Pingfan Wang

Lecturer

School: Computer Science

Email Pingfan

Key Publications

Please visit the Pure Research Information Portal for further information
Quantifying the effect of Behaviour Self-regulation on well-being through causal analysis: A methodological framework for longitudinal health data, Wang, J., Wang, P., Woo, W., Sakalidis, K., Hettinga, F., Rodrigues, A., Dawes, H., Tempest, G. 1 Feb 2026, In: Journal of Biomedical Informatics
Data-Driven Study of UK Terrorism: A K-prototypes Clustering Analysis of the UK's Terrorist Incidents, Lazzeretti, Y., Wang, P., Wang, J., Woo, W. 31 Jan 2025, ICISS '24: Proceedings of the 2024 7th International Conference on Information Science and Systems, New York, United States, ACM
Efficient Concept Drift Detection: A Meta Feature Selection Approach, Liu, Z., Wang, P., Jin, N. 31 Jan 2025, ICISS '24: Proceedings of the 2024 7th International Conference on Information Science and Systems, New York, United States, ACM
Explainable AI-Driven Causal Analysis and Interpretability in Environmental Sustainability and Energy Security: A UK Case Study, Oresotu, O., Wang, P., Wang, J., Woo, W. 31 Jan 2025, ICISS '24: Proceedings of the 2024 7th International Conference on Information Science and Systems, New York, United States, ACM
A novel ChatGPT-based multimodel framework for tourism review mining: a case study on China’s five sacred mountains, Cheng, X., Chen, Y., Wang, P., Zhou, Y., Wei, X., Luo, W., Duan, Q. 5 Aug 2024, In: Journal of Hospitality and Tourism Technology
QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams, Wang, P., Yu, H., Jin, N., Davies, D., Woo, W. 15 Mar 2024, In: Expert Systems with Applications
Model-centric transfer learning framework for concept drift detection, Wang, P., Jin, N., Davies, D., Woo, W. 5 Sep 2023, In: Knowledge-Based Systems