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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. Li, Junjie / Peng, Xiangbin / Liu, Xiaodong / Tang, Huanchen / Li, Wei: A study on shaping tourists’ conservational intentions towards cultural heritage in the digital era: exploring the effects of authenticity, cultural experience, and place attachment. In: Journal of Asian Architecture and Building Engineering.

    https://doi.org/10.1080/13467581.2024.2321999

  2. Li, Junjie / Zhang, Jiaying / Liu, Chunlu / Luo, Xiangyun: What hinders the implementation of carbon emission reduction in the construction industry: evidence from integrated multi-criteria decision-making in China. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-05-2023-0511

  3. Li, Junjie / Jin, Yichun / Zhao, Ruyue / Han, Yingjie / Habert, Guillaume (2023): Using the EEG+VR+LEC evaluation method to explore the combined influence of temperature and spatial openness on the physiological recovery of post-disaster populations. In: Building and Environment, v. 243 (September 2023).

    https://doi.org/10.1016/j.buildenv.2023.110637

  4. Kang, Fei / Wu, Yingrui / Ma, Jianting / Li, Junjie (2023): Structural identification of super high arch dams using Gaussian process regression with improved salp swarm algorithm. In: Engineering Structures, v. 286 (Juli 2023).

    https://doi.org/10.1016/j.engstruct.2023.116150

  5. Yu, Xin / Li, Junjie / Kang, Fei (2022): SSA optimized back propagation neural network model for dam displacement monitoring based on long-term temperature data. In: European Journal of Environmental and Civil Engineering, v. 27, n. 4 (Juni 2022).

    https://doi.org/10.1080/19648189.2022.2090445

  6. Zar, Ali / Kang, Fei / Li, Junjie / Wu, Yingrui (2022): Vibration-Based Damage Detection of Arch Dams Using Least-Square Support Vector Machines and Salp Swarm Algorithms. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 6 (August 2022).

    https://doi.org/10.1007/s40996-022-00906-w

  7. Wang, Dan / Li, Junjie / Zhang, Lina / Jiang, Congcong / Yang, Ping / Cheng, Xin (2022): Synthesis and effect of highly active nano-SiO2 on ion/water transmission property of cement-based materials. In: Journal of Building Engineering, v. 59 (November 2022).

    https://doi.org/10.1016/j.jobe.2022.105054

  8. Zhao, Sizeng / Kang, Fei / Li, Junjie / Ma, Chuanbo (2021): Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction. In: Automation in Construction, v. 130 (Oktober 2021).

    https://doi.org/10.1016/j.autcon.2021.103832

  9. Li, Junjie / Wu, Wei / Jin, Yichun / Zhao, Ruyue / Bian, Wenyan (2021): Research on environmental comfort and cognitive performance based on EEG+VR+LEC evaluation method in underground space. In: Building and Environment, v. 198 (Juli 2021).

    https://doi.org/10.1016/j.buildenv.2021.107886

  10. Kang, Fei / Liu, Xi / Li, Junjie (2019): Temperature effect modeling in structural health monitoring of concrete dams using kernel extreme learning machines. In: Structural Health Monitoring, v. 19, n. 4 (September 2019).

    https://doi.org/10.1177/1475921719872939

  11. Kang, Fei / Li, Junjie / Xu, Qing (2009): Structural inverse analysis by hybrid simplex artificial bee colony algorithms. In: Computers & Structures, v. 87, n. 13-14 (Juli 2009).

    https://doi.org/10.1016/j.compstruc.2009.03.001

  12. Li, Haojin / Li, Junjie / Kang, Fei (2011): Risk analysis of dam based on artificial bee colony algorithm with fuzzy c-means clustering. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 38, n. 5 (Mai 2011).

    https://doi.org/10.1139/l11-020

  13. Kang, Fei / Li, Junjie / Zhao, Sizeng / Wang, Yujun (2019): Structural health monitoring of concrete dams using long-term air temperature for thermal effect simulation. In: Engineering Structures, v. 180 (Februar 2019).

    https://doi.org/10.1016/j.engstruct.2018.11.065

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