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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:

Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method
Jian-Wu Bi, Chunxiao Li, Hong Xu, et al.
Journal of Travel Research (2021) Vol. 61, Iss. 8, pp. 1719-1737
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Tourism forecasting by mixed-frequency machine learning
Mingming Hu, Li Mei, Yuxiu Chen, et al.
Tourism Management (2024) Vol. 106, pp. 105004-105004
Closed Access | Times Cited: 17
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: 24
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
Machine learning applied to tourism: A systematic review
José Carlos Sancho Núñez, Juan A. Gómez‐Pulido, Rafael Robina Ramírez
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 7
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 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
The Impact of Events and Holidays on Tourism Demand: A Push-Pull Perspective
Don Wu, Shanshan Qi, Doris Chenguang Wu
Journal of China Tourism Research (2025), pp. 1-22
Closed Access
Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations
Jian-Wu Bi, Tianyu Han, Yanbo Yao, et al.
Information Technology & Tourism (2022) Vol. 24, Iss. 1, pp. 127-155
Closed Access | Times Cited: 22
Forecasting daily tourism demand with multiple factors
Shilin Xu, Yang Liu, Chun Jin
Annals of Tourism Research (2023) Vol. 103, pp. 103675-103675
Closed Access | Times Cited: 15
Tourism combination forecasting with swarm intelligence
Hengyun Li, Honggang Guo, Jianzhou Wang, et al.
Annals of Tourism Research (2025) Vol. 111, pp. 103932-103932
Closed Access
Forecasting tourism demand with pre-holiday attribute
Yong Liu, Xiaojin Fu, Jeffrey Lin Yi Forrest
Information Technology & Tourism (2025)
Closed Access
Forecast daily tourist volumes during the epidemic period using COVID-19 data, search engine data and weather data
Chuan Zhang, Yu‐Xin Tian
Expert Systems with Applications (2022) Vol. 210, pp. 118505-118505
Open Access | Times Cited: 20
Exploring the influence of natural and cultural environments on tourism demand: a spatial analysis
W Gu, Zhongzhu Chu, Xin Li
Asia Pacific Journal of Tourism Research (2024) Vol. 29, Iss. 4, pp. 440-460
Closed Access | Times Cited: 3
Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble
Erlong Zhao, Pei Du, Ernest Young Azaglo, et al.
Current Issues in Tourism (2022) Vol. 26, Iss. 7, pp. 1112-1131
Closed Access | Times Cited: 16
Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model
Jian-Wu Bi, Tianyu Han, Yanbo Yao
Tourism Economics (2023) Vol. 30, Iss. 2, pp. 361-388
Closed Access | Times Cited: 10
Fine-grained tourism demand forecasting: A decomposition ensemble deep learning model
Jian-Wu Bi, Tianyu Han, Yanbo Yao
Tourism Economics (2023) Vol. 29, Iss. 7, pp. 1736-1763
Closed Access | Times Cited: 9
Decoding the future: Proposing an interpretable machine learning model for hotel occupancy forecasting using principal component analysis
Daniele Contessi, Luciano Viverit, Luís Nobre Pereira, et al.
International Journal of Hospitality Management (2024) Vol. 121, pp. 103802-103802
Open Access | Times Cited: 3
Daily tourism demand forecasting before and during COVID-19: data predictivity and an improved decomposition-ensemble framework
Yanzhao Li, Dongchuan Yang, Ju’e Guo, et al.
Current Issues in Tourism (2023) Vol. 27, Iss. 8, pp. 1208-1228
Closed Access | Times Cited: 7
Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management
Dolores Ordóñez-Martínez, Joana Maria Seguí‐Pons, Maurici Ruíz
Smart Cities (2024) Vol. 7, Iss. 1, pp. 633-661
Open Access | Times Cited: 2
A novel two-stage combination model for tourism demand forecasting
Mingming Hu, Haifeng Yang, Doris Chenguang Wu, et al.
Tourism Economics (2024) Vol. 30, Iss. 8, pp. 1925-1950
Closed Access | Times Cited: 2
Daily tourism demand forecasting and tourists’ search behavior analysis: a deep learning approach
Xinyan Zhang, Meng Cheng, Doris Chenguang Wu
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 2
Utilizing textual data from online reviews for daily tourism demand forecasting: A deep learning approach leveraging word embedding techniques
Chuan Zhang, Yu‐Xin Tian, Ao-Yun Hu
Expert Systems with Applications (2024), pp. 125439-125439
Closed Access | Times Cited: 2
A study of employee attitudes towards AI, its effect on sustainable development goals and non-financial performance in independent hotels
María Jesús Jerez-Jerez
International Journal of Hospitality Management (2024) Vol. 124, pp. 103987-103987
Open Access | Times Cited: 2
Tourism Demand Interval Forecasting Amid COVID-19: A Hybrid Model With a Modified Multi-Objective Optimization Algorithm
Jianzhou Wang, Lifang Zhang, Zhenkun Liu, et al.
Journal of Hospitality & Tourism Research (2023) Vol. 48, Iss. 7, pp. 1164-1181
Closed Access | Times Cited: 5
Forecasting duty-free shopping demand with multisource data: a deep learning approach
Dong Zhang, Pengkun Wu, Chong Wu, et al.
Annals of Operations Research (2024) Vol. 339, Iss. 1-2, pp. 861-887
Closed Access | Times Cited: 1
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