Jun Li
Research cited on:
Diabetes
Affiliation: Tsinghua University
Institution: Tsinghua University
ORCID: 0000-0002-7990-1295
External IDs:
Scopus Author ID: 57557307700
| ResearchGate Profile: Jun_Li
Email: junli@tsinghua.edu.cn
Works: 45,
Cited by: 1200,
H-index: 20
Jun Li is a leading researcher in the field of Machine Learning and Artificial Intelligence.
Education
- PhD, Stanford University (2008-2012)
- Bachelor's, Peking University (2004-2008)
Research Interests
Keywords:
Machine Learning
Artificial Intelligence
Data Science
Topics:
Machine Learning
Deep Learning
Natural Language Processing
Professional Links
Selected Publications
Microneedles accelerate diabetic wound healing
Wang A, Ruan X, Wang X, Ren Y, Shen C, et al. A one-stop integrated natural antimicrobial microneedles with anti-inflammatory, pro-angiogenic and long-term moisturizing properties to accelerate diabetic wound healing. Eur J Pharm Biopharm. 2024;203:114448. doi:10.1016/j.ejpb.2024.114448
Quercetin improves diabetic wound healing
Liu H, Ai R, Liu B, He L. Dual ROS/Glucose-Responsive Quercetin-Loaded Supramolecular Hydrogel for Diabetic Wound Healing. Biomacromolecules. 2025. doi:10.1021/acs.biomac.4c01331
Quercetin shows promise in diabetes
Abdou HM, Elmageed GMA, Hussein HK, Yamari I, Chtita S, et al. Antidiabetic Effects of Quercetin and Silk Sericin in Attenuating Dysregulation of Hepatic Gluconeogenesis in Diabetic Rats Through Potential Modulation of PI3K/Akt/FOXO1 Signaling: In Vivo and In Silico Studies. J Xenobiot. 2025;15. doi:10.3390/jox15010016
Related Products
Products associated with this researcher's work:
NOW Supplements, Quercetin with Bromelain, Balanced Immune System*, 120 Veg Capsules
Related to: Diabetes