• Journal Publication

    1. Yang, Y., Li, N., Wang, W., Li,B., Xie, S., & Liu, Y. (2017). Vertical profiles of sediment methanogenic potential and communities in two plateau freshwater lakes. Biogeosciences, 14(2),341-351.
      Paper Link
    2. Wang, W.*, Xu, Y.,Zhang, S., Xu, Y., & Xue, X. (2025). Bibliometric insights into pollution research: trends, geographic disparities, and emerging environmental challenges. Environmental Research Communications, 7(7),075026.
      Paper Link
    3. Wang, W., Lu, B., Li, Y., & Shi, W. (2025). Descriptor: Coastal Aerial Imagery Dataset for Shoreline Segmentation (CAID). IEEE Data Descriptions. 2, 286-295
      Paper Link
    4. Wang, W., Van Deelen,T., Wei, F., Li, S., & Wang, L. (2025). Anthropogenic Habitat Loss and Fragmentation May Alter Coevolutionary Progress as Examined in a Brood Parasitism Model. Ecology and Evolution, 15(7), e71721.
      Paper Link
    5. Lu, B., Wang, W.*, Jordan, N., Bechle, A., Wu, C. H., Wright, D. B., and Zoet, L. K. (2025) A multi-scale assessment for managing coastal geomorphic changes in southwestern Lake Michigan. Journal of Environmental Management.
      Paper Link
    6. Lu, B., Wang, W.*, Wu, C., and Liu, Y. (2026). Wave climate on the southwestern coast of Lake Michigan: Perspectives from wave directionality. Ocean Engineering, 343, 123306.
      Paper Link

    Conference Papers

    1. Kang, Y., Rao, J., Wang, W., Peng, B., Gao, S., & Zhang,F. (2020, May). Towards cartographic knowledge encoding with deep learning: A case study of building generalization. In Proceedings of the AutoCarto (pp.1-6).
      Paper Link

    Conference Presentation

    1. Wei Wang, Boyuan Lu, ShorelineChange Estimation Toolkit (SCET): a deep-learning-based software to auto-detect shoreline changes. AGU Fall Meeting, 2024.
    2. Wei Wang, Chin H. Wu. Detectingand characterizing flash rips in Lake Michigan using a Deep Learning approach. AGUOcean Meeting, 2024.
    3. Wei Wang, Boyuan Lu. Assessmentof Human Impacts on Coastal Geomorphological Changes in the Great Lakes using Federated Learning Processes. AGU Fall Meeting, 2022.
    4. Wei Wang, Chin H.Wu. Multi-metric Stream Habitat Health Assessment Using Drone-based Toolkits. 46th AWRA conference, 2022
    5. Wei Wang, Yuli Liu, Chin H. Wu. Deep Learning Approach for Detecting Rip Currents in Lake Michigan. 45th AWRA conference, 2021
    6. Wei Wang, Michael Miller, John Reimer, Chin H. Wu. Innovate Toolkits of Drone Technology for Stream Habitat and Health. 43th AWRA conference, 2019
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