| A big data analytics method for tourist behaviour analysis SJ Miah, HQ Vu, J Gammack, M McGrath Information & Management 54 (6), 771-785, 2016 | 495 | 2016 |
| Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos HQ Vu, G Li, R Law, BH Ye Tourism Management 46, 222-232, 2015 | 477 | 2015 |
| Identifying emerging hotel preferences using emerging pattern mining technique G Li, R Law, HQ Vu, J Rong, XR Zhao Tourism management 46, 311-321, 2015 | 243 | 2015 |
| Exploring Tourist Dinning Preferences Based on Restaurant Reviews HQ Vu, G Li, R Law, Y Zhang Journal of Travel Research, 2017 | 174 | 2017 |
| Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral G Li, R Law, HQ Vu, J Rong Tourism Management 36, 321–330, 2013 | 173 | 2013 |
| A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining J Rong, HQ Vu, R Law, G Li Tourism Management, 2012 | 161 | 2012 |
| Tourist Activity Analysis by Leveraging Mobile Social Media Data HQ Vu, G Li, R Law, Y Zhang Journal of Travel Research, 2017 | 130 | 2017 |
| Understanding service attributes of robot hotels: A sentiment analysis of customer online reviews JM Luo, HQ Vu, G Li, R Law International Journal of Hospitality Management 98, 103032, 2021 | 125 | 2021 |
| Domestic Violence Crisis Identification from Facebook Posts Based on Deep Learning S Subramani, H Wang, HQ Vu, G Li IEEE Access, 2018 | 90 | 2018 |
| Evaluation of Hotel Brand Competitiveness Based on Hotel Features Ratings H Xia, HQ Vu, G Li, R Law International Journal of Hospitality Management 86, 102366, 2019 | 82 | 2019 |
| Topic modelling for theme park online reviews: Analysis of Disneyland JM Luo, HQ Vu, G Li, R Law Journal of Travel & Tourism Marketing, 2020 | 79 | 2020 |
| Identifying changes and trends in Hong Kong outbound tourism R Law, J Rong, HQ Vu, G Li, HA Lee Tourism Management 32 (5), 1106-1114, 2011 | 77 | 2011 |
| Discovering implicit activity preferences in travel itineraries by topic modeling HQ Vu, G Li, R Law Tourism Management 75, 435-446, 2019 | 74 | 2019 |
| Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data V Bui, AR Alaei, HQ Vu, G Li, R Law Journal of Travel Research, 2022 | 69 | 2022 |
| Travel Diaries Analysis by Sequential Rule Mining HQ Vu, G Li, R Law, Y Zhang Journal of Travel Research, 2017 | 65 | 2017 |
| Large scale comparative analyses of hotel photo content posted by managers and customers to review platforms based on deep learning: Implications for hospitality marketers M Ren, HQ Vu, G Li, R Law Journal of Hospitality Marketing & Management, 2020 | 55 | 2020 |
| Evaluating Museum Visitor Experiences Based on User-Generated Travel Photos HQ Vu, JM Luo, BH Ye, G Li, R Law Journal of Travel & Tourism Marketing, 2017 | 55 | 2017 |
| Identifying Hotel Competitiveness Based on Hotel Feature Ratings H Xia, HQ Vu, Q Lan, R Law, G Li Journal of Hospitality Marketing & Management, 2018 | 51 | 2018 |
| Cross-Country Analysis of Tourist Activities Based on Venue-Referenced Social Media Data HQ Vu, G Li, R Law Journal of Travel Research, 2019 | 50 | 2019 |
| Navigating ‘Home Schooling’ during COVID-19: Australian public response on Twitter LA Ewing, HQ Vu Media International Australia, 1329878X20956409, 2020 | 44 | 2020 |
Gang LiProfessor, Deakin UniversityEmail verificata su deakin.edu.au