Xiang Song
- Global and Planetary Change top 10%
- Environmental Changes in China 7
- Atmospheric and Environmental Gas Dynamics 2
- Atmospheric Science top 10%
- Remote Sensing and Land Use 4
- Earth-Surface Processes top 10%
- Aeolian processes and effects 3
- Soil Science top 10%
- Soil erosion and sediment transport 3
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- Rangeland Management and Livestock Ecology 4
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- Remote Sensing in Agriculture 5
- Plant Ecology and Soil Science 2
- Co-authors
- Fang LiChangzhou YanChangzhen YanTao WangHanchen DuanXiaodong ZengS. LiYanling Zhu
- Journals
- The Science of The Total Environment (1 paper)International Journal of Remote Sensing (1 paper)Geomorphology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiang Song
19 papers receiving 403 citations
Peers
Comparison fields: 5 of 55
- Global and Planetary Change 216
- Atmospheric Science 164
- Earth-Surface Processes 51
- Soil Science 63
- Management, Monitoring, Policy and Law 71
Countries citing papers authored by Xiang Song
This map shows the geographic impact of Xiang Song'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 Xiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Song more than expected).
Fields of papers citing papers by Xiang Song
This network shows the impact of papers produced by Xiang Song. 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 Xiang Song. The network helps show where Xiang Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiang Song, 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 | 2024 | 6 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 15 | |
| 4 | 2021 | 61 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 52 | |
| 7 | 2020 | 5 | |
| 8 | A satellite data record of annual global land cover and long-term change 1982-2016 | 2018 | 2 |
| 9 | 2018 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2016 | 4 | |
| 12 | [Relationship Between Agricultural Land and Water Quality of Inflow River in Erhai Lake Basin]. | 2015 | 10 |
| 13 | 2014 | 19 | |
| 14 | 2011 | 4 | |
| 15 | 2011 | 54 | |
| 16 | 2011 | 18 | |
| 17 | 2009 | 78 | |
| 18 | 2009 | 51 | |
| 19 | Remote Sensing Monitoring on Land Use Changes of Each Ecosystem in Alax Prefecture of Inner Mongolia in Last 30 Years | 2008 | 3 |
About Xiang Song
Xiang Song is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes, having authored 19 papers that have together received 408 indexed citations. Recurring topics across this work include Environmental Changes in China (7 papers), Remote Sensing in Agriculture (5 papers), Remote Sensing and Land Use (4 papers), Rangeland Management and Livestock Ecology (4 papers), Soil erosion and sediment transport (3 papers), Aeolian processes and effects (3 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Plant Ecology and Soil Science (2 papers). The work is most often cited by research in Global and Planetary Change (216 citations), Atmospheric Science (164 citations) and Earth-Surface Processes (51 citations). Xiang Song has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Fang Li, Changzhou Yan, Changzhen Yan, Tao Wang, Hanchen Duan, Xiaodong Zeng, S. Li, Yanling Zhu, Xin Xu and Guangyue Liu. Their work appears in journals such as The Science of The Total Environment, International Journal of Remote Sensing and Geomorphology.
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.