Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing-Reference-Cited by-同舟云学术

Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing

Published:2020-04-09 Issue:4 Volume:15 Page:e0228175
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Yunxian Chi,Renjie Li^ORCID,Shuliang Zhao,Fenghua Guo

Funder

the National Natural Science Foundation of China

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

the 2018 Hebei Province Doctoral Postgraduate Innovation Funding Project

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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1. The Sustainable Rhythm of Destination Popularity: A Song of Local Well-Being and Lasting Charm;Journal of Hospitality & Tourism Research;2024-01-03

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3. S&I Reader: Multi-Granularity Gated Multi-Hop Skimming and Intensive Reading Model for Machine Reading Comprehension;IEEE Access;2021

4. Correction: Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing;PLOS ONE;2020-05-05