1 Measuring Systemic Importance of Banks Considering Risk Interactions: An ANOVA-Like Decomposition Method. Journal of Management Science and Engineering, DOI: https://doi.org/10.1016/j.jmse.2019.12.001.
2 How to Design Rating Schemes of Risk Matrices: A Sequential Updating Approach. Risk Analysis, 2018,38(1): 99-117.
3 A knowledge-based risk measure from a fuzzy multi-criteria decision-making perspective.IEEE Transactions on Fuzzy Systems, online, 2019,27(5):1126-1138.
4 Aggregating risk matrices under a normative framework. Journal of Risk Research. DOI: 10.1080/13669877.2019.1588912.
5 A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations. International Journal of Information Technology and Decision Making, 2019,18 (1):339-364.
6 A fuzzy mapping framework for risk aggregation based on risk matrices. Journal of Risk Research, 2018,21(5):539-561.
7 Who are the international research collaboration partners for China? A novel data perspective based on NSFC grants. Scientometrics,2018, 116: 401–422.
8 A multi-objective optimization method considering the correlation of process risks for project risk response planning. Information Sciences,2018, 467: 282-295.
9 Comparison of Different Methods to Design Risk Matrices from The Perspective of Applicability. Procedia Computer Science, 2017,122:455-462.
10 Case-based reasoning with optimized weight derived by particle swarm optimization for software effort estimation. Soft Computing, 2017,22: 5299–5310.
11 Optimization of Integrated Risk in Commercial Banking based on Financial Statements. Procedia Computer Science, 2014,31:501-510.