专著：
李新，汪寿阳，互联网海量搜索数据挖掘研究及其在预测和预警中的应用. 科学出版社, 北京, 2020.
代表性论文：
[1] Li, X. *, Law, R., Xie, G., Wang, S. Review of tourism forecasting research with internet data [J]. Tourism Management, 2021, 83, 104245. SSCI, JCR一区, ABS四星, IF=12.879
[2] Sun, Y., Zhang, J., Li, X.*, Wang, S. Forecasting tourism demand with a new time-varying forecast averaging approah [J]. Journal of Travel Research, 2021. https://doi.org/10.1177/00472875211061206. SSCI, JCR一区, ABS四星, IF=8.933
[3] Hu, M, Li, H., Song, H., Li, X., Law, R. Tourism demand forecasting using tourist-generated online review data [J]. Tourism Management, 2022, 90, 104490. SSCI, JCR一区,ABS四星 IF=12.879
[4] Li, X. Li, H., Pan, B., Law, R. Machine learning in internet search query selection for tourism forecasting. Journal of Travel Research, 2020. https://doi.org/10.1177/0047287520934871. SSCI, JCR一区, ABS四星, IF=8.933
[5] Li, X*. & Law, R. Forecasting tourism demand with decomposed search cycles. Journal of Travel Research. 2020, 59 (1):52-68. SSCI, JCR一区, ABS四星, ESI高被引论文, IF=8.933
[6] Li, X.*, Pan, B., Law, R., & Huang, X. Forecasting tourism demand with composite search index. Tourism Management, 2017, 59, 57-66. SSCI, JCR一区, ABS四星, ESI高被引论文 IF=12.879
[7] Li, X.*, & Law, R. Network analysis of big data research in tourism. Tourism Management Perspectives, 2020, 33: 100608. SSCI, IF:3.648, JCR一区
[8] Li, X., Zhang X, Wang, S., & Ma, J. Attention matters: An exploration of relationship between Google Search behaviors and crude oil prices. Journal of Systems Science and Complexity. 2019, 32(5), 1438-1459. 国内系统科学顶级期刊, SCI
[9] 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
[10] Li, X., Shang, W., Wang, S., & Ma, J. A MIDAS modelling framework for Chinese inflation forecast incorporating Google search data, Electronic Commerce Research and Applications, 2015, 14(2), 112-125. SSCI/SCI, IF:3.824
[11] Li, X., Ma, J., Wang, S., & Zhang, X. How does Google search affect trader positions and crude oil prices? Economic Modelling, 2015, 49, 162-171. SCI, IF:1.930
[12] Li, X., Ma, J., Shang, W., Wang, S., & Zhang, X. How does public attention influence natural gas price? New evidence with Google search data. International Journal of Knowledge and Systems Science, 2014, 5(2), 65-80.
[13] 李新, 张珣. 互联网搜索指数构建新方法及国际油价实证研究, 系统工程理论与实践, 2016, 36(2): 319-325. EI/国家自然科学基金委管理科学部认定的A类期刊
[14] 任武军，李新*. 基于互联网大数据的旅游需求分析—以北京怀柔为例, 系统工程理论与实践, 2018, 38(2): 437-443. EI/国家自然科学基金委管理科学部认定的A类期刊
[15] 任武军，李新*. 基于多源大数据的旅游预警系统架构设计, 科技促进发展，2016, 12(2)：162-167.
[16] Li, X*. Investor psychological bias and speculation: the asymmetric impacts of big data on commodity prices, Proceedings of 35th International Conference on Information Systems (ICIS), Auckland, New Zealand, December, 2014. 管理信息系统领域顶级国际会议
[17] Li, X., Shang, W., & Wang, S. Incorporation of social media data into the macroeconomic forecast: a mixed frequency model. Proceedings of 17th Pacific Asia Conference on Information Systems (PACIS), Korea, June, 2013. 管理信息系统领域亚太顶级国际会议
