Report summary

For Shenzhen Institute of Information Technology School of Computer Science in 2024-2026, the graph shows 21 visible PIs and 4 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (46% of slots across 18 PIs; 18 labels), Artificial Intelligence as the leading subfield (20% of slots across 10 PIs; 10 labels), and Advanced Image and Video Retrieval Techniques as the leading topic (3% of slots across 2 PIs; 2 labels). That looks relatively sparse, so claims about department-wide cohesion should be made carefully. The top weighted PIs are Zhaoquan Gu (6.4 weighted works; Advanced Malware Detection Techniques, Network Security and Intrusion Detection); Jie Wen (6.1 weighted works; Advanced Image and Video Retrieval Techniques, Text and Document Classification Technologies). The most visible ties are Xuan Wang and Zoe L. Jiang (2 shared works, weight 0.7). The standout breakdown groups are group 1 with 2 PIs, 1 internal connections, weight 0.1, around Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Media Technology, led by Yong Xu, Guangming Lu.