Associate Professor Yu Yinghui

Selected Publications

Journal Papers:

• Wang, Z., Lim, T., Baydas, M., Stevic, Z., Yu, Y., & Liu, V. (2026) A Machine Learning Approach to Multi-Criteria Decision-Making via Peer-Prediction Trees and Excess Performance Evaluation. Algorithms, 19(9), 762. (Scopus Q1; Cite Score=5.4, IF 2.6) https://doi.org/10.3390/a19090762
• Ding, D., Wang, Y., Shi, J., & Yu, Y. (2026). The Evolution of Sustainable Finance: Innovations, Policies, and Global Cooperation for Financial System Transformation. Financial Innovation, 12 (105)  (Scopus Q1; Cite Score=12.9, IF 7.2; WoS SSCI indexed) https://doi.org/10.1186/s40854-026-00925-w
• Ding, Q., Guan, C., & Yu, Y. (2026). Mood in the Market: Forecasting IPO Activity with Music Sentiment and LSTM. FinTech, 5(1), 12. (Scopus Q1; Cite Score=6.2; SCImago Q2) https://doi.org/10.3390/fintech5010012
• Zeng, J. Q., Ding, D., Guan, C., & Yu, Y. (2025). The Cognitive and Social Drivers of Neobank Success: Unveiling the Power of Ease of Use, Usefulness, and Social Influence.  Journal of Economics, Business and Management, Vol13(4), page 359-365. https://doi.org/10.18178/joebm.2025.13.4.892
• Lee, D.K.C., Guan, C., Yu, Y., & Ding, Q.(2024). A Comprehensive Review of Generative AI in Finance. FinTech, 3(3), page 460-478. (Scopus Q1; Cite Score=6.2; SCImago Q2) https://doi.org/10.3390/fintech3030025
• 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, 88. https://doi.org/10.1186/s40854-023-00594-z
• Chang, E. C., Cheng, J.W., Pinegar, J.M., & Yu, Y. (2012). Short-sale constraints: Reductions in costs of capital or overvaluation? Evidence from Hong Kong. Pacific-Basin Finance Journal, 20(3), page 506-520. (Scopus Q1; Cite Score=7.4; SCImago Q1)
• Chang, E. C., Cheng, J.W., & Yu, Y. (2007). Short-sale constraints and Price Discovery: Evidence from the Hong Kong market. Journal of Finance, 62(5), page 2097-2121. (Scopus Q1; Cite Score=16.8; SCImago Q1)

Book Chapters:

• Guan, C., Ding, Q., & Yu, Y. (forthcoming). From Melodies to Markets: Leveraging LSTM for Music-Driven Predictions in NFT Trading Dynamics. Book chapter for Encyclopedia of Modern Artificial Intelligence. IGI Global Scientific Publishing.
• Guan, C., Shi, J., Yu, Y., & Zhu, S. (2026). Agentic IoT for Urban Renewable Energy: A Conceptual Framework for Smart Cities. Book Chapter for  Renewable Energy Systems for Smart Cities and Urban Sustainability, IGI Global Scientific Publishing.
• Guan, C., Yu. Y., Ren, J., & Ding, D. (2025). From Chart to Chart: Analyzing Lyric Content in Music Streaming Charts for Predicting Stock Prices Using LSTM, Machine Learning and Modeling Techniques in Financial Data Science, 295-320.
• Fang, Z., Chang, Y. H., & Yu, Y. (2024). Green Finance in China: Development and Impact Analysis, Green Finance and Sustainable Development Goals, WORLD SCIENTIFIC (EUROPE)

Conference presentations:

• Cao, J., Tay, D., & Yu, Y. (2026). The Gendered Paradox of Empowering Leadership in AI-Intensive Work: Anxiety, Augmentation and Engagement. The 15th International Conference on Information Communication and Management (ICICM 2026), Nov 2026.
• Guan, C., Yu, Y., Ren, J., and Ding, D. (2024). Money in the Songs: Analyzing Lyric Content in Music Streaming Charts for Predicting Stock Prices. In the 11th Conference on Asia and Pacific Economies (CAPE), Suzhou, China. May 2024.