To extend the DISEE model for accurate prediction of future citation patterns, we can incorporate additional features and techniques. One approach is to integrate node features such as author reputation, journal impact factor, or keyword relevance into the model. By considering these factors along with temporal dynamics captured by the impact function, we can enhance the predictive power of DISEE. Additionally, leveraging advanced machine learning algorithms like Graph Neural Networks (GNNs) can help in capturing complex relationships and patterns within citation networks for more precise predictions.