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Traditional Village Landscape Integration Based on Social Network Analysis: A Case Study of the Yuan River Basin in South-Western China
10 references·6 citing·47 second hop
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References

  • 2003Why landscapes of the past are important for the future1,517 cited
  • 2014Society: Realizing China's urban dream1,175 cited
  • 2014Community-based rural residential land consolidation and allocation can help to revitalize hollowed villages in traditional agricultural areas of China: Evidence from Dancheng County, Henan Province432 cited
  • 2015Developing the Cultural Route Evaluation Model (CREM) and its application on the Trail of Roman Emperors, Serbia75 cited
  • 2016An innovative approach to the protection of cultural heritage: The case of cultural routes in Chios Island, Greece62 cited
  • 2019A network-based approach for landscape integration of traditional settlements: A case study in the Wuling Mountain area, southwestern China46 cited
  • 2016How visitors value traditional built environment? Evidence from a contingent valuation survey35 cited
  • 2016Analysis on the spatial distribution characteristics of Chinese traditional villages34 cited
  • 2015Rural landscape and cultural routes: a multicriteria spatial classification method tested on an Italian case study26 cited
  • 2015Traditional Settlement Livability in Creating Sustainable Living23 cited

Cited by

  • 2024Bibliometric and visualized analysis of social network analysis research on Scopus databases and VOSviewer41 cited
  • 2025Traditional village clustered protection and utilization methods based on network science20 cited
  • 2023Spatial Differentiation and Driving Factors of Traditional Villages in Jiangsu Province

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17 cited
  • 2025Spatiotemporal Evolution Characteristics and Causative Analysis of Toponymic Cultural Landscapes in Traditional Villages in Northern Guangdong, China15 cited
  • 2024Traditional Villages’ Cultural Tourism Spatial Quality Evaluation13 cited
  • 2025Emotional and semantic analysis of landscape elements in heritage parks: insights from social media data on visitor perception8 cited