Hai Lan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Urban Studies top 5%
- Urbanization and City Planning
Papers in
-
- COVID-19 epidemiological studies 5
-
- Land Use and Ecosystem Services 2
- COVID-19 impact on air quality 1
- Climate variability and models 1
- Co-authors
- Yichun Xie (8 shared papers)Zongyao Sha (6 shared papers)Ruren Li (2 shared papers)Yongfei Bai (2 shared papers)Xuefeng Liu (2 shared papers)Shujuan Chang (2 shared papers)Xueliang Zhang (2 shared papers)Jonathan Li (1 shared paper)
- Journals
- The Science of The Total Environment (2 papers)ISPRS International Journal of Geo-Information (1 paper)Journal of Geographical Sciences (1 paper)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)Remote Sensing (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hai Lan
23 papers receiving 708 citations
Hai Lan's Hit Papers
Peers
Comparison fields: 5 of 63
- Modeling and Simulation 68
- Urban Studies 36
- Global and Planetary Change 145
- Ecology 61
- Transportation 15
Countries citing papers authored by Hai Lan
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
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.
All Works
Showing the 20 most-cited of 25 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 → | 2022 | 230 |
| 2 | 2020 | 91 | |
| 3 | 2018 | 82 | |
| 4 | 2017 | 46 | |
| 5 | 2020 | 36 | |
| 6 | 2020 | 32 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2018 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2013 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 5 |
About Hai Lan
Hai Lan is a scholar working on Modeling and Simulation, Global and Planetary Change, Urban Studies, Media Technology and Health, having authored 25 papers that have together received 722 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Land Use and Ecosystem Services (2 papers), COVID-19 impact on air quality (1 paper), Regional Economics and Spatial Analysis (1 paper), Climate variability and models (1 paper), Urbanization and City Planning (1 paper), Arctic and Antarctic ice dynamics (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Modeling and Simulation (68 citations), Urban Studies (36 citations), Global and Planetary Change (145 citations), Ecology (61 citations) and Transportation (15 citations). Hai Lan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yichun Xie, Zongyao Sha, Ruren Li, Yongfei Bai, Xuefeng Liu, Shujuan Chang, Xueliang Zhang, Jonathan Li, Hongmian Gong and Chaowei Phil Yang. Their work appears in journals such as The Science of The Total Environment, ISPRS International Journal of Geo-Information, Journal of Geographical Sciences, ISPRS Journal of Photogrammetry and Remote Sensing and Remote Sensing.
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.