

Lieyun Ding
Lieyun Ding Huazhong University of Science and Technology
Peter E.D. Love
Peter E.D. Love Curtin University
Heng Li
Heng Li Hong Kong Polytechnic University
Miroslaw J. Skibniewski
Miroslaw J. Skibniewski University of Maryland, College Park
Xiangyu Wang
Xiangyu Wang Curtin University
Jian Kang
Jian Kang University College London
Martin Skitmore
Martin Skitmore Bond University
Ke Han
Ke Han Florida State University
Dongrui Wu
Dongrui Wu Huazhong University of Science and Technology
Yi-Qing Ni
Yi-Qing Ni Hong Kong Polytechnic University

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