On the public citation graph

The Impact of the Asian Financial Crisis on Japanese Demand for Travel to Hong Kong:

https://doi.org/10.1300/j073v10n02_03
0 signed · 14 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2507362openalex-extracted
Tourism Demand Forecasting with Different Neural Networks Models
inferred← citeshttps://doi.org/10.2139/ssrn.2507367openalex-extracted
A Multivariate Neural Network Approach to Tourism Demand Forecasting
inferred← citeshttps://doi.org/10.1007/978-3-540-73871-8_47openalex-snapshot
Data Mining in Tourism Demand Analysis: A Retrospective Analysis
inferred← citeshttps://doi.org/10.1016/j.annals.2016.08.001openalex-snapshot
Factors affecting bilateral Chinese and Japanese travel
inferred← citeshttps://doi.org/10.1016/j.annals.2021.103149openalex-snapshot
Forecasting tourism recovery amid COVID-19
inferred← citeshttps://doi.org/10.1016/j.trit.2016.03.004openalex-snapshot
Forecasting tourism demand by extracting fuzzy Takagi–Sugeno rules from trained SVMs
inferred← citeshttps://doi.org/10.1016/s1871-3173(06)01006-8openalex-snapshot
Chapter 6 Gender in Backpacking and Adventure Tourism
inferred← citeshttps://doi.org/10.1063/1.5043018openalex-snapshot
Neural network model based on data preprocessing technique for foreign tourists prediction
inferred← citeshttps://doi.org/10.1080/13683500.2013.776019openalex-snapshot
Understanding the tourism relationships between South Korea and China: a review of influential factors
inferred← citeshttps://doi.org/10.1108/16605370910988809openalex-snapshot
The sensitivity of German and British tourists to news shocks
inferred← citeshttps://doi.org/10.1108/ijchm-06-2014-0286openalex-snapshot
A new forecasting approach for the hospitality industry
inferred← citeshttps://doi.org/10.1177/0047287505278991openalex-snapshot
Structuring Destination Image: A Qualitative Approach
inferred← citeshttps://doi.org/10.1177/0047287505282946openalex-snapshot
Effects of News Shock on Inbound Tourist Demand Volatility in Korea
inferred← citeshttps://doi.org/10.4018/978-1-60566-026-4.ch042openalex-snapshot
Artificial Intelligence Applications in Tourism
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.