Educational Qualifications

2014                    
PhD, Industrial Systems Engineering and Management, National University of Singapore

2008                    
MSc, Management Information Systems, Beijing University of Aeronautics and Astronautics

2006                    
BSc, Information Management & Information Systems, Hunan University


Academic and Professional Experience

2026 - present      
Associate Professor, Singapore University of Social Sciences

2019 - 2025          
Senior Lecturer, Singapore University of Social Sciences

2017 - 2019          
Director, Revenue Management Solutions, Singapore

2013 - 2017          
Business Analytics Manager, Procter & Gamble, Singapore

2008 - 2012          
Research Scholar, National University of Singapore, Singapore


Awards and Honours

  • 2025 SUSS Excellence in Teaching Award (ETA)
  • SUSS ARC Grant - MOE Start-Up Fund (2022-2024), $20k
    Title: Is All-Win Possible? A Novel Recommendation System for Music NFT Platform
  • SUSS ARC Grant - MOE Start-Up Fund (2023-2024), $19.84k
    Title: Free-to-Play or Play-to-Earn? Understanding GameFi's Mass Players and Market using Text Analytics.

Selected Publications

Journal Papers:

  • Xiao, P., Wang, Y., Liu, W., & Ye, Z. S. (2025). Remaining useful life prediction based on forward intensity. Technometrics, 67(2), 238–253. (ABDC ranking: A; Q1; Scopus indexed; CiteScore 4.5, IF 2.5; WoS SCIE indexed)
  • Zhang, T., Chen, J., Ye, Z., Liu, W., & Tang, J. (2025). Prior knowledge-informed multi-task dynamic learning for few-shot machinery fault diagnosis. Expert Systems with Applications, 124, 349. https://doi.org/10.1016/j.eswa.2025.126439 (Q1; Scopus indexed; CiteScore 15, IF 7.5; WoS SCIE indexed)
  • Guan, C., Liu, W., Cheng, Y. C., & Heng, B. (2025). Mining digital ad contents: Finding the sweet spot of authenticity via personality profiling. Journal of Current Issues & Research in Advertising, 1–23. (ABDC ranking: B; Q1; Scopus indexed; CiteScore 2.9, IF 3.2; ESCI indexed)
  • Zhang, T., Chen, J., Ye, Z., Liu, W., & Tang, J. (2025). Self-supervised contrastive learning with scale-sensitive receptive fields for machine fault diagnosis under sharp speed variation. Measurement Science and Technology, 36(7), 076102. (Q2; Scopus indexed; CiteScore 4.4, IF 3.4; SCI indexed)
  • Mou, J., Liu, W., Guan, C., Westland, J. C., & Kim, J. (2024). Predicting the cryptocurrency market using social media metrics and search trends during COVID-19. Electronic Commerce Research, 1–27. (ABDC ranking: A; Q1; Scopus indexed; CiteScore 10.1, IF 4.7; WoS SSCI indexed)
  • Guan, C., Liu, W., Yu, Y., & Ding, D. (2024). Tokenomics in the metaverse: Understanding the lead–lag effect among emerging crypto tokens. Financial Innovation, 10(1), 88. (Q1; Scopus indexed; CiteScore 12.9, IF 7.2; WoS SSCI indexed)
  • Li, Y., Yang, Z., Zhang, S., & Liu, W. (2024). A study of the capacitated vehicle routing problem with time-window and three-dimensional loading constraints in land–sea transport. Sustainability, 16(23), 10272. https://doi.org/10.3390/su162310272 (Q1; Scopus indexed; CiteScore 7.7, IF 3.2; WoS SCIE indexed)
  • Zhang, Y., Ren, J., Liu, W., & Ding, D. (2024). Application of text mining analysis in understanding GameFi adoption. International Journal of Data Analysis Techniques and Strategies. Advance online publication. https://doi.org/10.1504/IJDATS.2025.10064876 (Q3; Scopus indexed; IF 1.65)
  • Lin, H., Wu, S., Zhang, S., & Liu, W. (2023). Design of reverse network for recyclable packaging boxes under uncertainties. Sustainability, 15(15), 11781. https://doi.org/10.3390/su151511781 (Q1; Scopus indexed; CiteScore 7.7, IF 3.2; WoS SCIE indexed)
  • Guan, C., Hung, Y., & Liu, W. (2022). Cultural differences in hospitality service evaluations: Mining insights of user generated content. Electronic Markets. https://doi.org/10.1007/s12525-022-00545-z (ABDC ranking: A; Q1; Scopus indexed; CiteScore 8.9, IF 6.8; WoS SSCI indexed)
  • Guan, C., Liu, W., & Cheng, Y.-C. J. (2022). Using social media to predict the stock market crash and rebound amid the pandemic: The digital “haves” and “have-mores.” Annals of Data Science, 9(5), 31. https://doi.org/10.1007/s40745-021-00353-w (Q1; Scopus indexed; CiteScore 3.3; WoS SSCI indexed)
  • Ding, D., Guan, C., Chan, C., & Liu, W. (2020). Building stock market resilience through digital transformation: Using Google Trends to analyze the impact of COVID-19 pandemic. Frontiers of Business Research in China, 14(21), 1–21. (Q3; Scopus indexed; CiteScore 1.4, 5-year Impact Factor: 2; ESCI indexed)

