References

• 1995Local Indicators of Spatial Association—LISA13,061 cited
• 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
• 2012Predicting the Present with Google Trends2,353 cited
• 2006Online Information Search433 cited
• 2014Forecasting Chinese tourist volume with search engine data432 cited
• 2018Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index248 cited
• 2016The Baidu Index: Uses in predicting tourism flows –A case study of the Forbidden City244 cited
• 2012Forecasting hotel room demand using search engine data204 cited
• 2019Spatial pattern of population mobility among cities in China: Case study of the National Day plus Mid-Autumn Festival based on Tencent migration data182 cited
• 2016Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data139 cited
• 2016A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data115 cited
• 2019Spurious patterns in Google Trends data - An analysis of the effects on tourism demand forecasting in Germany109 cited
• 2013Using geotagged photographs and GIS analysis to estimate visitor flows in natural areas101 cited
• 2015Can internet searches forecast tourism inflows?87 cited