Da Nian
Impact in
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- Climate variability and models
- Ecosystem dynamics and resilience
- Plant Water Relations and Carbon Dynamics
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- Meteorological Phenomena and Simulations
Papers in
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- Climate variability and models 9
- Ecosystem dynamics and resilience 6
- Plant Water Relations and Carbon Dynamics 3
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- Meteorological Phenomena and Simulations 3
- Tree-ring climate responses 2
- Tropical and Extratropical Cyclones Research 1
- Co-authors
- Zuntao Fu (8 shared papers)Sebastian Bathiany (4 shared papers)Niklas Boers (4 shared papers)Tao Feng (1 shared paper)Yu Huang (2 shared papers)Ge Liu (1 shared paper)Marina Hirota (1 shared paper)Naiming Yuan (2 shared papers)
- Journals
- Climate Dynamics (6 papers)The Science of The Total Environment (1 paper)Communications Earth & Environment (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Global Change Biology (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Da Nian
13 papers receiving 89 citations
Peers
Comparison fields: 5 of 32
- Global and Planetary Change 51
- Atmospheric Science 25
- Economics and Econometrics 31
- Statistical and Nonlinear Physics 14
- Environmental Engineering 11
Countries citing papers authored by Da Nian
This map shows the geographic impact of Da Nian'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 Da Nian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Nian more than expected).
Fields of papers citing papers by Da Nian
This network shows the impact of papers produced by Da Nian. 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 Da Nian. The network helps show where Da Nian may publish in the future.
Co-authors
The 22 scholars most cited alongside Da Nian, 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 | 2017 | 21 | |
| 2 | 2018 | 15 | |
| 3 | 2023 | 10 | |
| 4 | 2019 | 9 | |
| 5 | 2019 | 8 | |
| 6 | 2020 | 6 | |
| 7 | 2025 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 0 |
About Da Nian
Da Nian is a scholar working on Global and Planetary Change, Atmospheric Science, Economics and Econometrics, Molecular Biology and Nature and Landscape Conservation, having authored 14 papers that have together received 89 indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Ecosystem dynamics and resilience (6 papers), Complex Systems and Time Series Analysis (6 papers), Plant Water Relations and Carbon Dynamics (3 papers), Meteorological Phenomena and Simulations (3 papers), Ecology and Vegetation Dynamics Studies (2 papers), Tree-ring climate responses (2 papers) and Tropical and Extratropical Cyclones Research (1 paper). The work is most often cited by research in Global and Planetary Change (51 citations), Atmospheric Science (25 citations), Economics and Econometrics (31 citations), Statistical and Nonlinear Physics (14 citations) and Environmental Engineering (11 citations). Da Nian has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Zuntao Fu, Sebastian Bathiany, Niklas Boers, Tao Feng, Yu Huang, Ge Liu, Marina Hirota, Naiming Yuan, Todd A. Mooring and Christian L. E. Franzke. Their work appears in journals such as Climate Dynamics, The Science of The Total Environment, Communications Earth & Environment, Physica A Statistical Mechanics and its Applications and Global Change Biology.
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.