数字引领时代  智能开创未来

张妍(ZHANG Yan)

讲师电话:
 电子邮件:yanzhang@suibe.edu.cn

教育背景

博士(统计学),2021-2025,厦门大学
硕士(应用统计),2019-2021,中央财经大学
学士(数学与应用数学),2015-2019,北京邮电大学


研究领域

网络结构数据分析、模型平均


简介

上海对外经贸大学统计与数据科学学院讲师。科研成果发表在Journal of Computational and Graphical Statistics、Computational Statistics等期刊,参加编著《网络结构数据分析与应用》。

 

部分发表论文(*指代通讯作者)

  1. Zhang, Y., Pan, R.*, Wang, F., Fang, K.*, & Wang, H. (2025). Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies. Computational Statistics. (accepted)

  2. Liu, K., Zhang, Y.*, Pan, R.*, Gao, T., & Wang, H. (2025). Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models. Scientometrics. (accepted)

  3. Zhang, Y., Pan, R.*, Zhu, X., Fang, K.*, & Wang, H. (2024). A latent space model for weighted keyword co-occurrence networks with applications in knowledge discovery in statistics. Journal of Computational and Graphical Statistics, 34(3), 779–794.

  4. 高天辰, 张妍, 潘蕊*. (2024). 统计学科大规模多层学术网络数据集——网络构建、描述分析与实际应用. 经济管理学刊, 3(4), 1-20.

  5. Zhang, Y., Pan, R.*, Wang, H., & Su, H. (2023). Community detection in attributed collaboration network for statisticians. Stat, 12(1), e507.

  6. Ding, Y., Pan, R.*, Zhang, Y., & Zhang, B.* (2023). A matrix completion bootstrap method for estimating scale-free network degree distribution. Knowledge-Based Systems, 277, 110803.

  7. 张妍, 潘蕊*, 方匡南. (2023). 基于合作者网络社区发现的学科主题分析——以国际统计学期刊为例. 经济管理学刊, 2(2), 219-240.【被人大复印报刊资料《统计与精算》2023年第6期全文转载】

  8. Song, X., Zhang, Y.*, Pan, R.*, & Wang, H. (2022). Link prediction for statistical collaboration networks incorporating institutes and research interests. IEEE Access, 10, 104954-104965.

  9. Gao, T., Zhang, Y., Wang, S., Yang, Y., & Pan, R.* (2021). Community detection for statistical citation network by D-SCORE. Statistics and its Interface, 14(3), 279-294.

  10. Wang, X., Zhang, Y., Geng, Z., Liu, Y., Guo, L., & Xiao, G.* (2019). Spatial analysis of heavy metals in meat products in China during 2015–2017. Food Control, 104, 174-180.


专著教材

  1. 潘蕊、张妍、高天辰.《网络结构数据分析与应用》,北京大学出版社,2022,北京