Shengyi Pan

IEEE Transactions on Smart Grid · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Shengyi Pan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Raymond Borges Hink
2. Justin M. Beaver

Who trusts Shengyi Pan overall

1. Nilufer Tuptuk
2. Ahmed S. Musleh
3. Mohamed Amine Ferrag
4. Eklas Hossain
5. S. Hailes
6. Guo Chen
7. Leandros A. Maglaras

Papers from Shengyi Pan's perspective

Ordered by how strongly the researchers Shengyi Pan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast Effective Rule Induction
2. Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
3. The WEKA data mining software: an update
4. Random Forests
5. Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems
6. Distributed Intrusion Detection System in a Multi-Layer Network Architecture of Smart Grids (IEEE Transactions on Smart Grid)
7. Machine learning for power system disturbance and cyber-attack discrimination (2014 7th International Symposium on Resilient Control Systems (ISRCS))
8. UCI Repository of machine learning databases
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Developing a Hybrid Intrusion Detection System Using Data Mining for Power Systems (2015) — 399 citations
• Machine learning for power system disturbance and cyber-attack discrimination (2014) — 297 citations