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英文期刊論文：
1. Yeung-Ja Goo, Der-Jang Chi, and Zong-De Shen* (2016). Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques, Springer Plus, 5(1), 1-18. (SCI)
2. Suduan Chen, Zone-De Shen* and Yeong-Jia Goo (2014). A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements , The Scientific World Journal, vol. 2014, Article ID 968712. (SCIE)
3. Mushang Lee, Der-Jang Chi and Zone-De Shen*, (2010). Applying the Hybrid Rough Set Theory and Support Vector Machine in Credit Rating- Consideration of Intellectual Capital Indicator, ICIC Express Letters- An International Journal of Research and Surveys (ICIC-EL), Vol. 4, No. 6A, Page 2255-2260. (EI)
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