 

Working paper

  • Liu, W. et al. (2025) Trust, anticipation, and the ChatGPT hype: Longitudinal emotion trajectories and topic drivers on Twitter [Targeted for submission to Technological Forecasting & Social Change; ABDC: A; SJR: Q1; IF: 13.9].
  • Höschle, L., Rosero Asqui, G., & Liu, W. (2025). Evaluating consumer perceptions of Quito’s municipal markets: An aspect-based sentiment analysis [Targeted for submission to European Review of Agricultural Economics; ABDC: A; SJR: Q1; IF: 3.8].

 

Books/Book Chapters

  • Liu Wenting (2025). Cryptocurrency Market Analysis and Management. In Blockchain, Crypto Assets, and Financial Innovation (Springer Nature). eBook ISBN: 978-981-96-6839-7 | Print ISBN: 978-981-96-6838-0
  • Liu Wenting (2021). Digital Payment, in Lee David Kuo Chuen, Ding Ding & Guan Chong. (Eds). Financial Management in the Digital Economy (Singapore University of Social Sciences - World Scientific Future Economy Series). vol. 6, World Scientific Publishing.

 

Conference Papers

  • Wang, W. J., Wu, C. K., Liu, W., Hung, Y. C., Ren, J., & Horng, J. T. (2023). Public Sentiment Toward ChatGPT on Social Media X: An Evidence of Mixed Emotions. 34th Australasian Conference on Information Systems, Wellington, New Zealand, Dec 5-8.
  • Chang, H. and Liu, W. (2023). Balancing Short-Term Earnings Pressure with Long-Term Socially Responsible Behavior: An Examination of Managerial Cognitive Biases. 15th CEA (Europe) and 34th CEA (UK) 2023 Annual Conference, Gottingen, Germany, Jul 14-16.
  • Hung Y., Ding D., Liu W., Guan C. (2022). Overjoyed by Customised Service? The Role Of Individualism. Australian & New Zealand Marketing Academy (ANZMAC) 2022, Perth, Australia, Dec 4-8.
  • Liu, W., Cheng, J. and Hung YC. (2022). IP & AI for Inclusion. International Conference on Advancement of Business Ethics and Corporate Social Responsibility, Taoyuan, Taiwan, Oct 27-28.
  • Ren J., Zhang Y., Liu W., Lo S. (2022). Is All-Win Possible? A Novel Recommendation System for Music NFT Platform. The 22nd International Conference on Electronic Business (ICEB) 2022, Bangkok, Thailand, Oct 13-17.
  • Guan, C., Liu, W., Cheng, J. and Heng, B. (2022). Using A Personality-profiling To Investigate Online Retail Targeting: Mining The Digital Ad Contents, Proceedings of the Colloquium on European Research in Retailing (CERR) 2022, Zagreb, Croatia (ISBN978-953-346-184-7), Sep 8-10.
  • Mou, J., Guan, C., & Liu, W. (2021). Predicting Cryptocurrency Market Using Social Media Sentiments and Search Trends during Covid-19. The 22nd International Conference on Electronic Commerce (ICEC 2021), Chengdu, China.
  • Xiao T., Guan C. & Liu W. (2019). Marketing Strategy of Organic Agricultural Products on E-Commerce Platforms, Proceedings of ICEB 2019
  • Liu W., Chai Kah-Hin (2010).  Identifying and measuring Reach and Richness: Toward a knowledge  sharing mechanism selection model. Portland International Conference on Management of Engineering and Technology 2010, Phuket, Thailand

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