Changyi Tan
Impact in
- Astronomy and Astrophysics top 5%
- Solar and Space Plasma Dynamics
- Ionosphere and magnetosphere dynamics
- Astro and Planetary Science
- Stellar, planetary, and galactic studies
- Artificial Intelligence top 10%
- Solar Radiation and Photovoltaics
Papers in
-
- Solar and Space Plasma Dynamics 8
- Ionosphere and magnetosphere dynamics 5
- Stellar, planetary, and galactic studies 5
- Pulsars and Gravitational Waves Research 1
- Astro and Planetary Science 1
-
- Solar Radiation and Photovoltaics 3
- Co-authors
- Haimin Wang (8 shared papers)Ju Jing (6 shared papers)V. I. Abramenko (4 shared papers)Vasyl Yurchyshyn (2 shared papers)T. Wiegelmann (2 shared papers)Masahito Kubo (1 shared paper)Yuan Yuan (1 shared paper)Benjamin Wang (1 shared paper)
- Journals
- The Astrophysical Journal (5 papers)Solar Physics (2 papers)Chinese Astronomy and Astrophysics (1 paper)Science in China. Series G, Physics, mechanics & astronomy (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Changyi Tan
9 papers receiving 280 citations
Peers
Comparison fields: 5 of 21
- Astronomy and Astrophysics 266
- Artificial Intelligence 101
- Renewable Energy, Sustainability and the Environment 21
- Oceanography 15
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Changyi Tan
This map shows the geographic impact of Changyi 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 Changyi Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyi Tan more than expected).
Fields of papers citing papers by Changyi Tan
This network shows the impact of papers produced by Changyi 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 Changyi Tan. The network helps show where Changyi Tan may publish in the future.
Co-authors
The 17 scholars most cited alongside Changyi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 97 | |
| 2 | 2006 | 59 | |
| 3 | 2010 | 41 | |
| 4 | 2008 | 29 | |
| 5 | 2008 | 19 | |
| 6 | 2006 | 17 | |
| 7 | 2009 | 15 | |
| 8 | 2007 | 10 | |
| 9 | 2002 | 3 |
About Changyi Tan
Changyi Tan is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Molecular Biology, Oceanography and Genetics, having authored 9 papers that have together received 290 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (8 papers), Ionosphere and magnetosphere dynamics (5 papers), Stellar, planetary, and galactic studies (5 papers), Solar Radiation and Photovoltaics (3 papers), Geophysics and Gravity Measurements (1 paper), Pulsars and Gravitational Waves Research (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper) and Astro and Planetary Science (1 paper). The work is most often cited by research in Astronomy and Astrophysics (266 citations), Artificial Intelligence (101 citations), Renewable Energy, Sustainability and the Environment (21 citations), Oceanography (15 citations) and Computer Vision and Pattern Recognition (22 citations). Changyi Tan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Haimin Wang, Ju Jing, V. I. Abramenko, Vasyl Yurchyshyn, T. Wiegelmann, Masahito Kubo, Yuan Yuan, Benjamin Wang, Yan Xu and P. F. Chen. Their work appears in journals such as The Astrophysical Journal, Solar Physics, Chinese Astronomy and Astrophysics and Science in China. Series G, Physics, mechanics & astronomy.
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.