D. Xiao
Impact in
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- Meteorological Phenomena and Simulations
- Climate change and permafrost
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- Climate variability and models
- Plant Water Relations and Carbon Dynamics
Papers in
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- Electric Motor Design and Analysis 5
- Co-authors
- Kaiwen Zhang (5 shared papers)Zhiyan Zuo (5 shared papers)Wei Yu (4 shared papers)Renhe Zhang (2 shared papers)Shilong Piao (2 shared papers)Liang Qiao (2 shared papers)Shou‐Jun Xiao (2 shared papers)XiaoMin Yang (1 shared paper)
- Journals
- The Journal of Physical Chemistry C (2 papers)Journal of Climate (2 papers)Physics Letters A (2 papers)Ceramics International (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
D. Xiao
39 papers receiving 347 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Atmospheric Science 72
- Global and Planetary Change 80
- Environmental Engineering 41
- Atomic and Molecular Physics, and Optics 58
- Computational Mathematics 1
Countries citing papers authored by D. Xiao
This map shows the geographic impact of D. Xiao'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 D. Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Xiao more than expected).
Fields of papers citing papers by D. Xiao
This network shows the impact of papers produced by D. Xiao. 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 D. Xiao. The network helps show where D. Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Xiao, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Soil moisture–atmosphere coupling accelerates global warming Hit paper breakdown → | 2023 | 88 |
| 2 | 1994 | 42 | |
| 3 | 1994 | 27 | |
| 4 | 1994 | 23 | |
| 5 | 1993 | 20 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2005 | 8 | |
| 12 | 2015 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 1994 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2025 | 5 |
About D. Xiao
D. Xiao is a scholar working on Electrical and Electronic Engineering, Plant Science, Molecular Biology, Atmospheric Science and Pharmacology, having authored 45 papers that have together received 367 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (5 papers), Climate variability and models (4 papers), Magnetic Bearings and Levitation Dynamics (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Microbial Metabolism and Applications (3 papers), Force Microscopy Techniques and Applications (3 papers), Climate change and permafrost (3 papers) and Ammonia Synthesis and Nitrogen Reduction (2 papers). The work is most often cited by research in Atmospheric Science (72 citations), Global and Planetary Change (80 citations), Environmental Engineering (41 citations), Atomic and Molecular Physics, and Optics (58 citations) and Computational Mathematics (1 citation). D. Xiao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Kaiwen Zhang, Zhiyan Zuo, Wei Yu, Renhe Zhang, Shilong Piao, Liang Qiao, Shou‐Jun Xiao, XiaoMin Yang, Zuhong Lu and I. Koltracht. Their work appears in journals such as The Journal of Physical Chemistry C, Journal of Climate, Physics Letters A, Ceramics International and Nature Communications.
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.