Skip to main content
Ying Yan on Muck Rack

Ying Yan

As seen in: Nature, Wiley Online Library, ScienceDirect, Frontiers, Frontiers in Immunology, MDPI, SAGE Publishing, Taylor & Francis Online, The BMJ, ACS Publications and
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 Ying

Contact Ying, 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

Fault diagnosis of surge arresters via electro-thermal coupled simulation and gradient boosting tree

|
By Ying Yan, Zhijie Tang, Jiahui Chen, Zhenming Cai, Xing Xu, Zuyi Peng, Yaoheng Xie, Lipeng Zhong
| Nature Verified
Abstract The Metal-Oxide Arrester (MOA) is a crucial device for ensuring the safety of power grids, but its fault diagnosis faces the challenge of scarce actual fault samples. In this study, a 3D electro-thermal coupled simulation model is developed to reconstruct four operating conditions: internal moisture, aging of the insulating sleeve, wet contamination, and normal operation.
Open in Who Shared Issue with article?

The multifaceted regulatory network of microRNA396: Orchestrating plant plasticity through coordinating development and various stresses

|
By Hang Yang, Ying Yan, Lixia Zhang
| Wiley Online Library Verified
INTRODUCTION As sessile organisms, plants must continuously adapt to fluctuating environmental conditions. This requirement has driven the evolution of highly plastic developmental systems governed by multilayered gene regulatory networks (Takeda and Matsuoka, 2008; Moshelion and Altman, 2015; Feng et al., 2022; Dong et al., 2024).
Open in Who Shared Issue with article?

Integrated metabolomic and transcriptomic profiling reveals lipid dysregulation and potential biomarkers in interstitial lung disease

|
By Ping Li, Ying Yan, Xia Zhao, Hongmei Yang, Honghong Ma, Xu Chen, Shurong Bai
| Frontiers in Immunology
Abstract Interstitial lung disease (ILD) comprises diverse chronic inflammatory and fibrotic disorders with poorly understood mechanisms and limited diagnostic biomarkers. Growing evidence implicates lipid metabolic reprogramming in ILD pathogenesis, yet integrated metabolomic–transcriptomic analyses remain scarce. We performed combined metabolomic and transcriptomic analysis using publicly available datasets.
Open in Who Shared Issue with article?
See all 91 licensed articles (95 Total)