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Cited by 367

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Forecasting tourism demand with composite search index

Li, Xin, Pan, Bing, Law, Rob, Huang, Xiankai·2017·Tourism Management
DOI 10.1016/j.tourman.2016.07.005
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Crossref · 10.1016/j.tourman.2016.07.005

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Metadata

Authors
Li, X., Pan, B., Law, R., & Huang, X.
Venue
Tourism Management
Publisher
Elsevier BV
Published
2017-04
Volume
59
Pages
57-66
ISSN
0261-5177 (ISSN-L)
DOI
10.1016/j.tourman.2016.07.005
OpenAlex
W2500086770
Cited by
367
References
48
FWCI
32.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Forecasting tourism demand with composite search index. https://app.cochat.ai/papers/10.1016/j.tourman.2016.07.005
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Li, X., Pan, B., Law, R., & Huang, X. (2017). Forecasting tourism demand with composite search index. Tourism Management. https://doi.org/10.1016/j.tourman.2016.07.005

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.