Hu Jin

OverviewAI-generated summary

Hu Jin's research has explored diverse biological and computational domains, contributing to our understanding of cellular processes, disease mechanisms, and advanced learning techniques. Early work investigated genetic regulation and cellular behavior, including a study on promoter hypermethylation-mediated down-regulation of LATS1 and LATS2 in human astrocytoma and research on CD133 negative human neural stem cells. Jin has also examined molecular signaling pathways in plants, such as the interplay between abscisic acid and brassinosteroid signaling.

Further research has delved into host-pathogen interactions and microbial communities. This includes investigating the role of endogenous Bifidobacterium animalis in protecting mice against influenza infection and exploring the relationship between soil microbial communities and tobacco bacterial wilt disease, as well as the effects of redox potential on soil cadmium solubility. More recently, Jin has engaged in the application of machine learning, with a publication on graph anomaly detection via multi-scale contrastive learning networks.

With a h-index of 26 and over 136 publications, Jin has demonstrated a sustained research output. Funding has been secured for projects in STEM education and the electrical control of topological phases in layered semimetals. Key collaborators include Rabindra Basnet from the University of Arkansas at Pine Bluff, and Krishna Murari Pandey and Md Rafique Un Nabi from the University of Arkansas at Fayetteville.

Metrics

• h-index: 26
• Publications: 136
• Citations: 2,534