Xulin Guo
Impact in
- Environmental Engineering top 0.5%
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Global and Planetary Change top 1%
- Land Use and Ecosystem Services
- Fire effects on ecosystems
Papers in
-
- Species Distribution and Climate Change 24
- Ecology 96
- Remote Sensing in Agriculture 74
- Rangeland and Wildlife Management 26
Xulin Guo
132 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Environmental Engineering 1.3k
- Global and Planetary Change 1.7k
- Ecological Modeling 323
- Ecology 1.8k
- Atmospheric Science 645
Countries citing papers authored by Xulin Guo
This map shows the geographic impact of Xulin Guo'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 Xulin Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xulin Guo more than expected).
Fields of papers citing papers by Xulin Guo
This network shows the impact of papers produced by Xulin Guo. 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 Xulin Guo. The network helps show where Xulin Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xulin Guo, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 10 | |
| 15 | The responses of Pa, SPI, and SPEI to dry climate in alpine meadows of eastern Qinghai-Tibet Plateau | 2017 | 2 |
| 16 | 2016 | 15 | |
| 17 | Spatial Relationships between Leaf Area Index and Topographic Factors in a Semiarid Grassland: Joint Multifractal Analysis | 2011 | 21 |
| 18 | Satellite monitoring of northern ecosystems | 2008 | 1 |
| 19 | 2006 | 34 | |
| 20 | 2005 | 7 |
About Xulin Guo
Xulin Guo is a scholar working on Ecological Modeling, Ecology, Global and Planetary Change, Environmental Engineering and Nature and Landscape Conservation, having authored 134 papers that have together received 3.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (74 papers), Land Use and Ecosystem Services (26 papers), Rangeland and Wildlife Management (26 papers), Species Distribution and Climate Change (24 papers), Remote Sensing and LiDAR Applications (19 papers), Plant Water Relations and Carbon Dynamics (17 papers), Ecology and Vegetation Dynamics Studies (17 papers) and Fire effects on ecosystems (12 papers). The work is most often cited by research in Environmental Engineering (1.3k citations), Global and Planetary Change (1.7k citations), Ecological Modeling (323 citations), Ecology (1.8k citations) and Atmospheric Science (645 citations). Xulin Guo has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xiaolei Yu, Zhaocong Wu, Thuan Chu, Zhaoqin Li, Yuhong He, Dandan Xu, Steven E. Franklin, Li Shen, John Wilmshurst and Kai Wang. Their work appears in journals such as Canadian Journal of Remote Sensing, Remote Sensing, International Journal of Remote Sensing, Sensors and Ecological Indicators.
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.