Skip To Main Content
Lingzhi Yin on Muck Rack

Lingzhi Yin

As seen in: MDPI, Taylor & Francis Online
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Lingzhi

Contact Lingzhi, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Spatiotemporal vulnerability analysis of China’s high-speed railway network to seismic hazards

|
By Lingzhi Yin, Jinhong Wang, Yanchao Wang
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT This paper integrates complex network theory with spatiotemporal hotspot analysis to assess the vulnerability of high-speed railway network.
Open in Who Shared Issue with article?

Spatiotemporal Evolution and Risk Analysis of Land Use in the Coastal Zone of the Yangtze River Delta Region of China

|
By Lingzhi Yin, Yafei Wang, Yuxuan Ye, Chenglai Sun
| MDPI
Abstract : The extensive accumulation of big data, along with the development of a high-performance platform, bridge the gap between the previous inability to provide long-term time series and broad-scale coastal zone monitoring and risk warnings with remote sensing techniques. Based on 20 years of Landsat images from the Google Earth Engine platform, the time series land cover in the coastal zone of the Yangtze River Delta in China was classified.
Open in Who Shared Issue with article?

Spatiotemporal Evolution Analysis of the Chinese Railway Network Structure Based on Self-Organizing Maps

|
By Yafei Wang, Lingzhi Yin
| MDPI
Abstract : Delving into the spatiotemporal evolution of the railway network in different periods can provide guidance and reference for the planning and layout of the railway network. However, most of the existing studies tended to model the railway data separately and compare the network indices of adjacent periods based on the railway data of different periods, thus failing to integrate the railway network in different periods into a unified framework for evolution analysis.
Open in Who Shared Issue with article?
See all 3 articles