Hai Lan

966 citations
30 papers · 591 · 1 hit paper · h-index 13

Impact in

    • Land Use and Ecosystem Services
    • Plant Water Relations and Carbon Dynamics
    • Conservation, Biodiversity, and Resource Management
    • COVID-19 impact on air quality
    • Forest Management and Policy
    • COVID-19 epidemiological studies

Papers in

    • Land Use and Ecosystem Services 9
    • COVID-19 impact on air quality 4
    • Atmospheric and Environmental Gas Dynamics 2
    • Remote Sensing in Agriculture 6

Hai Lan

29 papers receiving 575 citations

Hai Lan's Hit Papers

The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management 2022 · 180 citations
1800+1+2Years since publication50100150

Peers

Hai Lan
Comparison fields: 5 of 91
  • Global and Planetary Change 323
  • Modeling and Simulation 47
  • Urban Studies 54
  • Transportation 44
  • Health Informatics 7
Replace Xinyu Fu with:
Xinyu Fu United States
Khan Rubayet Rahaman Canada
Nicholus Mboga Belgium
Quanli Xu China
Ron Mahabir United States
Graeme Hornby United Kingdom
Zengwang Xu United States
Ricardo Crespo Chile
Ola Hall Sweden
Paul Isolo Mukwaya Uganda
Hai Lan relative to Xinyu Fu United States Xinyu Fu's profile →
Citations per field
00.5×
Xinyu Fu · 1×
Citations per year

Countries citing papers authored by Hai Lan

Since Specialization
Citations

This map shows the geographic impact of Hai Lan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hai Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Lan more than expected).

Fields of papers citing papers by Hai Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Lan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hai Lan. The network helps show where Hai Lan may publish in the future.

Co-authors

The 25 scholars most cited alongside Hai Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hai Lan Line = papers co-authored together Hai Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management
Hit paper breakdown →
2022180
2 201877
3 201747
4 202031
5 201630
6 202028
7 202022
8 202019
9 202019
10 202119
11 202117
12 202015
13 201813
14 202510
15 20209
16 20218
17 20227
18 20137
19 20216
20
DEGREE OF GREY INCIDENCE AND VARIABLE WEIGHT SYNTHESIZING APPLIED IN BRIDGE ASSESSMENT
20015

About Hai Lan

Hai Lan is a scholar working on Global and Planetary Change, Ecology, Modeling and Simulation, Epidemiology and Health, having authored 30 papers that have together received 591 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (9 papers), Remote Sensing in Agriculture (6 papers), COVID-19 epidemiological studies (6 papers), COVID-19 impact on air quality (4 papers), Data-Driven Disease Surveillance (3 papers), Urban Green Space and Health (2 papers), COVID-19 diagnosis using AI (2 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Global and Planetary Change (323 citations), Modeling and Simulation (47 citations), Urban Studies (54 citations), Transportation (44 citations) and Health Informatics (7 citations). Hai Lan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yichun Xie, Zongyao Sha, Yongfei Bai, Xuefeng Liu, Ruren Li, Shujuan Chang, Xueliang Zhang, Jonathan Li, Hongmian Gong and Chaowei Yang. Their work appears in journals such as The Science of The Total Environment, Communications Earth & Environment, Frontiers in Ecology and Evolution, Computers Environment and Urban Systems and Big Earth Data.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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