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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:

A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting
Haiyan Song, Richard T.R. Qiu, Jinah Park
Annals of Tourism Research (2019) Vol. 75, pp. 338-362
Open Access | Times Cited: 402

Showing 26-50 of 402 citing articles:

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: 13
Forecasting tourism demand with search engine data: A hybrid CNN-BiLSTM model based on Boruta feature selection
J. Chen, Zhihao Ying, Chonghui Zhang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103699-103699
Closed Access | Times Cited: 13
What attributes affect customer satisfaction in green restaurants? An aspect-based sentiment analysis approach
M. R. Shahhosseini, Arash Khalili Nasr
Journal of Travel & Tourism Marketing (2024) Vol. 41, Iss. 4, pp. 472-490
Closed Access | Times Cited: 11
Enhancing tourism demand forecasting with a transformer-based framework
Xin Li, Yechi Xu, Rob Law, et al.
Annals of Tourism Research (2024) Vol. 107, pp. 103791-103791
Open Access | Times Cited: 10
Avoiding food waste from restaurant tickets: a big data management tool
Ismael Gómez-Talal, Lydia González Serrano, José Luis Rojo‐Álvarez, et al.
Journal of Hospitality and Tourism Technology (2024) Vol. 15, Iss. 2, pp. 232-253
Open Access | Times Cited: 9
A bibliometric review of barriers to circular economy implementation in solid waste management
Isaac Akomea-Frimpong, Portia Atswei Tetteh, Joshua Nsiah Addo Ofori, et al.
Discover Environment (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 9
Forecasting Tourist Daily Arrivals With A Hybrid Sarima–Lstm Approach
Don Wu, Lei Ji, Kaijian He, et al.
Journal of Hospitality & Tourism Research (2020) Vol. 45, Iss. 1, pp. 52-67
Closed Access | Times Cited: 63
Group pooling for deep tourism demand forecasting
Yishuo Zhang, Gang Li, Birgit Muskat, et al.
Annals of Tourism Research (2020) Vol. 82, pp. 102899-102899
Closed Access | Times Cited: 62
Forecasting tourist arrivals using denoising and potential factors
Cheng Li, Peng Ge, Zhusheng Liu, et al.
Annals of Tourism Research (2020) Vol. 83, pp. 102943-102943
Closed Access | Times Cited: 58
Knowledge mapping of tourism demand forecasting research
Chengyuan Zhang, Shouyang Wang, Shaolong Sun, et al.
Tourism Management Perspectives (2020) Vol. 35, pp. 100715-100715
Open Access | Times Cited: 58
Hierarchical pattern recognition for tourism demand forecasting
Mingming Hu, Richard T.R. Qiu, Doris Chenguang Wu, et al.
Tourism Management (2020) Vol. 84, pp. 104263-104263
Open Access | Times Cited: 58
Artificial Intelligence in Tourism: A Review and Bibliometrics Research
İsmail Gökay KIRTIL, Volkan AŞKUN
Advances in Hospitality and Tourism Research (AHTR) (2021) Vol. 9, Iss. 1, pp. 205-233
Open Access | Times Cited: 52
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: 42
Demand forecasting model using hotel clustering findings for hospitality industry
Kıymet Kaya, Yaren Yılmaz, Yusuf Yaslan, et al.
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102816-102816
Closed Access | Times Cited: 40
Gravity models for tourism demand modeling: Empirical review and outlook
Jaume Rosselló, María Santana-Gallego
Journal of Economic Surveys (2022) Vol. 36, Iss. 5, pp. 1358-1409
Open Access | Times Cited: 36
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
Analysis of spatial patterns and driving factors of provincial tourism demand in China
Xuankai Ma, Zhaoping Yang, Jianghua Zheng
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 32
Economic Policy Uncertainty and International Tourism Demand: A Global Vector Autoregressive Approach
Rockie U Kei Kuok, Tay T.R. Koo, Christine Lim
Journal of Travel Research (2022) Vol. 62, Iss. 3, pp. 540-562
Closed Access | Times Cited: 27
Impact of decomposition on time series bagging forecasting performance
Xinyang Liu, Anyu Liu, Jason Li Chen, et al.
Tourism Management (2023) Vol. 97, pp. 104725-104725
Closed Access | Times Cited: 18
A graph-attention based spatial-temporal learning framework for tourism demand forecasting
Binggui Zhou, Yunxuan Dong, Guanghua Yang, et al.
Knowledge-Based Systems (2023) Vol. 263, pp. 110275-110275
Closed Access | Times Cited: 16
Tourism demand forecasting using complex network theory
Weimin Zheng, Jianqiang Li, Cheng Li
Asia Pacific Journal of Tourism Research (2024) Vol. 29, Iss. 3, pp. 302-320
Closed Access | Times Cited: 6
Tourism forecasts after COVID-19: Evidence of Portugal
R. Mueller, Nuno Sobreira
Annals of Tourism Research Empirical Insights (2024) Vol. 5, Iss. 1, pp. 100127-100127
Open Access | Times Cited: 5
Analyzing the COVID-19 impact on Italian tourism industry
Angelica Lo Duca, Andrea Marchetti
Journal of Systems and Information Technology (2025)
Closed Access
Incorporating grey relational analysis into decomposition ensemble models for forecasting air passenger demand
Yi‐Chung Hu, Geng Wu, Jung‐Fa Tsai
Grey Systems Theory and Application (2025)
Closed Access
Tourism demand forecasting using compound pattern recognition
Mingming Hu, Wenli Liang, Richard T.R. Qiu, et al.
Tourism Management (2025) Vol. 109, pp. 105138-105138
Closed Access

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