Wang Jue is a professor and supervisor at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. She has been included in the "National High-level Talents Special Support Plan" as a leading figure in philosophy and social science, cultural luminary, and "Four Groups of Talents". She currently serves as the deputy director of the Center of Forecasting Science, the vice president of the Continuing Education School of the University of Chinese Academy of Sciences, the deputy director of the Economic Prediction Lab of the Institute of Systems Science of the Chinese Academy of Sciences, and a member of the Haidian District Political Consultative Conference in Beijing. She has also been a visiting scholar at Monash University in Australia and North Carolina State University in the United States, as well as a senior researcher at City University of Hong Kong. She concurrently serves as an executive director of the Chinese Society for Systems Engineering, the deputy secretary-general of the Management and Decision-making Committee of the Chinese Association for Modern Management Science, and an executive director of the Economic Security Branch of the Chinese Association for Quantitative Economics. She serves as an executive editor or editorial board member of 12 well-known domestic and international journals. She has published over 100 papers in international top journals and domestic core journals. He has presided over and participated in more than 30 projects funded by the National Natural Science Foundation of China, including general projects, major projects, emergency management projects, and key projects of the Knowledge Innovation Program of the Chinese Academy of Sciences.
Research Areas
Publications
[1] Jue Wang, Zhen Wang, Hao Zhou, Tao Hong, Artificial Bee Colony-based Combination Approach to Forecasting Agricultural Commodity Price, International Journal of Forecasting, No.38, pp. 21-34, 2022. ( SCI&SSCI)
[2] Jue Wang, Hao Zhou, Tao Hong, Xiang Li, Shouyang Wang, A multi-granularity heterogeneous combination approach to crude oil price forecasting, Energy Economics, 91（104790）, 2020. (SCI&SSCI)
[3] Jue Wang, Xiang Li, Tao Hong, Shouyang Wang, A Semi-heterogeneous Approach to Combining Crude Oil Price Forecasts, Information Sciences, Vol.460–461, pp. 279–292, 2018. (SCI)
[4] Xiaoyang Zhou, Jue Wang, Xiangping Yang, Benjamin Lev, Yan Tu, Shouyang Wang. Portfolio Selection with Value at Risk Constraint under Different Attitudes in Fuzzy Environment, Information Sciences, Vol.462, pp. 278-289, 2018. （SCI）
[5] Jue Wang, George Athanasopoulos, Rob Hyndman, Shouyang Wang. Crude Oil Price Forecasting Based on Internet Concern Using an Extreme Learning Machine, International Journal of Forecasting, No.34, pp.665–677, 2018. (SCI&SSCI))
[6] Weifeng Gao, Jue Wang, Shouyang Wang, Artificial Bee Colony Algorithm Based on Novel Mechanism for Fuzzy Portfolio Selection, IEEE Transaction on Fuzzy Systems, Vol.27, No.5, pp.966-978, 2018. (SCI)
[7] Qi Zhang, Jue Wang, Aiguo Lu, Shouyang Wang, Jian Ma, An Improved SMO Algorithm for Financial Credit Risk Assessment–Evidence from China's Banking, Neurocomputing, Vol. 272, pp.314-325, 2018. (SCI)
[8] Jue Wang, Xiang Li, A Combined Neural Network Model for Commodity Price Forecasting with SSA. Soft Computing, No.46, pp.1-11, 2018. (SCI)
