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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria
Ulrich Gunter, İrem Önder, Stefan Gindl
Tourism Economics (2018) Vol. 25, Iss. 3, pp. 375-401
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 565
Forecasting tourism demand with multisource big data
Hengyun Li, Mingming Hu, Gang Li
Annals of Tourism Research (2020) Vol. 83, pp. 102912-102912
Open Access | Times Cited: 186
Tourism demand forecasting using tourist-generated online review data
Mingming Hu, Hengyun Li, Haiyan Song, et al.
Tourism Management (2022) Vol. 90, pp. 104490-104490
Closed Access | Times Cited: 95
Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach
Wolfram Höpken, Tobias Eberle, Matthias Fuchs, et al.
Journal of Travel Research (2020) Vol. 60, Iss. 5, pp. 998-1017
Closed Access | Times Cited: 123
Sport Brands: Brand Relationships and Consumer Behavior
Thilo Kunkel, Rui Biscaia
Sport Marketing Quarterly (2020) Vol. 29, Iss. 1, pp. 3-17
Open Access | Times Cited: 82
Tourism demand forecasting with online news data mining
Eunhye Park, Jinah Park, Mingming Hu
Annals of Tourism Research (2021) Vol. 90, pp. 103273-103273
Open Access | Times Cited: 74
Is Google Trends a quality data source?
Eduardo Cebrián, Josep Domènech
Applied Economics Letters (2022) Vol. 30, Iss. 6, pp. 811-815
Open Access | Times Cited: 47
Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach
Jing Wu, Mingchen Li, Erlong Zhao, et al.
Tourism Management (2023) Vol. 98, pp. 104759-104759
Open Access | Times Cited: 37
Tourism forecasting with granular sentiment analysis
Hengyun Li, Huicai Gao, Haiyan Song
Annals of Tourism Research (2023) Vol. 103, pp. 103667-103667
Closed Access | Times Cited: 26
Tourism and Hospitality Forecasting With Big Data: A Systematic Review of the Literature
Doris Chenguang Wu, Shiteng Zhong, Ji Wu, et al.
Journal of Hospitality & Tourism Research (2024)
Open Access | Times Cited: 16
Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting
Doris Chenguang Wu, Shiteng Zhong, Haiyan Song, et al.
International Journal of Hospitality Management (2024) Vol. 120, pp. 103750-103750
Closed Access | Times Cited: 11
Utilizing Facebook Statistics in Tourism Demand Modeling and Destination Marketing
İrem Önder, Ulrich Gunter, Stefan Gindl
Journal of Travel Research (2019) Vol. 59, Iss. 2, pp. 195-208
Open Access | Times Cited: 76
Are customer reviews just reviews? Hotel forecasting using sentiment analysis
Doris Chenguang Wu, Shiteng Zhong, Richard T.R. Qiu, et al.
Tourism Economics (2021) Vol. 28, Iss. 3, pp. 795-816
Closed Access | Times Cited: 43
Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach
Dinda Thalia Andariesta, Meditya Wasesa
Journal of Tourism Futures (2022)
Open Access | Times Cited: 34
Effectiveness of social media marketing on enhancing performance: Evidence from a casual-dining restaurant setting
Jun Li, Woo Gon Kim, Hyung‐Min Choi
Tourism Economics (2019) Vol. 27, Iss. 1, pp. 3-22
Closed Access | Times Cited: 44
Forecasting daily attraction demand using big data from search engines and social media
Tian Feng-jun, Yang Yang, Zhenxing Mao, et al.
International Journal of Contemporary Hospitality Management (2021) Vol. 33, Iss. 6, pp. 1950-1976
Closed Access | Times Cited: 38
Forecasting tourist arrivals: Google Trends meets mixed-frequency data
Tomáš Havránek, Ayaz Zeynalov
Tourism Economics (2019) Vol. 27, Iss. 1, pp. 129-148
Open Access | Times Cited: 40
Tourism demand forecasting based on user-generated images on OTA platforms
Shuai Ma, Hengyun Li, Mingming Hu, et al.
Current Issues in Tourism (2023) Vol. 27, Iss. 11, pp. 1814-1833
Closed Access | Times Cited: 13
Addressing Google Trends inconsistencies
Eduardo Cebrián, Josep Domènech
Technological Forecasting and Social Change (2024) Vol. 202, pp. 123318-123318
Open Access | Times Cited: 4
An Exploratory Analysis of Geotagged Photos From Instagram for Residents of and Visitors to Vienna
Ulrich Gunter, İrem Önder
Journal of Hospitality & Tourism Research (2020) Vol. 45, Iss. 2, pp. 373-398
Closed Access | Times Cited: 28
Spatial Analysis of Network Attention on Tourism Resources for Sustainable Tourism Development in Western Hunan, China: A Multi-Source Data Approach
Huizi Zeng, Chengjun Tang, Chen Zhou, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 744-744
Open Access
Forecasting Tourist Arrivals with the Help of Web Sentiment: A Mixed-frequency Modeling Approach for Big Data
İrem Önder, Ulrich Gunter, Arno Scharl
Tourism Analysis (2019) Vol. 24, Iss. 4, pp. 437-452
Closed Access | Times Cited: 29
Forecasting tourism demand with KPCA-based web search indexes
Gang Xie, Li Xin, Yatong Qian, et al.
Tourism Economics (2020) Vol. 27, Iss. 4, pp. 721-743
Closed Access | Times Cited: 24
Which search queries are more powerful in tourism demand forecasting: searches via mobile device or PC?
Mingming Hu, Mengqing Xiao, Hengyun Li
International Journal of Contemporary Hospitality Management (2021) Vol. 33, Iss. 6, pp. 2022-2043
Open Access | Times Cited: 23
Tourism demand forecasting using short video information
Mingming Hu, Na Dong, Fang Hu
Annals of Tourism Research (2024) Vol. 109, pp. 103838-103838
Closed Access | Times Cited: 3
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