Hai Lan

Hai Lan

George Mason University

H-index: 13

North America-United States

About Hai Lan

Hai Lan, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at George Mason University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Diversified responses of vegetation carbon uptake to urbanization: a national-scale analysis

ArcCI: A high-resolution aerial image management and processing platform for sea ice

Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19

Public Opinions on COVID-19 Vaccines—A Spatiotemporal Perspective on Races and Topics Using a Bayesian-Based Method

When and How to Safely Reopen Schools and Campuses During COVID-19 Pandemic?

The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management

Data gap filling using cloud-based distributed Markov chain cellular automata framework for land use and land cover change analysis: Inner Mongolia as a case study

An open-source workflow for spatiotemporal studies with COVID-19 as an example

Hai Lan Information

University

Position

___

Citations(all)

691

Citations(since 2020)

678

Cited By

190

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Top articles of Hai Lan

Diversified responses of vegetation carbon uptake to urbanization: a national-scale analysis

Frontiers in Ecology and Evolution

2023/6/9

ArcCI: A high-resolution aerial image management and processing platform for sea ice

2023/3/22

Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19

2022/10/2

Public Opinions on COVID-19 Vaccines—A Spatiotemporal Perspective on Races and Topics Using a Bayesian-Based Method

Vaccines

2022/9/7

When and How to Safely Reopen Schools and Campuses During COVID-19 Pandemic?

Available at SSRN 4036371

2022/2/16

Hai Lan
Hai Lan

H-Index: 7

The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management

Communications Earth & Environment

2022/1/18

Data gap filling using cloud-based distributed Markov chain cellular automata framework for land use and land cover change analysis: Inner Mongolia as a case study

Remote Sensing

2022/1/18

An open-source workflow for spatiotemporal studies with COVID-19 as an example

ISPRS International Journal of Geo-Information

2022/1

Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012–2018

Remote Sensing

2021/10/19

Spatiotemporal changes in global nitrogen dioxide emission due to COVID-19 mitigation policies

Science of the Total Environment

2021/7/1

COVID-scraper: an open-source toolset for automatically scraping and processing global multi-scale spatiotemporal COVID-19 records

Ieee Access

2021/6/3

A spatiotemporal data collection of viral cases for COVID-19 rapid response

Big Earth Data

2021/1/2

Expand Campus Reopen to a School System by Considering Population Density and Human Dynamics

Journal of Student-Scientists' Research

2021

Hai Lan
Hai Lan

H-Index: 7

A state-level socioeconomic data collection of the United States for COVID-19 research

Data

2020/12/11

Assessing terrestrial carbon sink potential from vegetation under optimal land management

2020/11/18

Spatiotemporal analysis of medical resource deficiencies in the US under COVID-19 pandemic

PloS one

2020/10/14

Individual-level fatality prediction of COVID-19 patients using AI methods

Frontiers in Public Health

2020/9/30

Can more carbon be captured by grasslands? A case study of Inner Mongolia, China

Science of The Total Environment

2020/6/25

See List of Professors in Hai Lan University(George Mason University)

Co-Authors

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