Kaiqun Fu

About Kaiqun Fu

Kaiqun Fu, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of spatial data mining, graph neural networks, machine learning, urban computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks

Granger causal inference for interpretable traffic prediction

A hierarchical attention graph convolutional network for traffic incident impact forecasting

Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection

Bridging the gap between spatial and spectral domains: A survey on graph neural networks

Risecure: Metro incidents and threat detection using social media

Kaiqun Fu Information

University

Position

___

Citations(all)

418

Citations(since 2020)

352

Cited By

142

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Kaiqun Fu Skills & Research Interests

spatial data mining

graph neural networks

machine learning

urban computing

Top articles of Kaiqun Fu

DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network

Journal of King Saud University-Computer and Information Sciences

2023/5/1

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks

Journal of King Saud University-Computer and Information Sciences

2022/9/1

Kaiqun Fu
Kaiqun Fu

H-Index: 6

Chang-Tien Lu
Chang-Tien Lu

H-Index: 38

Granger causal inference for interpretable traffic prediction

2022/10/8

A hierarchical attention graph convolutional network for traffic incident impact forecasting

2021/12/15

Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection

2020/12/10

Bridging the gap between spatial and spectral domains: A survey on graph neural networks

2023/12/8

Risecure: Metro incidents and threat detection using social media

2020/12/7

See List of Professors in Kaiqun Fu University(Virginia Polytechnic Institute and State University)

Co-Authors

academic-engine