Text Mining, Opinion Mining and Sentiment Analysis
Machine Learning, Topic Modeling
Big Data Analytics, Network-based Business Analytics
Hierarchical Bayesian Modeling, Econometrics Analysis, Empirical Study
Interpretable AI and Its Applications in Business Analytics

Journal Publications
1.Zhang, W.P., Wei, C.P., Jiang, Q. Q., Peng, C.H., and Zhao, L., Beyond the Block: A Novel Blockchain Technical Model for Long-term Care Insurance. Journal of Management Information Systems (FT，Accepted).
2.Zhang, W., Du, W., Bian, Y., Peng, C., &Jiang Q. (2020). Seeing is not always believing: an exploratory study of clickbait in WeChat. Internet Research. 30(3): 1043-1058.
3.Zhang, W., Kang, L., Jiang, Q., & Pei, L. (2020). A 2020 perspective on “From buzz to bucks: The impact of social media opinions on the locus of innovation”: From Surfaces to Essences. Electronic Commerce Research and Applications. Volume 40. S1567422320300417.
4.Tao, X., Pham, T., Zhang, J., Yong, J., Goh, W. P., Zhang, W., & Cai, Y. (2020). Mining health knowledge graph for health risk prediction. World Wide Web, 1-22.
5.Lau, R. Y. K., Zhang, W., & Xu, W. (2018). Parallel aspect‐oriented sentiment analysis for sales forecasting with big data. Production and Operations Management, 27(10), 1775-1794. (Co-first author UTD Journal)
6.Zhang, W., Kang, L., Jiang, Q., & Pei, L. (2018). From buzz to bucks: the impact of social media opinions on the locus of innovation. Electronic Commerce Research and Applications.
7.Goh, W. P., Tao, X., Zhang, J., Yong, J., Zhang, W., & Xie, H. (2018). Drug prescription support in dental clinics through drug corpus mining. International Journal of Data Science and Analytics, 6(4), 341-349.
8.Lau, R. Y., Zhao, J. L., Zhang, W., Cai, Y., & Ngai, E. W. (2015). Learning Context-Sensitive Domain Ontologies from Folksonomies: A Cognitively Motivated Method. INFORMS Journal on Computing, 27(3), 561-578. (UTD journal)
9.Zhao, J., Lau, R. Y., Zhang, W., Zhang, K., Chen, X., & Tang, D. (2016). Extracting and reasoning about implicit behavioral evidences for detecting fraudulent online transactions in e-Commerce. Decision Support Systems, 86, 109-121
10.Zhang, W., Li, C., Ye, Y., Li, W., & Ngai, E. W. (2015). Dynamic Business Network Analysis for Correlated Stock Price Movement Prediction. Intelligent Systems, IEEE, 30(2), 26-33. (SCI, Impact factor 2015: 3.532)
11.Lau, R.Y.K. and Zhang, W. (2010). “Non-Monotonic Modeling for Personalized Services Retrieval and Selection,” International Journal of Systems and Service-Oriented Engineering, 1(2):55-68.
Conference Publications
1. Wenping Zhang, Hui Yuan, Wei Xu, Raymond Y. K. Lau. 2019. Hospital Reliability Evaluation in Chinese Context: A Study from the Decision Theory Perspective. ICIS.
2. Zhang, W., Jiang, Q., & Peng, C. (2019). UNFOLDING THE CLICKBAIT: A SIREN’S CALL IN THE ATTENTION ECONOMY. In The 27th European Conference on Information Systems (ECIS) 2019. European Conference on Information Systems.
3. Zhang, W., Kang, L., Jiang, Q., & Bian, Y. (2018). MORE THAN THE TONE: THE IMPACT OF SOCIAL MEDIA OPINIONS ON INNOVATION INVESTMENTS. In The 26th European Conference on Information Systems (ECIS) 2018. European Conference on Information Systems.
4. Zhang, W., Xu, M., & Jiang, Q. (2018, July). Opinion Mining and Sentiment Analysis in Social Media: Challenges and Applications. In International Conference on HCI in Business, Government, and Organizations (pp. 536-548). Springer, Cham.
5. Zhang, W., Lau, R.Y.K., and Li., C. 2014. “Adaptive Big Data Analytics for Deceptive Review Detection in Online Social Media,” Proceedings of the 35rd International Conference on Information Systems (Top conference in IS), Completed Research Paper.
6. Zhang, W., Lau, R.Y.K. 2013. “The Design of a Network-based Model for Business Performance Prediction,” Proceedings of the 34rd International Conference on Information Systems (Top conference in IS), Completed Research Paper.
7. Zhang, W., Lau, R.Y.K., Liao, S.S., Kwok, R.C.W. 2012. “A Probabilistic Generative Model for Latent Business Networks Mining”. Proceedings of the 33rd International Conference on Information Systems (Top conference in IS), Completed Research Paper.
8. Zhang, W., Lau, R.Y.K., Xia, Y., Li, C., and Li. W.M. 2012. “Latent Business Networks Mining: A Probabilistic Generative Model,” Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence.
9. Song, L., Zhang, W., Lau, R.Y.K., Liao, S., and Kwok, W. R.C. “A Critical Analysis of the State-of-the-art On Automated Detection of Deceptive Behavior in Social Media,” PACIS 2012 Proceedings. Paper 168.
10. Zhang, W., Yi, C., Lau, R.Y.K., Liao, S.S, and Kwok, C.W.R. \"Semi-Supervised Text Mining For Dynamic Business Network Discovery,\" PACIS 2012 Proceedings. Paper 138.
11. Lau, R.Y.K., Zhang, W., Bruza, P.D., and Wong, K.F. “Learning Domain-specific Sentiment Lexicons for Predicting Product Sales,” In Proceedings of the 2011 IEEE International Conference on e-Business Engineering, pages 131-138, Beijing, China, October 19-21 2011. IEEE Press.
12. Lau, R.Y.K., Zhang, W., and Tao, X. “Automatic Construction of Domain-specific Sentiment Lexicon for Context-Sensitive Opinion Retrieval,” Proceedings of the 4th IEEE International Conference on Computer Science and Information Technology, pp 296-300, 10/6/2011 - 12/6/2011.

2016.9-Present Lecturer, School of Information, Renmin University of China
2015.9-2016.8 Post-doctor Fellow, Department of Information Systems, City University
of Hong Kong
2015.6-2015.8 Research Assistant, Department of Information Systems, City University
of Hong Kong
2010.4-2011.5 Research Assistant, Department of Information Systems, City University
of Hong Kong
2009.10-2010.3 Research Assistant, Department of Computing, The Hong Kong
Polytechnic University