[9] WeiFeng Gao, Lingling Huang, Jue Wang, Enhanced Artificial Bee Colony Algorithm Through Differential Evolution, Applied Soft Computing, No.48, pp. 137-150, 2016. （SCI）
[10] Jue Wang, Wei Xu, Jian Ma, Shouyang Wang, A Vague Set Based Decision Support Approach for Evaluating Research Funding Programs, European Journal of Operational Research , Vol. 230, pp. 656-665, 2013. (SCI)
[11] HailongYang, ShouyangWang, Jue Wang, Fuzzy Probabilistic Rough Set Model on Two Universes and Its Applications, International Journal of Approximate Reasoning, Vol. 54, pp.1410-1420, 2013. (SCI)
[12] Jue Wang, Shouyang Wang, Jian Ma, Rough Set and Scatter Search Based Feature Selection for Credit Scoring, Experts Systems with Applications, Vol. 39, No.6, pp.6123-6128, 2012. (SCI)
[13] HailongYang, Shouyang Wang, Jue Wang, Bipolar Fuzzy Rough Set Model on Two Different Universes and Its Application, Knowledge-Based Systems, Vol. 35, No. 11. pp. 94–101, 2012. (SCI)
[14] Abdel-Rahman Hedar, Jue Wang, Masao Fukushima, Tabu Search for Attribute Reduction in Rough Set Theory, Soft Computing, Vol.12, No.9, pp. 909-918, 2008. ( SCI)
[15] Jue Wang, Sanyang Liu, Shouyang Wang, On the Parameterized OWA Operators for Fuzzy MCDM Based on Vague Set Theory, Fuzzy Optimization and Decision Making, Vol. 5, No.1, pp.5-22, 2007. (SCI)
[16] ZhiLi Guo, HaiLong Yang, Jue Wang, Rough Set Over Dual-universes in Intuitionistic Fuzzy Approximation Space and Its Application, Journal of Intelligent & Fuzzy Systems, Vol.28, No.1, pp.169-178, 2015. (SCI)
[17] Jue Wang, Qi Zhang, Abdel-Rahman Hedar, Abdel-Monem M. Ibrahimc, A Rough Set Approach to Feature Selection Based on Scatter Search Meta-heuristic, Journal of Systems Science and Complexity, Vol.27, No.1, pp.157–168, 2014. ( SCI)
[18] Xiaofeng Xu, Yuping Sun, Jue Wang, Multi-task Transportation Scheduling Model with Backhauls Based on Hub and Spoke in Collaborative Logistics Network, Journal of Ambient Intelligence and Humanized Computing, Accepted, 2018. ( SCI)
[19] Jue Wang, Sanyang Liu, Jie Zhang, An Extension of TOPSIS for Fuzzy MCDM Based on Vague Set Theory, Journal of Systems Science and Systems Engineering, Vol. 14, No. 1, pp.73-84, 2005. (SCI-E, EI）
[20] Jue Wang, Kun Guo, Shouyang Wang., Rough Set and Tabu Search Based feature Selection for Credit Scoring, Procedia Computer Science, Vol.1, No.1, pp. 2425-2432, 2010. (EI)
[21] Wei Xu, Jue Wang, Xun Zhang, Wen Zhang, Shouyang Wang, A New Hybrid Approach for Analysis of Long-run Factors Affecting Crude Oil Price, Lecture Notes in Computer Science, Vol.4489, pp. 964-971, 2007. (EI)
[22] Jue Wang, Sanyang Liu, Jie Zhang, Roughness of A Vague Set, International Journal of Computational Cognition, Vol.3, No.3, pp. 82-86, 2005. (EI)
[23] Jie Zhang, Guisheng Liao, Jue Wang, Robust Direction Finding for Cyclostationary Signals with Cycle Frequency Error, Signal Processing, Vol.85, No.12, pp. 2386 - 2393, 2005. (SCI, IF:3.11)
[24] Jie Zhang, Guisheng Liao, Jue Wang, Efficient Frequency Offset Resolution for OFDM Systems Based on ML Principle, IEEE Transactions on Consumer Electronics, Vol. 50, pp. 799-806, 2004. (SCI, IF: 1.694)
[25] Jue Wang, Sanyang Liu, Jie Zhang, A New Score Function for fuzzy MCDM Based on Vague Set Theory, International Journal of Computational Cognition, Vol. 4, No. 1, pp.44-48, 2006.