Shujun Li

Shujun Li is affiliated with the University of Kent in the United Kingdom and has a body of work spanning across multiple fields within computer science. The primary field of study encompasses computer science with a significant focus on subfields such as artificial intelligence, information systems, sociology and political science, computer vision and pattern recognition, and signal processing.

The scientist's research covers a range of topics that include privacy, security, and data protection; hate speech and cyberbullying detection; advanced malware detection techniques; information and cyber security; misinformation and its impacts; privacy-preserving technologies in data; and spam and phishing detection.

Shujun Li has coauthored papers frequently with several collaborators, including Haiyue Yuan, Jason R. C. Nurse, Weidong Qiu, Enes Altuncu, and Keenan Jones. Their collective work has been published in multiple venues, with notable frequent publication hotspots being arXiv (Cornell University), SSRN Electronic Journal, Journal of Physics Conference Series, IEEE Transactions on Dependable and Secure Computing, and Proceedings of the ACM on Human-Computer Interaction.

Recent papers by Shujun Li include:

• Empathy alleviates the learning burnout of medical college students through enhancing resilience, 2022, BMC Medical Education
• A systematic literature review of the tension between the GDPR and public blockchain systems, 2023, Blockchain Research and Applications
• Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis, 2021, PLoS ONE
• AnoFed: Adaptive anomaly detection for digital health using transformer-based federated learning and support vector data description, 2023, Engineering Applications of Artificial Intelligence
• A Survey of User Perspectives on Security and Privacy in a Home Networking Environment, 2022, ACM Computing Surveys

In addition to journal articles, Shujun Li has been involved in the publication of several books through respected publishers. These include works published by Springer Science+Business Media, such as Computer Security (2020), Information and Communications Security (2022), and Security and Privacy in Social Networks and Big Data (2023). Additionally, the scientist has contributed to books published by Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, particularly Security and Privacy in Communication Networks (2021) with multiple editions, and a publication with Springer Nature titled Cognitive Modeling for Automated Human Performance Evaluation at Scale (2020).