Chengxin Zhang

Chengxin

Chengxin Zhang

Doctoral Researcher

Email: [email protected]

Chengxin is a doctoral researcher in Computer Science at the University of Eastern Finland. Her research interests include virtual patients, multimodal learning, natural language processing, and social network analysis. During her master’s studies, she gained research experience in online social networks, with a particular focus on rumor detection, modeling rumor diffusion dynamics, and predicting rumor diffusion trends. Her current doctoral research focuses on analyzing medical students’ clinical reasoning processes within virtual patient platform, aiming to enhance learning efficiency and improve the overall quality of medical education.

See me at: LinkedIn

Publications

  1. Zhang, C., Wang, L., Lin, Y., & Wang, X. (2024). PLP-SSAF: Improved Online Rumor Detection Combining Propagation Link Prediction and Semantic-Structure Adaptive Fusion. IEEE Transactions on Computational Social Systems, 12(5), 2171-2185.
  2. Zhang, C., Lin, Y., Wang, X., & Hao, Y. (2023). A trend prediction method for misinformation spreading with time delay effect. IEEJ Transactions on Electrical and Electronic Engineering, 18(9), 1459-1471.
  3. Zhang, C., Wang, X., Lin, Y., & Hao, Y. (2022, November). The impact of time delay and user’s behavior on the dissemination process of rumor in mobile social networks. In China Conference on Wireless Sensor Networks (pp. 154-161). Singapore: Springer Nature Singapore.
  4. Hao, Y., Wang, X., Lin, Y., & Zhang, C. (2022, November). Dynamics Modeling of Knowledge Dissemination Process in Online Social Networks. In China Conference on Wireless Sensor Networks (pp. 145-153). Singapore: Springer Nature Singapore.