Skip To Main Content
Lijun Yin on Muck Rack

Lijun Yin

As seen in: Wiley Online Library, Frontiers, Frontiers in Marine Science, MDPI, ACS Publications, BMC Cancer, Nutrition & Metabolism, Dove Medical Press, The Journal of Hospital Infection
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Lijun

Contact Lijun, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Correction: Research on intelligent predicting method of underwater acoustic field based on physics-informed neural network

|
By Lei Chen, Lin Zhang, Xuehai Sun, Jiaxi Duan, Lijun Yin, Xinshuo Zheng, Jie Chen
| Frontiers in Marine Science
A Correction on Research on intelligent predicting method of underwater acoustic field based on physics-informed neural network By Chen L, Zhang L, Sun X, Duan J, Yin L, Zheng X and Chen J (2025) Front. Mar. Sci. 12:1665305. doi: 10.3389/fmars.2025.1665305 Author “Lei Chen” was erroneously assigned as corresponding author. The correct corresponding author is “Lin Zhang”.
Open in Who Shared Issue with article?

Computer Science > Computer Vision and Pattern Recognition

|
By Xin Zhou, Hao Deng, Lijun Yin
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (343) Issue with article?

Association of the serum uric acid to high-density lipoprotein cholesterol ratio with in-hospital mortality in patients with acute kidney injury: a retrospective cohort study

|
By Desheng Zhang, Guohao Xu, Lijun Yin, Jun Lv, Jianghua Guo
| Frontiers
Abstract Background: Acute kidney injury (AKI) has a high in-hospital mortality rate, requiring better prognostic tools. The uric acid to HDL cholesterol ratio (UHR), a novel biomarker of metabolic inflammation, was investigated for predicting mortality in AKI patients. Methods: A retrospective cohort study was conducted from January 2021 to January 2024, including 500 adult AKI patients diagnosed according to KDIGO criteria.
Open in Who Shared Issue with article?
See all 22 licensed articles (23 Total)