1. Introduction
2. Paper Impact Prediction
2.1. The Machine Learning Approach
2.2. Time Series Models
2.3. Link Prediction and the Application in Citation Prediction
3. Scholar Impact Prediction
3.1. Quantifying Scientific Impact
3.2. Predicting Scholar Impact
3.3. Identifying Rising Stars
4. Author Collaboration Prediction
4.1. Methods Based on Link Prediction
4.2. Topological and Semantic Measures Based Methods
4.3. Clustering Based Link Methods
4.4. Co-authorship Based Methods
5. Open Issues and Challenges
5.1. Differences in Research Fields
5.2. Self-citation
5.3. Discover the Evolution Pattern of Scholarly Networks
5.4. Prediction Using Altmetrics
5.5. Prediction Paper Impact Using Deep Learning
5.6. Assessment of Scholar Success
5.7. Methods for Patent Impact Prediction
6. Conclusion