Report summary

Shenzhen Institute of Information Technology School of Computer Science in 2020-2026 reads as a 37-PI network with 17 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (46% of slots across 29 PIs; 29 labels), Artificial Intelligence as the leading subfield (18% of slots across 16 PIs; 16 labels), and Topic Modeling as the leading topic (4% of slots across 4 PIs; 4 labels). That is of concern for a 37-PI roster; the strongest pairings may be carrying much of the visible collaboration. The leading PI names are Junyi Li (12.7 weighted works; Bioinformatics and Genomic Networks, Computational Drug Discovery Methods); Zhongyun Hua (12.7 weighted works; Chaos-based Image/Signal Encryption, Chaos control and synchronization). The most visible ties are Junyi Li and Yadong Wang (12 shared works, weight 8.4). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 20, around Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, led by Junyi Li, Yong Xu, Zenglin Xu.