Skip To Main Content
Long Ying on Muck Rack

Long Ying

As seen in: MDPI
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 Long

Contact Long, 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

Experimental Investigation of Multiphysics Responses of Pouch Lithium-Ion Batteries Under Quasi-Static Compression and Dynamic Impact

|
By Long Ying, YuLong Zhang, Shanglong Xiao
| preprints.org
You are already at the latest version Lithium-ion batteries are prone to internal short circuits and subsequent thermal runaway under compression and impact loads during electric vehicle crashes, posing a critical safety challenge for the industry. However, existing studies lack systematic comparative analysis between quasi-static and dynamic loading conditions. In this study, 26 Ah ternary pouch lithium-ion batteries were used as research objects.
Open in Who Shared Issue with article?

Differing Responses of Three Scleractinian Corals from Phuket Coast in the Andaman Sea to Experimental Warming and Hypoxia

|
By Tarun Jain, Pimchanok Buapet, Long Ying, Mathinee Yucharoen
| MDPI
clear zoom_out_map search menu Author / Affiliation / Email Search Type Submit to this Journal Review for this Journal Edit a Special Issue Article Menu /ajax/scifeed/subscribe Altmetric share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up ... Endorse textsms ... Comment Need Help? Support Find support for a specific problem in the support section of our website. Get Support Feedback Please let us know what you think of our products and services.
Open in Who Shared Issue with article?

Deep Multi-Task Learning for an Autoencoder-Regularized Semantic Segmentation of Fundus Retina Images

|
By Ge Jin, Xu Chen, Long Ying
| MDPI
Abstract : Automated segmentation of retinal blood vessels is necessary for the diagnosis, monitoring, and treatment planning of the disease. Although current U-shaped structure models have achieved outstanding performance, some challenges still emerge due to the nature of this problem and mainstream models. (1) There does not exist an effective framework to obtain and incorporate features with different spatial and semantic information at multiple levels.
Open in Who Shared Issue with article?
See all 3 articles