World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
31
Citations
5585
World Ranking
2778
National Ranking
454

Best Publications

  • Big Data in the construction industry

    Muhammad Bilal;Lukumon O. Oyedele;Junaid Qadir;Kamran Munir

  • Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

    Juan Manuel Davila Delgado;Lukumon Oyedele;Anuoluwapo Ajayi;Lukman Akanbi

  • Cloud computing in construction industry: Use cases, benefits and challenges

    Sururah A. Bello;Lukumon O. Oyedele;Olugbenga O. Akinade;Muhammad Bilal

  • Systematic Review of Bankruptcy Prediction Models: Towards A Framework for Tool Selection

    Hafiz A. Alaka;Lukumon O. Oyedele;Hakeem A. Owolabi;Vikas Kumar

  • Waste effectiveness of the construction industry: Understanding the impediments and requisites for improvements

    Saheed O. Ajayi;Lukumon O. Oyedele;Muhammad Bilal;Olugbenga O. Akinade

  • Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS)

    Olugbenga O. Akinade;Lukumon O. Oyedele;Muhammad Bilal;Saheed O. Ajayi

  • Design for Deconstruction (DfD): Critical success factors for diverting end-of-life waste from landfills.

    Olugbenga O Akinade;Lukumon O Oyedele;Saheed O Ajayi;Muhammad Bilal

  • Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment

    Olugbenga O. Akinade;Lukumon O. Oyedele;Saheed O. Ajayi;Muhammad Bilal

  • Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy

    Lukman A. Akanbi;Lukman A. Akanbi;Lukumon O. Oyedele;Kamil Omoteso;Muhammad Bilal

  • Critical management practices influencing on-site waste minimization in construction projects.

    Saheed O. Ajayi;Lukumon O. Oyedele;Muhammad Bilal;Olugbenga O. Akinade

  • Big data architecture for Construction Waste Analytics (CWA): A conceptual framework

    Muhammad Bilal;Lukumon O. Oyedele;Olugbenga O. Akinade;Saheed O. Ajayi

  • Reducing waste to landfill: A need for cultural change in the UK construction industry

    Saheed O. Ajayi;Lukumon O. Oyedele;Olugbenga O. Akinade;Muhammad Bilal

  • Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings

    X.J. Luo;Lukumon O. Oyedele;Anuoluwapo O. Ajayi;Olugbenga O. Akinade

  • Design for deconstruction using a circular economy approach: barriers and strategies for improvement

    Olugbenga Akinade;Lukumon Oyedele;Ahmed Oyedele;Juan Manuel Davila Delgado

  • BIM-based deconstruction tool: Towards essential functionalities

    Olugbenga O. Akinade;Lukumon O. Oyedele;Kamil Omoteso;Saheed O. Ajayi

  • Optimising material procurement for construction waste minimization: An exploration of success factors

    Saheed O. Ajayi;Lukumon O. Oyedele;Olugbenga O. Akinade;Muhammad Bilal

  • Analysis of critical features and evaluation of BIM software: Towards a plug-in for construction waste minimization using big data

    Muhammad Bilal;Lukumon O. Oyedele;Junaid Qadir;Kamran Munir

  • Attributes of design for construction waste minimization: A case study of waste-to-energy project

    Saheed O. Ajayi;Lukumon O. Oyedele;Olugbenga O. Akinade;Muhammad Bilal

  • Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects

    Anuoluwapo Ajayi;Lukumon Oyedele;Hakeem Owolabi;Olugbenga Akinade

  • Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings

    X.J. Luo;Lukumon O. Oyedele;Anuoluwapo O. Ajayi;Olugbenga O. Akinade

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