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王文君

职称: 副教授 专业: 桥梁与隧道工程 导师类型: 硕士生导师 毕业院校: 河海大学 电子邮箱: wenjunwang@njfu.edu.cn
  • 个人情况

    中共党员,工学博士,主要从事混凝土结构损伤智能诊断研究。主持南京林业大学水杉英才引进项目1项;发表SCI论文10余篇.

  • 研究方向

    混凝土结构损伤智能诊断

  • 学习与工作经历

    2015.09~2019.06  河海大学  农业水利工程  本科

    2019.09~2024.06  河海大学  水工结构工程  博士(直博)

  • 主讲课程

    《智能建造基础算法》

  • 教学与科研项目
  • 学术成果

    [1] W. Wang, C. Su, Semi-supervised semantic segmentation network for surface crack detection, Automation in Construction 128 (2021) 103786. (SCI, IF:10.3中科院一区TOP)

    [2] W. Wang, C. Su, Automatic concrete crack segmentation model based on transformer, Automation in Construction 139 (2022) 104275. (SCI, IF:10.3中科院一区TOP)

    [3] W. Wang, C. Su, H. Zhang, Automatic segmentation of concrete aggregate using convolutional neural network, Automation in Construction 134 (2022) 104106. (SCI, IF:10.3中科院一区TOP)

    [4] W. Wang, C. Su, Deep learning-based detection and condition classification of bridge steel bearings, Automation in Construction 156 (2023) 105085. (SCI, IF:10.3中科院一区TOP)

    [5] W. Wang, C. Su, G. Han, H. Zhang, A lightweight crack segmentation network based on knowledge distillation, Journal of Building Engineering (2023) 107200. (SCI, IF:6.4,中科院二区TOP)

    [6] W. Wang, C. Su, G. Han, Y. Dong, Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network, Structural Health Monitoring 23 (2) (2024) 671-685. (SCI, IF:6.6中科院二区)

    [7] W. Wang, C. Su, G. Han, S. Hu, Semi-supervised learning for concrete defect segmentation from images. Structural Health Monitoring (2024) (SCI, IF:6.6,中科院二区)

    [8] W. Wang, C. Su, D. Fu, Automatic detection of defects in concrete structures based on deep learning, Structures, Vol. 43, Elsevier, 2022, pp. 192-199. (SCI, IF:4.1,中科院二区)

    [9] W. Wang, C. Su, Automatic classification of reinforced concrete bridge defects using the hybrid network, Arabian Journal for Science and Engineering 47 (4) (2022) 5187-5197. (SCI, IF:2.9, 中科院四区)

    [10] W. Wang, C. Su, Deep learning-based real-time crack segmentation for pavement images, KSCE Journal of Civil Engineering 25 (12) (2021) 4495-4506. (SCI, IF:2.2, 中科院四区)



  • 获奖项目

    1.      2021年博士研究生国家奖学金

    2.      2023年博士研究生国家奖学金

    3.      2024年江苏省优秀毕业生



  • 联系方式

    邮箱:wenjunwang@njfu.edu.cn

    地址:南京林业大学土木工程学院3510