个人信息：

姓名：闭丹

专业：管理科学与工程

学号：4118008019

班级：博1845

导师：郭菊娥

学位论文题目：

  基于深度学习的非常规油气违规事故识别、评估、执行决策研究

学位申请成果目录：

[1] Bi, D., & Guo, J. E. (2022). Introducing attentive neural networks into unconventional oil and gas violation analysis and emergency response system. [J] Expert Systems with Applications, 210, 118352.（AJG（2021版）2区、1区中的SCI/SSC；户外直播 C类期刊，序号：918；户外直播 研究生院认定的最有国际影响力学术期刊，序号：73）

[2] Bi, D., Guo, J. E., Zhao, E., Sun, S., & Wang, S. (2022). Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports. [J] Environmental Science and Pollution Research, 1-15. （SCI，JCR Q1分区，影响因子：5.8）

[3] Bi, D., Guo, J. E., Zhao, E., Sun, S., & Wang, S. (2023). Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports. [J] Environmental Development, 100905. （SCI，JCR Q2分区，影响因子：5.4）

[4] Xing, G., Sun, S., Bi, D., Guo, J. E., & Wang, S. (2022). Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach. [J] International Journal of Tourism Research, 24(3), 425-442.（AJG（2021版）2区、1区中的SCI/SSCI期刊；户外直播 C类期刊，序号：1012；户外直播 研究生院认定的国际知名学术刊物，序号：283）

[5] Liu, M., Guo, J. E., & Bi, D. (2023). Comparison of administrative and regulatory green technologies development between China and the US based on patent analysis. [J] Data Science and Management, 6(1), 34-45.

公示时间：2023年10月27日