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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Kong, Weiyao / Wu, Buyong / Zhao, Xiaowen / Ye, Lin (2023): A novel strategy for construction of multiple dynamic hybrid crosslinking network for polyethylene pipes and self-healing behavior via thermal stimulation. In: Composite Structures, v. 319 (September 2023).

    https://doi.org/10.1016/j.compstruct.2023.117216

  2. Yu, Yaru / Zhao, Xiaowen / Ye, Lin (2023): A novel biocompatible wearable sensors based on poly (vinyl alcohol)/graphene oxide hydrogel with superior self-adhesion, flexibility and sensitivity. In: Composite Structures, v. 309 (April 2023).

    https://doi.org/10.1016/j.compstruct.2023.116768

  3. Liu, Jun / Yan, Kezhen / Liu, Wenyao / Zhao, Xiaowen (2020): Partially replacing Styrene-Butadiene-Styrene (SBS) with other asphalt binder modifier: Feasibility study. In: Construction and Building Materials, v. 249 (July 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.118752

  4. Zhao, Xiaowen / Yan, Kezhen / He, Weili / Cai, Cong (2017): Effects of Sasobit/Deurex on amorphous poly alpha olefin (APAO) modified asphalt binder. In: Construction and Building Materials, v. 154 (November 2017).

    https://doi.org/10.1016/j.conbuildmat.2017.07.234

  5. Ge, Dongdong / Yan, Kezhen / Ye, Fangyong / Zhao, Xiaowen (2018): The laboratory performance of asphalt mixture with Amorphous poly alpha olefins (APAO) modified asphalt binder. In: Construction and Building Materials, v. 188 (November 2018).

    https://doi.org/10.1016/j.conbuildmat.2018.08.143

  6. Zhao, Xiaowen / Yan, Kezhen / Yang, Shu / Peng, Hanyu (2018): Laboratory Research on the Properties of Warm Amorphous Poly Alpha Olefin–Modified Asphalt Mixture Using Sasobit and Deurex. In: Journal of Materials in Civil Engineering (ASCE), v. 30, n. 5 (May 2018).

    https://doi.org/10.1061/(asce)mt.1943-5533.0002227

  7. Liu, Jun / Yan, Kezhen / Liu, Jenny / Zhao, Xiaowen (2018): Using Artificial Neural Networks to Predict the Dynamic Modulus of Asphalt Mixtures Containing Recycled Asphalt Shingles. In: Journal of Materials in Civil Engineering (ASCE), v. 30, n. 4 (April 2018).

    https://doi.org/10.1061/(asce)mt.1943-5533.0002242

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