Sai Qu
- Global and Planetary Change top 2%
- Land Use and Ecosystem Services 6
- Plant Water Relations and Carbon Dynamics 4
- Ecological Modeling top 5%
- Species Distribution and Climate Change 3
- Ecology top 5%
- Remote Sensing in Agriculture 10
- Atmospheric Science top 10%
- Tree-ring climate responses 2
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- thermodynamics and calorimetric analyses 6
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- Chemical Thermodynamics and Molecular Structure 4
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- Thermal and Kinetic Analysis 2
- Journals
- Journal of Thermal Analysis and Calorimetry (7 papers)Ecological Indicators (4 papers)Environmental Research Letters (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Sai Qu
20 papers receiving 885 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Global and Planetary Change 674
- Ecological Modeling 109
- Ecology 485
- Nature and Landscape Conservation 128
- Atmospheric Science 184
Countries citing papers authored by Sai Qu
This map shows the geographic impact of Sai Qu'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 Sai Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Qu more than expected).
Fields of papers citing papers by Sai Qu
This network shows the impact of papers produced by Sai Qu. 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 Sai Qu. The network helps show where Sai Qu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sai Qu, 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 | 2023 | 10 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 31 | |
| 6 | 2020 | 71 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 48 | |
| 10 | What drives the vegetation restoration in Yangtze River basin, China: Climate change or anthropogenic factors?breakdown → | 2018 | 257 |
| 11 | 2018 | 29 | |
| 12 | 2018 | 62 | |
| 13 | 2006 | 5 | |
| 14 | 2006 | 5 | |
| 15 | 2005 | 31 | |
| 16 | 2005 | 8 | |
| 17 | 2003 | 6 | |
| 18 | 2002 | 8 | |
| 19 | 2001 | 5 | |
| 20 | 2001 | 5 |
About Sai Qu
Sai Qu is a scholar working on Ecological Modeling, Physical and Theoretical Chemistry, Global and Planetary Change, Filtration and Separation and Ecology, having authored 21 papers that have together received 904 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (10 papers), thermodynamics and calorimetric analyses (6 papers), Land Use and Ecosystem Services (6 papers), Plant Water Relations and Carbon Dynamics (4 papers), Chemical Thermodynamics and Molecular Structure (4 papers), Species Distribution and Climate Change (3 papers), Tree-ring climate responses (2 papers) and Thermal and Kinetic Analysis (2 papers). The work is most often cited by research in Global and Planetary Change (674 citations), Ecological Modeling (109 citations), Ecology (485 citations), Nature and Landscape Conservation (128 citations) and Atmospheric Science (184 citations). Sai Qu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lunche Wang, Aiwen Lin, Moxi Yuan, Hongji Zhu, Deqing Yu, LI Chang-an, Qingjun Li, Lin Zhao, Dunxian She and Zhengjia Liu. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Ecological Indicators, Environmental Research Letters, The Science of The Total Environment and Landscape and Urban Planning.
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.