本人研究方向为：数据挖掘、机器学习、数据分析、企业管理、科技型企业信用风险等

[1] Fang Da, Gang Kou, Yi Peng*. Deep learning based dual encoder retrieval model for citation  recommendation. Technological Forecasting & Social Change, 2022. (SSCI 期刊 Q1 Top, ABS 三星期刊， IF：8.593). 

[2] Fang Da, Gang Kou, Yi Peng*. Non-financial indicators for credit risk analysis of Chinese technology -oriented micro and small enterprises. Journal of the Operational Research Society, 2022. (SCI/SSCI 期刊 JCR Q2/Q3，ABS 三星期刊，IF：2.860). 

[3] Fang Da, Chao Peng, Haomin Wang, Tie Li*. A risk detection framework of Chinese high-tech  corporates using wide & deep learning model involving business-related text. Procedia Computer Science， (ITQM 2020&2021).(EI) [4] Chao Peng, Fang Da, et al. China’s local government debt risk assessment and countermeasures under  the influence of COVID-19, Procedia Computer Science, Volume 199, 2022. (EI) 

[5] Haomin Wang, Wei Chen, Fang Da, Zhima Credit Score in Default Prediction for Personal Loans, Procedia Computer Science, Volume 199, 2022. (EI) [6] 达芳, 方勇*. 非平稳信道下极化码的评估，现代电子技术，2017.（北大核心） 

刘开昌，陈仁司，陈绿聪，达芳,方阵，冯立涛. 福州大学. 一种新型学生用床铺（专利）. 2014. ZL  2014 1 0248724.8.