School of Economics and Management

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Faculty List

Xin Li

Associate Professor

Email:drxinli@ustb.edu.cn

Academic qualifications

08/2017-02/2018, Visiting Scholar, University of Florida
05/2014-07/2014, Senior Research Assistant, Department of Information Systems, City University of Hong Kong 04/2013-06/2013, Senior Research Assistant, Department of Information Systems, City University of Hong Kong
09/2010-07/2015, Phd. Management Science and Engineering, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China
09/2006-07/2010, BSc. Information Management and Systems, School of Economics and Management, Beijing University of Chemical Technology, Beijing, China

Research Interests

Big data analytics, Business intelligence, Econometrics, Information technology, Machine learning, Tourism forecasting.

Publications

Referred Journal Papers
[1] Li, X.*, Law, R., Xie, G., Wang, S. (2020). Review of tourism forecasting research with Internet data. Tourism Management, Forthcoming. SSCI, IF:7.027 ABS 4 JCR1
[2] Li, X. Li, H., Pan, B., Law, R. (2020). Machine learning in internet search query selection for tourism forecasting. Journal of Travel Research. https://doi.org/10.1177/0047287520934871. .SSCI, IF:7.027 ABS 4 JCR1
[3] Li, X.*, & Law, R. (2020). Forecasting tourism demand with decomposed search cycles. Journal of Travel Research. 59 (1):52-68. SSCI, ABS 4, IF:5.169
[4] Li, X.*, & Law, R. (2020). Network analysis of big data research in tourism. Tourism Management Perspectives, 2020, 33: 100608. SSCI
[5] Xie, G., Li, X., Qian, Y., Wang, S. (2020). Forecasting tourism demand with KPCA-based web search indexes, Tourism Economics. https://doi.org/10.1177/1354816619898576. SSCI
[6] Li, X., Zhang X, Wang, S., & Ma, J. (2019). Attention matters: an exploration of relationship between Google search behaviors and crude oil prices. Journal of Systems Science and Complexity, 32(5), 1438-1459. SCI
[7] Li, X.*, Pan, B., Law, R., & Huang, X. (2017). Forecasting tourism demand with composite search index. Tourism Management, 59, 57-66. (SSCI) Highly cited paper from Essential Science Indicators, ABS 4
[8] Li, X., Shang, W., Wang, S., & Ma, J. (2015). A MIDAS modelling framework for Chinese inflation forecast incorporating Google search data, Electronic Commerce Research and Applications, 14(2), 112-125. SSCI/SCI
[9] Li, X., Ma, J., Wang, S., & Zhang, X. (2015). How does Google search affect trader positions and crude oil prices? Economic Modelling, 49, 162-171. SCI
[10] Ren, W., & Li, X. (2018). Tourism demand analysis based on Internet big data: The case of Huairou, Beijing. Systems Engineering - Theory & Practice, 38(2): 437-443. EI
[11] Li, X., & Zhang, X. (2016). A new method for web search index construction and its application in crude oil prices, Systems Engineering -Theory & Practice, 36(2), 319-325. EI
[12] Li, X., Ma, J., Shang, W., Wang, S., & Zhang, X. (2014). How does public attention influence natural gas price? new evidence with Google search data. International Journal of Knowledge and Systems Science, 5(2), 65-80.
[13] Ren, W., Li, X*. (2016). A tourism early warning system framework based on multi-sources big data, Science & Technology for Development, 12(2), 50-55.
Editorials, Monograph and Others
[1] Li, X., Wang, S. Research on Internet Massive Search Data Mining and Its Application in Forecasting and Early Warning (Chinese), Science Press, Beijing, China.

Research Funding

[1] Research on Tourism Forecasting and Early Warning Based on Internet Data Mining (71601021), funded by National Natural Science Foundation of China. Role: PI, 2017–2019. Amount awarded: 170,000CNY.
[2] Tourism Forecasting Based on Multiple Internet Data (FRF-TP-19-067A1), funded by the Fundamental Research Funds for the Central Universities. Role: PI, 2020-2021. Amount awarded: 40,000CNY.