OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Identifying unreliable online hospitality reviews with biased user-given ratings: A deep learning forecasting approach
Tianxiang Zheng, Feiran Wu, Rob Law, et al.
International Journal of Hospitality Management (2020) Vol. 92, pp. 102658-102658
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic
Yi Luo, Xiaowei Xu
International Journal of Hospitality Management (2021) Vol. 94, pp. 102849-102849
Open Access | Times Cited: 151

Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Behrouz Minaei-Bidgoli, et al.
Journal of Retailing and Consumer Services (2021) Vol. 64, pp. 102783-102783
Closed Access | Times Cited: 63

Analysis of customers' satisfaction with baby products: The moderating role of brand image
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Sarminah Samad, et al.
Journal of Retailing and Consumer Services (2023) Vol. 73, pp. 103334-103334
Closed Access | Times Cited: 32

Comparing content marketing strategies of digital brands using machine learning
Yulin Chen
Humanities and Social Sciences Communications (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 22

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: 9

Customer satisfaction through online reviews analysis – a case study of Slovak spas
Ján Derco, Dana Tometzová
Worldwide Hospitality and Tourism Themes (2025)
Closed Access | Times Cited: 1

Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media
Qihang Qiu, Mu Zhang
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 4, pp. 240-240
Open Access | Times Cited: 49

Can Live Streaming Save the Tourism Industry from a Pandemic? A Study of Social Media
Qihang Qiu, Yifan Zuo, Mu Zhang
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 9, pp. 595-595
Open Access | Times Cited: 40

A Hybrid Method for Big Data Analysis Using Fuzzy Clustering, Feature Selection and Adaptive Neuro-Fuzzy Inferences System Techniques: Case of Mecca and Medina Hotels in Saudi Arabia
Abdullah Alghamdi
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 2, pp. 1693-1714
Closed Access | Times Cited: 26

Text Analysis in Tourism and Hospitality: A Comprehensive Review
Jian-Wu Bi, Xue-Er Zhu, Tianyu Han
Journal of Travel Research (2024) Vol. 63, Iss. 8, pp. 1847-1869
Closed Access | Times Cited: 5

A Hybrid Method for Customer Segmentation in Saudi Arabia Restaurants Using Clustering, Neural Networks and Optimization Learning Techniques
Abdullah Alghamdi
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 2, pp. 2021-2039
Open Access | Times Cited: 20

Text classification in tourism and hospitality – a deep learning perspective
Jun Liu, Sike Hu, Fuad Mehraliyev, et al.
International Journal of Contemporary Hospitality Management (2023) Vol. 35, Iss. 12, pp. 4177-4190
Closed Access | Times Cited: 11

Reducing the Bias in Online Reviews Using Propensity Score Adjustment
Saram Han, Daria Mikhailova
Cornell Hospitality Quarterly (2024) Vol. 65, Iss. 4, pp. 429-441
Closed Access | Times Cited: 4

Enhancing credibility assessment in online social networks using multimodal deep learning
Monika Chaudhary, Satyendra Singh Chouhan
Applied Soft Computing (2025) Vol. 171, pp. 112796-112796
Closed Access

Deconstructing customer satisfaction recipes: A dynamic configurational framework leveraging the power of online reviews in tourism contexts
Yong Qin, C. L. Luo, Eric W.T. Ngai
Tourism Management (2025) Vol. 110, pp. 105181-105181
Closed Access

Trust Model for Online Reviews of Tourism Services and Evaluation of Destinations
Josef Zelenka, Tracy Azubuike, Martina Pašková
Administrative Sciences (2021) Vol. 11, Iss. 2, pp. 34-34
Open Access | Times Cited: 26

The impacts of geographic and social influences on review helpfulness perceptions: A social contagion perspective
Long Xia
Tourism Management (2022) Vol. 95, pp. 104687-104687
Closed Access | Times Cited: 17

Comparison of Machine Learning and Sentiment Analysis in Detection of Suspicious Online Reviewers on Different Type of Data
Kristína Machová, Marián Mach, Matej Vasilko
Sensors (2021) Vol. 22, Iss. 1, pp. 155-155
Open Access | Times Cited: 22

Governments manipulate official Statistics: Institutions matter
Andre Briviba, Bruno S. Frey, Louis Moser, et al.
European Journal of Political Economy (2024) Vol. 82, pp. 102523-102523
Open Access | Times Cited: 2

Bias-Aware Design for Informed Decisions: Raising Awareness of Self-Selection Bias in User Ratings and Reviews
Qian Zhu, Leo Yu‐Ho Lo, Meng Xia, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW2, pp. 1-31
Open Access | Times Cited: 10

Design standardization by Airbnb multi-unit hosts
Huihui Zhang, F. Zach, Zheng Xiang
Annals of Tourism Research (2022) Vol. 98, pp. 103523-103523
Open Access | Times Cited: 10

How consumer opinions are affected by marketers: an empirical examination by deep learning approach
Billy T.W. Yu
Journal of Research in Interactive Marketing (2021) Vol. 16, Iss. 4, pp. 601-614
Closed Access | Times Cited: 13

Spider Taylor-ChOA: Optimized Deep Learning Based Sentiment Classification for Review Rating Prediction
Santosh Kumar Banbhrani, Bo Xu, Hongfei Lin, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3211-3211
Open Access | Times Cited: 9

Page 1 - Next Page

Scroll to top