Lingnan University Department of Operations and Risk Management
ORCID: 0000-0001-9864-7328
Research Interests
Data Science
Big Data
Healthcare Analytics
Finance Analytics
Marketing Analytics
Professional Affiliations
- Associate Professor of Teaching, Department of Operations and Risk Management, Lingnan University
- Programme Coordinator of the Master of Science in Artificial Intelligence and Business Analytics Programme, School of Data Science, Lingnan University
- Part-time Thesis Supervisor, Office of the Faculty of Business, Lingnan University
- Associate Professor of Teaching, Department of Operations and Risk Management, Lingnan University
- Programme Coordinator of the Master of Science in Artificial Intelligence and Business Analytics Programme, School of Data Science, Lingnan University
- Part-time Thesis Supervisor, Office of the Faculty of Business, Lingnan University
Academic Honors
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Professional Experience
Ph.D. (Lingnan University)
Ph.D. (Lingnan University)
Master’s Degree (The Hong Kong Polytechnic University)
Master’s Degree (The Hong Kong Polytechnic University)
Biography
Prof. SEE-TO Wing-kuen Eric is an Associate Professor of Teaching in the Department of Operations and Risk Management at Lingnan University. He is also the Programme Coordinator of the Master of Science in Artificial Intelligence and Business Analytics Programme at the School of Data Science. His research interests include Data Science, Big Data, Healthcare Analytics, Finance Analytics, and Marketing Analytics. He has published extensively in peer-reviewed journals and has led numerous research projects.
Awards & Recognition
- 2 Prizes (according to Lingnan Scholars)
- 2 Prizes (according to Lingnan Scholars)
Publications & Representative Works
Complete Bibliography
2026
Jha, S., Balaji, M. S., Guha, A., Biswas, A., See-To, E. W. K., & Ravula, P. (2026). The effect of recommendation display position on review persuasiveness: Moderating roles of temporal distance, affect, and valence. Journal of Retailing, 102(1), 165-183.
2026
Jha, S., Balaji, M. S., Guha, A., Biswas, A., See-To, E. W. K., & Ravula, P. (2026). The effect of recommendation display position on review persuasiveness: Moderating roles of temporal distance, affect, and valence. Journal of Retailing, 102(1), 165-183.
2026
Wu, J., Chen, G., Pang, C., Zhao, J., & See-To, E. W. K. (2026). Beyond single perspective bias: Fusing personalized and common preferences for comprehensive personal preference learning. Neural Networks, 193, 108028.
2026
Wu, J., Chen, G., Pang, C., Zhao, J., & See-To, E. W. K. (2026). Beyond single perspective bias: Fusing personalized and common preferences for comprehensive personal preference learning. Neural Networks, 193, 108028.
2025
Zhao, J., Chen, J., Wu, J., Tan, L., Liang, P., & See-To, E. W. K. (2025). Feature selection via Class-specific Approximate Markov Blanket and Rough Set-based Mapping. Applied Soft Computing, 176, 113154.
2025
Zhao, J., Chen, J., Wu, J., Tan, L., Liang, P., & See-To, E. W. K. (2025). Feature selection via Class-specific Approximate Markov Blanket and Rough Set-based Mapping. Applied Soft Computing, 176, 113154.
2025
Yang, C., Fang, J., Wang, C., Fan, Z., See-To, E. W. K., & Niu, B. (2025). Enhancing mobile app recommendations through adaptive fusion of long-term stability and short-term interests. Information Sciences, 699, 121817.
2025
Yang, C., Fang, J., Wang, C., Fan, Z., See-To, E. W. K., & Niu, B. (2025). Enhancing mobile app recommendations through adaptive fusion of long-term stability and short-term interests. Information Sciences, 699, 121817.
