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Haibo Feng ORCID

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

  1. Li, Zhongxia / Xiao, Jing / Wan, Junwei / Cheng, Jianmei / Feng, Haibo / Zhan, Hongbin / Yuan, Shuai / Huang, Kun (2024): A dynamic modeling approach to predict water inflow during tunnel excavation in relatively uniform rock masses. In: Tunnelling and Underground Space Technology, v. 146 (April 2024).

    https://doi.org/10.1016/j.tust.2024.105668

  2. Chen, Qiwen / Mao, Peng / Zhu, Shiyao / Xu, Xiaoxiao / Feng, Haibo (2024): A decision-aid system for subway microenvironment health risk intervention based on backpropagation neural network and permutation feature importance method. In: Building and Environment, v. 253 (April 2024).

    https://doi.org/10.1016/j.buildenv.2024.111292

  3. Kathiravel, Rojini / Zhu, Shiyao / Feng, Haibo (2024): LCA of net-zero energy residential buildings with different HVAC systems across Canadian climates: A BIM-based fuzzy approach. In: Energy and Buildings, v. 306 (März 2024).

    https://doi.org/10.1016/j.enbuild.2024.113905

  4. Li, Dezhi / Wu, Hui / Huang, Guanying / Feng, Haibo / Ding, Jiayi (2023): Spatiotemporal Evolution of Provincial Rural Infrastructure Development Level in China. In: Journal of Infrastructure Systems, v. 29, n. 3 (September 2023).

    https://doi.org/10.1061/jitse4.iseng-2154

  5. Yang, Hao / Ran, Maoyu / Feng, Haibo (2023): Improved Data-Driven Building Daily Energy Consumption Prediction Models Based on Balance Point Temperature. In: Buildings, v. 13, n. 6 (23 Mai 2023).

    https://doi.org/10.3390/buildings13061423

  6. Li, Dezhi / Yu, Lugang / Huang, Guanying / Zhou, Shenghua / Feng, Haibo / Wang, Yanqing: A real options-based investment-income valuation model for old community renewal projects in China. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-11-2022-1036

  7. Li, Yang / Feng, Haibo (2023): GIS for the Potential Application of Renewable Energy in Buildings towards Net Zero: A Perspective. In: Buildings, v. 13, n. 5 (27 April 2023).

    https://doi.org/10.3390/buildings13051205

  8. Mirzaei, Kaveh / Arashpour, Mehrdad / Asadi, Ehsan / Feng, Haibo / Mohandes, Saeed Reza / Bazli, Milad (2023): Automatic compliance inspection and monitoring of building structural members using multi-temporal point clouds. In: Journal of Building Engineering, v. 72 (August 2023).

    https://doi.org/10.1016/j.jobe.2023.106570

  9. Zhu, Shiyao / Feng, Haibo (2023): Is energy-efficient building sustainable? A case study on individual housing in Canada under BCESC energy updates. In: Building and Environment, v. 239 (Juli 2023).

    https://doi.org/10.1016/j.buildenv.2023.110452

  10. Zhu, Shiyao / Li, Dezhi / Zhu, Jin / Feng, Haibo (2022): Towards a Data-Rich Era: A Bibliometric Analysis of Construction Management from 2000 to 2020. In: Buildings, v. 12, n. 12 (1 Dezember 2022).

    https://doi.org/10.3390/buildings12122242

  11. Piazzi, Murillo A. / Feng, Haibo / Kassem, Mohamad (2022): An investigation of concepts for the specification of graphical exchange information requirements in building information modelling. In: Journal of Information Technology in Construction, v. 27 (Januar 2022).

    https://doi.org/10.36680/j.itcon.2022.033

  12. Zhang, Haonan / Feng, Haibo / Hewage, Kasun / Arashpour, Mehrdad (2022): Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework. In: Buildings, v. 12, n. 6 (7 Juni 2022).

    https://doi.org/10.3390/buildings12060829

  13. Tao, Guowu / Feng, Jingchun / Feng, Haibo / Feng, Hui / Zhang, Ke (2022): Reducing Construction Dust Pollution by Planning Construction Site Layout. In: Buildings, v. 12, n. 5 (24 April 2022).

    https://doi.org/10.3390/buildings12050531

  14. Doukari, Omar / Seck, Boubacar / Greenwood, David / Feng, Haibo / Kassem, Mohamad (2022): Towards an Interoperable Approach for Modelling and Managing Smart Building Data: The Case of the CESI Smart Building Demonstrator. In: Buildings, v. 12, n. 3 (8 März 2022).

    https://doi.org/10.3390/buildings12030362

  15. Tao, Guowu / Feng, Haibo / Feng, Jingchun / Wang, Tianhao (2022): Dynamic Multi-objective Construction Site Layout Planning Based on BIM. In: KSCE Journal of Civil Engineering, v. 26, n. 4 (Januar 2022).

    https://doi.org/10.1007/s12205-022-0708-y

  16. Feng, Haibo / Kassem, Mohamad / Greenwood, David / Doukari, Omar (2023): Whole building life cycle assessment at the design stage: a BIM-based framework using environmental product declaration. In: International Journal of Building Pathology and Adaptation, v. 41, n. 1 (8 März 2023).

    https://doi.org/10.1108/ijbpa-06-2021-0091

  17. Zhao, Jianfeng / Feng, Haibo / Chen, Qian / García de Soto, Borja (2022): Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes. In: Journal of Building Engineering, v. 49 (Mai 2022).

    https://doi.org/10.1016/j.jobe.2022.104028

  18. Feng, Haibo / Zhao, Jianfeng / Zhang, Haonan / Zhu, Shiyao / Li, Dezhi / Thurairajah, Niraj (2022): Uncertainties in whole-building life cycle assessment: A systematic review. In: Journal of Building Engineering, v. 50 (Juni 2022).

    https://doi.org/10.1016/j.jobe.2022.104191

  19. Zhang, Haonan / Hewage, Kasun / Karunathilake, Hirushie / Feng, Haibo / Sadiq, Rehan (2021): Research on policy strategies for implementing energy retrofits in the residential buildings. In: Journal of Building Engineering, v. 43 (November 2021).

    https://doi.org/10.1016/j.jobe.2021.103161

  20. Feng, Haibo / Hewage, Kasun KN / Sadiq, Rehan (2022): Exploring the current challenges and emerging approaches in whole building life cycle assessment. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 49, n. 2 (Februar 2022).

    https://doi.org/10.1139/cjce-2020-0284

  21. Zhu, Shiyao / Li, Dezhi / Feng, Haibo (2019): Is smart city resilient? Evidence from China. In: Sustainable Cities and Society, v. 50 (Oktober 2019).

    https://doi.org/10.1016/j.scs.2019.101636

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