Skip To Main Content
Liangxiong Chen on Muck Rack

Liangxiong Chen

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 Liangxiong

Contact Liangxiong, 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

Attribution of Runoff Variation in Reservoir Construction Area: Based on a Merged Deep Learning Model and the Budyko Framework

|
By Xiaohong Chen, Bensheng Huang, Liangxiong Chen
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared View Duplicates (92) Issue with article?

Evaluation of GPM and TRMM and Their Capabilities for Capturing Solid and Light Precipitations in the Headwater Basin of the Heihe River

|
By Jie Liu, Bensheng Huang, Liangxiong Chen, Jingxue Yang
| MDPI
1. Introduction Precipitation is a significant component of the hydrological cycle and is essential forcing data for many applications including hydrology [1,2], agriculture [3] and extreme precipitation events research [4]. Among them, extreme precipitation research has attracted much attention because of its impact on disaster assessment and risk management.
Open in Who Shared Issue with article?
See all 2 articles