Shen Tan
Impact in
- Global and Planetary Change top 10%
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Land Use and Ecosystem Services
-
- Hydrology and Watershed Management Studies
Papers in
-
- Plant Water Relations and Carbon Dynamics 8
- Climate variability and models 4
- Land Use and Ecosystem Services 2
- Co-authors
- Bingfang Wu (7 shared papers)Nana Yan (5 shared papers)Han Wang (5 shared papers)I. Colin Prentice (3 shared papers)Jiaming Xu (4 shared papers)Weiwei Zhu (2 shared papers)Xin Zhang (5 shared papers)Shengchao Qiao (2 shared papers)
- Journals
- Remote Sensing (4 papers)Journal of Hydrology (2 papers)The Science of The Total Environment (1 paper)Water (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Shen Tan
21 papers receiving 267 citations
Peers
Comparison fields: 5 of 60
- Global and Planetary Change 153
- Water Science and Technology 60
- Environmental Engineering 54
- Atmospheric Science 45
- Ecology 62
Countries citing papers authored by Shen Tan
This map shows the geographic impact of Shen Tan'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 Shen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Tan more than expected).
Fields of papers citing papers by Shen Tan
This network shows the impact of papers produced by Shen Tan. 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 Shen Tan. The network helps show where Shen Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shen Tan, 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 | 2022 | 45 | |
| 2 | 2017 | 33 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 16 | |
| 7 | 2023 | 14 | |
| 8 | 2021 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 1 |
About Shen Tan
Shen Tan is a scholar working on Global and Planetary Change, Environmental Engineering, Atmospheric Science, Water Science and Technology and Ecology, having authored 25 papers that have together received 270 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (8 papers), Hydrology and Watershed Management Studies (5 papers), Climate variability and models (4 papers), Parathyroid Disorders and Treatments (3 papers), Remote Sensing and Land Use (3 papers), Remote Sensing in Agriculture (3 papers), Advanced Image Fusion Techniques (3 papers) and Land Use and Ecosystem Services (2 papers). The work is most often cited by research in Global and Planetary Change (153 citations), Water Science and Technology (60 citations), Environmental Engineering (54 citations), Atmospheric Science (45 citations) and Ecology (62 citations). Shen Tan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Bingfang Wu, Nana Yan, Han Wang, I. Colin Prentice, Jiaming Xu, Weiwei Zhu, Xin Zhang, Shengchao Qiao, Sandy P. Harrison and Shufu Liu. Their work appears in journals such as Remote Sensing, Journal of Hydrology, The Science of The Total Environment, Water 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.