Optimal road matching by relaxation to min-cost network flow

Article Properties
Cite
Wu, Hangbin, et al. “Optimal Road Matching by Relaxation to Min-Cost Network Flow”. International Journal of Applied Earth Observation and Geoinformation, vol. 114, 2022, p. 103057, https://doi.org/10.1016/j.jag.2022.103057.
Wu, H., Xu, S., Huang, S., Wang, J., Yang, X., Liu, C., & Zhang, Y. (2022). Optimal road matching by relaxation to min-cost network flow. International Journal of Applied Earth Observation and Geoinformation, 114, 103057. https://doi.org/10.1016/j.jag.2022.103057
Wu, Hangbin, Shan Xu, Shengke Huang, Junhua Wang, Xuan Yang, Chun Liu, and Yunling Zhang. “Optimal Road Matching by Relaxation to Min-Cost Network Flow”. International Journal of Applied Earth Observation and Geoinformation 114 (2022): 103057. https://doi.org/10.1016/j.jag.2022.103057.
Wu H, Xu S, Huang S, Wang J, Yang X, Liu C, et al. Optimal road matching by relaxation to min-cost network flow. International Journal of Applied Earth Observation and Geoinformation. 2022;114:103057.
Refrences
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An iterative approach based on contextual information for matching multi‐scale polygonal object datasets

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Refrences Analysis
The category Science: Geology 16 is the most frequently represented among the references in this article. It primarily includes studies from International Journal of Applied Earth Observation and Geoinformation and ISPRS International Journal of Geo-Information. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Graph neural network-based identification of ditch matching patterns across multi-scale geospatial data Geocarto International
  • Geography. Anthropology. Recreation: Physical geography
  • Geography. Anthropology. Recreation: Environmental sciences
  • Science: Geology
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Science: Geology
2023
Citations Analysis
The category Geography. Anthropology. Recreation: Physical geography 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Graph neural network-based identification of ditch matching patterns across multi-scale geospatial data and was published in 2023. The most recent citation comes from a 2023 study titled Graph neural network-based identification of ditch matching patterns across multi-scale geospatial data. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the Geocarto International cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year