Lan Xun
Impact in
- Ecology top 10%
- Remote Sensing in Agriculture
- Global and Planetary Change top 10%
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
Papers in
- Ecology 17
- Remote Sensing in Agriculture 17
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- Remote Sensing and Land Use 11
- Co-authors
- Jiahua Zhang (15 shared papers)Dan Cao (9 shared papers)Shanshan Yang (7 shared papers)Fengmei Yao (6 shared papers)Jingwen Wang (7 shared papers)P. X. Wang (5 shared papers)Yun Bai (6 shared papers)Sha Zhang (7 shared papers)
- Journals
- Remote Sensing (3 papers)IEEE Access (3 papers)International Journal of Remote Sensing (2 papers)The Science of The Total Environment (2 papers)Computers and Electronics in Agriculture (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Lan Xun
22 papers receiving 469 citations
Peers
Comparison fields: 5 of 57
- Ecology 260
- Global and Planetary Change 195
- Atmospheric Science 128
- Media Technology 63
- Environmental Engineering 88
Countries citing papers authored by Lan Xun
This map shows the geographic impact of Lan Xun'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 Lan Xun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Xun more than expected).
Fields of papers citing papers by Lan Xun
This network shows the impact of papers produced by Lan Xun. 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 Lan Xun. The network helps show where Lan Xun may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Xun, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2021 | 65 | |
| 3 | 2022 | 46 | |
| 4 | 2021 | 40 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 35 | |
| 7 | 2018 | 28 | |
| 8 | 2018 | 24 | |
| 9 | 2022 | 22 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 18 | |
| 12 | 2018 | 18 | |
| 13 | 2025 | 12 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2025 | 1 |
About Lan Xun
Lan Xun is a scholar working on Ecology, Atmospheric Science, Global and Planetary Change, Environmental Engineering and Media Technology, having authored 22 papers that have together received 474 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (17 papers), Remote Sensing and Land Use (11 papers), Land Use and Ecosystem Services (6 papers), Remote Sensing and LiDAR Applications (5 papers), Leaf Properties and Growth Measurement (4 papers), Plant Water Relations and Carbon Dynamics (4 papers), Remote-Sensing Image Classification (4 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Ecology (260 citations), Global and Planetary Change (195 citations), Atmospheric Science (128 citations), Media Technology (63 citations) and Environmental Engineering (88 citations). Lan Xun has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jiahua Zhang, Dan Cao, Shanshan Yang, Fengmei Yao, Jingwen Wang, P. X. Wang, Yun Bai, Sha Zhang, L. J. Wang and Sha Zhang. Their work appears in journals such as Remote Sensing, IEEE Access, International Journal of Remote Sensing, The Science of The Total Environment and Computers and Electronics in Agriculture.
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.