Chula Sa
Impact in
- Global and Planetary Change top 5%
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Land Use and Ecosystem Services
- Hydrology and Drought Analysis
- Atmospheric Science top 10%
- Tree-ring climate responses
Papers in
-
- Plant Water Relations and Carbon Dynamics 12
- Climate variability and models 9
- Hydrology and Drought Analysis 4
- Land Use and Ecosystem Services 4
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- Cryospheric studies and observations 7
- Co-authors
- Min Luo (22 shared papers)Yuhai Bao (19 shared papers)Fanhao Meng (22 shared papers)Tie Liu (8 shared papers)Yongchao Duan (4 shared papers)Philippe De Maeyer (2 shared papers)Mulan Wang (2 shared papers)Yunqian Wang (2 shared papers)
In The Last Decade
Chula Sa
25 papers receiving 464 citations
Peers
Comparison fields: 5 of 40
- Global and Planetary Change 302
- Atmospheric Science 173
- Ecology 168
- Ecological Modeling 28
- Environmental Engineering 87
Countries citing papers authored by Chula Sa
This map shows the geographic impact of Chula Sa'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 Chula Sa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chula Sa more than expected).
Fields of papers citing papers by Chula Sa
This network shows the impact of papers produced by Chula Sa. 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 Chula Sa. The network helps show where Chula Sa may publish in the future.
Co-authors
The 25 scholars most cited alongside Chula Sa, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 106 | |
| 2 | 2020 | 95 | |
| 3 | 2021 | 63 | |
| 4 | 2022 | 28 | |
| 5 | 2023 | 23 | |
| 6 | 2022 | 22 | |
| 7 | 2023 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 10 | |
| 12 | 2024 | 7 | |
| 13 | 2025 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Chula Sa
Chula Sa is a scholar working on Global and Planetary Change, Atmospheric Science, Ecology, Water Science and Technology and Management, Monitoring, Policy and Law, having authored 27 papers that have together received 468 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (12 papers), Climate variability and models (9 papers), Remote Sensing in Agriculture (7 papers), Cryospheric studies and observations (7 papers), Soil Moisture and Remote Sensing (4 papers), Hydrology and Drought Analysis (4 papers), Hydrology and Watershed Management Studies (4 papers) and Land Use and Ecosystem Services (4 papers). The work is most often cited by research in Global and Planetary Change (302 citations), Atmospheric Science (173 citations), Ecology (168 citations), Ecological Modeling (28 citations) and Environmental Engineering (87 citations). Chula Sa has collaborated with scholars based in China, Belgium and Mongolia. Frequent co-authors include Min Luo, Yuhai Bao, Fanhao Meng, Tie Liu, Yongchao Duan, Philippe De Maeyer, Mulan Wang, Yunqian Wang, Xiang Zhang and Siqin Tong. Their work appears in journals such as Remote Sensing, The Science of The Total Environment, Ecological Indicators, Earth s Future and International Journal of Digital Earth.
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.