Robust Ship Tracking via Multi-view Learning and Sparse Representation

Article Properties
  • Language
    English
  • Publication Date
    2018/09/13
  • Indian UGC (Journal)
  • Refrences
    51
  • Citations
    18
  • Xinqiang Chen
  • Shengzheng Wang
  • Chaojian Shi
  • Huafeng Wu
  • Jiansen Zhao
  • Junjie Fu
Abstract
Cite
Chen, Xinqiang, et al. “Robust Ship Tracking via Multi-View Learning and Sparse Representation”. Journal of Navigation, vol. 72, no. 1, 2018, pp. 176-92, https://doi.org/10.1017/s0373463318000504.
Chen, X., Wang, S., Shi, C., Wu, H., Zhao, J., & Fu, J. (2018). Robust Ship Tracking via Multi-view Learning and Sparse Representation. Journal of Navigation, 72(1), 176-192. https://doi.org/10.1017/s0373463318000504
Chen X, Wang S, Shi C, Wu H, Zhao J, Fu J. Robust Ship Tracking via Multi-view Learning and Sparse Representation. Journal of Navigation. 2018;72(1):176-92.
Refrences
Citations
Citations Analysis
The first research to cite this article was titled Exploring the Application of the Linear Poisson Autoregressive Model for Analyzing the Dynamic Impact of Traffic Laws on Fatal Traffic Accident Frequency and was published in 2020. The most recent citation comes from a 2023 study titled Exploring the Application of the Linear Poisson Autoregressive Model for Analyzing the Dynamic Impact of Traffic Laws on Fatal Traffic Accident Frequency . This article reached its peak citation in 2021 , with 11 citations.It has been cited in 4 different journals, 75% of which are open access. Among related journals, the Journal of Advanced Transportation cited this research the most, with 13 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year