Qianqian Jin
Biographic Data
| ID | 5093827 |
|---|---|
| NAME | Qianqian Jin |
| GIVEN NAMES | Qianqian |
| FAMILY NAME | Jin |
| SIGNATURE | JIN Q |
| AFFILIATIONS | Beijing Institute of Technology |
| ORCID | 0000-0002-2224-1185 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Latent classes of childhood maltreatment among Chinese undergraduates
Exploring funding patterns with word embedding-enhanced organization–topic networks
Network dynamics in university-industry collaboration
Profiling academic-industrial collaborations in bibliometric-enhanced topic networks
Screening Criteria of mRNA Indicators for Wound age Estimation
Wound age estimation is a crucial and challenging problem in forensic pathology. Although mRNA is the most commonly used indicator for wound age estimation, screening criteria are lacking. In the present study, the feasibility of screening criteria using mRNA to determine injury time based on the adenylate-uridylate-rich element (ARE) structure and gene ontology (GO) categories were evaluated. A total of 78 Sprague-Dawley male rats were contused …
No prominent works on this page.
Exploring funding patterns with word embedding-enhanced organization–topic networks
Network dynamics in university-industry collaboration
Profiling academic-industrial collaborations in bibliometric-enhanced topic networks
Screening Criteria of mRNA Indicators for Wound age Estimation
Wound age estimation is a crucial and challenging problem in forensic pathology. Although mRNA is the most commonly used indicator for wound age estimation, screening criteria are lacking. In the present study, the feasibility of screening criteria using mRNA to determine injury time based on the adenylate-uridylate-rich element (ARE) structure and gene ontology (GO) categories were evaluated. A total of 78 Sprague-Dawley male rats were contused …
Latent classes of childhood maltreatment among Chinese undergraduates
Computer Science (3 works) · Knowledge management (3 works) · Complex Network Analysis Techniques (2 works) · Data science (2 works) · Mathematics (2 works) · scientometrics and bibliometrics research (2 works) · Statistics (2 works) · World Wide Web (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)