Xin Lin
- Global and Planetary Change top 0.5%
- Climate variability and models 30
- Atmospheric and Environmental Gas Dynamics 23
- Atmospheric Science top 1%
- Meteorological Phenomena and Simulations 22
- Atmospheric chemistry and aerosols 11
- Precipitation Measurement and Analysis 11
- Atmospheric Ozone and Climate 6
- Ecological Modeling top 5%
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI 6
- Oceanography top 5%
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- Remote Sensing in Agriculture 6
- Co-authors
- Richard H. JohnsonPhilippe CiaisShilong PiaoDavid A. RandallAiguo DaiKuolin HsuShushi PengLaura D. Fowler
- Journals
- Nature (2 papers)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xin Lin
73 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Global and Planetary Change 2.3k
- Atmospheric Science 1.9k
- Ecological Modeling 180
- Environmental Engineering 396
- Oceanography 228
Countries citing papers authored by Xin Lin
This map shows the geographic impact of Xin Lin'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 Xin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Lin more than expected).
Fields of papers citing papers by Xin Lin
This network shows the impact of papers produced by Xin Lin. 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 Xin Lin. The network helps show where Xin Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | Record-high CO 2 emissions from boreal fires in 2021breakdown → | 2023 | 148 |
| 6 | 2023 | 14 | |
| 7 | Wetland emission and atmospheric sink changes explain methane growth in 2020breakdown → | 2022 | 163 |
| 8 | 2021 | 59 | |
| 9 | 2021 | 49 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 31 | |
| 13 | 2018 | 18 | |
| 14 | 2018 | 41 | |
| 15 | 2016 | 143 | |
| 16 | On the Prospect of Underground Coal Gasification in China from Low-Carbon Economy | 2012 | 2 |
| 17 | Alpine Timberline Dynamics in Relation to Climatic Variability in the Northern Daxing'an Mountains | 2009 | 4 |
| 18 | Preliminary comparison of MODIS-NDVI and MODIS-EVI in Eastern Asia | 2006 | 14 |
| 19 | Using High-Resolution Satellite Observations for Evaluation of Cloud and Precipitation Statistics from Cloud-Resolving Model Simulations. Part I: South China Sea Monsoon Experiment | 2006 | 2 |
| 20 | Multiscale Variability Associated with the Intraseasonal Oscillation Over the Western Pacific Warm Pool | 1997 | 1 |
About Xin Lin
Xin Lin is a scholar working on Global and Planetary Change, Atmospheric Science and Ecological Modeling, having authored 76 papers that have together received 3.0k indexed citations. Recurring topics across this work include Climate variability and models (30 papers), Atmospheric and Environmental Gas Dynamics (23 papers), Meteorological Phenomena and Simulations (22 papers), Atmospheric chemistry and aerosols (11 papers), Precipitation Measurement and Analysis (11 papers), Hydrological Forecasting Using AI (6 papers), Remote Sensing in Agriculture (6 papers) and Atmospheric Ozone and Climate (6 papers). The work is most often cited by research in Global and Planetary Change (2.3k citations), Atmospheric Science (1.9k citations) and Ecological Modeling (180 citations). Xin Lin has collaborated with scholars based in China, United States and France. Frequent co-authors include Richard H. Johnson, Philippe Ciais, Shilong Piao, David A. Randall, Aiguo Dai, Kuolin Hsu, Shushi Peng, Laura D. Fowler, Arthur Y. Hou and Anping Chen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.