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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Wu, Zhijiang / Liu, Mengyao / Ma, Guofeng / Jiang, Shan: A hybrid forecasting model to improve cost prediction accuracy in green building projects with machine learning. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-09-2024-1247

  2. Wu, Zhijiang / Liu, Mengyao / Ma, Guofeng (2025): A Semi-Automatic Ontology Development Framework for Knowledge Transformation of Construction Safety Requirements. In: Buildings, v. 15, n. 4 (18 Februar 2025).

    https://doi.org/10.3390/buildings15040569

  3. Shan, Junyue / Yang, Chan / Liu, Guoying / Cao, Lijun / Wu, Jieyu / Zhang, Yahui / Zhang, Fangda / Liu, Mengyao / Tan, Haiyan / Zhang, Yanhua / Lin, Qiuqin / Yu, Wenji (2024): An organic-inorganic dual network built in fast-growing wood veneers to improve the flame retardant and mechanical properties of plywood. In: Journal of Building Engineering, v. 97 (November 2024).

    https://doi.org/10.1016/j.jobe.2024.110886

  4. Wu, Zhijiang / Liu, Mengyao / Ma, Guofeng (2025): A machine learning-based two-stage integrated framework for cost reasonableness prediction of green building projects. In: Journal of Building Engineering, v. 100 ( 2025).

    https://doi.org/10.1016/j.jobe.2024.111733

  5. Wang, Hongmei / Hu, Wentao / Luo, Shuang / Liu, Mengyao / Chen, Jinrui / Chen, Qizhou / Liu, Changde / Pan, Lan (2023): Size distribution and elemental composition of airborne particulate matter on four plant species in vertical greenery systems. In: Building and Environment, v. 245 (November 2023).

    https://doi.org/10.1016/j.buildenv.2023.110888

  6. Wu, Zhijiang / Wang, Yongxiang / Liu, Mengyao (2023): Job stress and burnout among construction professionals: the moderating role of online emotions. In: Engineering, Construction and Architectural Management, v. 31, n. 12 (Juli 2023).

    https://doi.org/10.1108/ecam-09-2022-0868

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