Dr Wang Zhiyuan

Selected Publications

Journal Papers

• Ding, D., Li, Y., Neo, P. L., Wang, Z. *, & Xia, C. (2026). Dynamic Multi-Criteria Portfolio Selection Integrating Transformer-Based Financial Forecasting with Peer-Prediction Trees. Mathematics, 14(13), 2287. (Scopus Q1; SCImago Q2; JCR Q1)
• Wang, Z.*, Lim, T., Teng, Y., & Xia, C. (2026). A Data-Driven Machine Learning Framework for Multi-Criteria ESG Evaluation. Big Data and Cognitive Computing, 10(5), 130. (Scopus Q1; SCImago Q1; JCR Q1)
• Lim, T., Wang, Z., & Teng, Y. (2026). ESG-XAI: An explainable unsupervised feature selection pipeline for ESG datasets. Data Science in Finance and Economics, 6(2), 277–314. (Scopus Q1; SCImago Q2; JCR Q1)
• Shi, J., Wang, Z.*, Ding, D., Wang, Y., Xia, C., Ding, Q., & Lim, T. (2026). Who Gets the Flows? AI-Based Brand Visibility, Social Media Sentiment, and Capital Allocation in the US Spot Bitcoin ETF Market. Mathematics, 14(11), 1959. (Scopus Q1; SCImago Q2; JCR Q1)
• Ding, D., Li, Y., Neo, P. L., Wang, Z., & Xia, C. (2026). Network Effects and Boom–Bust Dynamics in NFT Prices. FinTech, 5(2), 36. (Scopus Q1; SCImago Q1; JCR Q1)
• Wang, Z.*, Ding, Q., Ding, D.*, Zhu, S., Ren, J., Wang, Y., & Tan, C. H. (2026). Reinforcement Learning-Guided NSGA-II Enhanced with Gray Relational Coefficient for Multi-Objective Optimization: Application to NASDAQ Portfolio Optimization. Mathematics, 14(2), 296. (Scopus Q1; SCImago Q2; JCR Q1)
• Ding, D., Li, Y., Neo, P. L., Wang, Z.*, & Xia, C. (2025). Subjective-objective median-based importance technique (SOMIT) to aid multi-criteria renewable energy evaluation. Applied Energy, 402, 126872. (ABDC A; Scopus Q1; SCImago Q1; JCR Q1)
• Wang, Z., Baydaş, M.*, Stević, Ž.*, Özçil, A., Irfan, S. A., Wu, Z., & Rangaiah, G. P. (2023). Comparison of fuzzy and crisp decision matrices: An evaluation on PROBID and sPROBID multi-criteria decision-making methods. Demonstratio Mathematica, 56(1), 20230117. (Scopus Q1; SCImago Q2; JCR Q1)
• Park, M., Wang, Z., Li, L., & Wang, X.* (2023). Multi-objective building energy system optimization considering EV infrastructure. Applied Energy, 332, 120504. (ABDC A; Scopus Q1; SCImago Q1; JCR Q1)
• Wang, Z., Li, J., Rangaiah, G. P.*, & Wu, Z.* (2022). Machine learning aided multi-objective optimization and multi-criteria decision making: Framework and two applications in chemical engineering. Computers & Chemical Engineering, 165, 107945. (Scopus Q1; SCImago Q1; JCR Q2)
• Wang, Z., Rangaiah, G. P.*, & Wang, X. (2021). Preference ranking on the basis of ideal-average distance method for multi-criteria decision-making. Industrial & Engineering Chemistry Research, 60(30), 11216-11230. (Scopus Q1; SCImago Q1; JCR Q2)
• Wang, Z., & Rangaiah, G. P.* (2017). Application and analysis of methods for selecting an optimal solution from the Pareto-optimal front obtained by multiobjective optimization. Industrial & Engineering Chemistry Research, 56(2), 560-574. (Scopus Q1; SCImago Q1; JCR Q2)

* indicates corresponding author

Book Chapters

• Baydaş, M., Özçil, A., Stević, Ž., & Wang, Z. (2026). A hybrid IVN-CODAS model for ranking electric hatchback cars: Application with extensive weight sensitivity analysis. In Ž. Stević, O. Prentkovskis, M. Kostadinović, & A. Danilevičius (Eds.), New Horizons of Transport and Communications 2025 (Lecture Notes in Intelligent Transportation and Infrastructure). Springer.
• Wang, Z., Nabavi, S. R., & Rangaiah, G. P. (2023). Selected multi-criteria decision-making methods and their applications to product and system design. In A. J. Kulkarni (Ed.), Optimization methods for product and system design (Engineering Optimization: Methods and Applications). Springer.

Authored Books

• Wang, Z., & Rangaiah, G. P. (2026). Multi-Criteria Decision-Making Principles, Methods and Programs. CRC Press (Taylor & Francis Group). ISBN: 9781032853635
• Wang, Z., Irfan, S. A., Teoh, C., & Bhoyar, P. H. (2023). Numerical Machine Learning. Singapore: Bentham Science Publishers. ISBN: 9789815136982

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