Skip To Main Content
Yingwei Yan on Muck Rack

Yingwei Yan

As seen in: Wiley Online Library, 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 Yingwei

Contact Yingwei, 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

Evolution of Vegetation Coverage in the Jinan Section of the Basin of the Yellow River (China), 2008-2022: Spatial Dynamics and Drivers

|
By Yingwei Yan
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Dongling Ma 1,*, Zhenxin Lin 1, Qian Wang 1, Yifan Yu 1, Qingji Huang 1 and Yingwei Yan 2 1 School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China 2 Department of Geography, National University of Singapore, Singapore 117568, Singapore * Author to whom correspondence should be addressed.
Open in Who Shared Issue with article?

Understanding the mobility patterns of Mass Rapid Transit (MRT) passengers amid COVID‐19 in Singapore using smart card data

|
By Mingjia Chen, Yingwei Yan, Chen-Chieh Feng, Shuting Chen
| Wiley Online Library Verified
References , , (2021) Mobility change in Delhi due to COVID and its immediate and long term impact on demand with intervened non motorized transport friendly infrastructural policies. Transport Policy 111, 28−37. , , , (2016) Validating and improving public transport origin–destination estimation algorithm using smart card fare data. Transportation Research Part C: Emerging Technologies 68, 490−506. , , et al.
Open in Who Shared Issue with article?

Complex adaptive blended learning for higher GIS education: A theory‐driven pedagogy moving forward after the pandemic

|
By Chen-Chieh Feng, Yingwei Yan
| Wiley Online Library Verified
Abstract None of the prior studies implementing blended learning (BL) for GIS education has explored pedagogical theories to support BL design, and none coupled blended GIS learning practice with theories. Based on the theoretical framework of complex adaptive blended learning system (CABLS), this article presents a holistic and systematic view of BL for higher GIS education (termed as CABLS-GIS), where its key components are tightly integrated as an integral whole.
Open in Who Shared Issue with article?
See all 4 articles