Chin‐Chun Wu
Impact in
- Astronomy and Astrophysics top 0.5%
- Solar and Space Plasma Dynamics
- Ionosphere and magnetosphere dynamics
- Astro and Planetary Science
- Stellar, planetary, and galactic studies
- Astrophysical Phenomena and Observations
- Gamma-ray bursts and supernovae
- Geophysics top 5%
- Earthquake Detection and Analysis
Papers in
-
- Solar and Space Plasma Dynamics 103
- Ionosphere and magnetosphere dynamics 96
- Astro and Planetary Science 38
- Stellar, planetary, and galactic studies 7
- Gamma-ray bursts and supernovae 7
- Galaxies: Formation, Evolution, Phenomena 6
Chin‐Chun Wu
113 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 51
- Astronomy and Astrophysics 3.5k
- Geophysics 394
- Molecular Biology 1.4k
- Nuclear and High Energy Physics 180
- Oceanography 139
Countries citing papers authored by Chin‐Chun Wu
This map shows the geographic impact of Chin‐Chun Wu'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 Chin‐Chun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Chun Wu more than expected).
Fields of papers citing papers by Chin‐Chun Wu
This network shows the impact of papers produced by Chin‐Chun Wu. 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 Chin‐Chun Wu. The network helps show where Chin‐Chun Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chin‐Chun Wu, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 13 | |
| 5 | 2016 | 11 | |
| 6 | 2015 | 36 | |
| 7 | 2015 | 32 | |
| 8 | 2014 | 14 | |
| 9 | 2012 | 3 | |
| 10 | 2011 | 77 | |
| 11 | 2010 | 21 | |
| 12 | 2008 | 6 | |
| 13 | 2007 | 11 | |
| 14 | A Scheme for finding the Front Boundary of an Interplanetary Magnetic Cloud | 2006 | 1 |
| 15 | Variations of magnetic clouds and CMEs with solar activity cycle | 2003 | 12 |
| 16 | Near Real Time Prediction of Magnetic Storm Intensity and Timing from Measurements of North to-South Interplanetary Magnetic Clouds | 2003 | 1 |
| 17 | 2002 | 61 | |
| 18 | 2001 | 94 | |
| 19 | 1997 | 16 | |
| 20 | 1988 | 3 |
About Chin‐Chun Wu
Chin‐Chun Wu is a scholar working on Astronomy and Astrophysics, Instrumentation, Molecular Biology, Geophysics and Oceanography, having authored 116 papers that have together received 3.5k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (103 papers), Ionosphere and magnetosphere dynamics (96 papers), Geomagnetism and Paleomagnetism Studies (44 papers), Astro and Planetary Science (38 papers), Stellar, planetary, and galactic studies (7 papers), Gamma-ray bursts and supernovae (7 papers), Earthquake Detection and Analysis (6 papers) and Galaxies: Formation, Evolution, Phenomena (6 papers). The work is most often cited by research in Astronomy and Astrophysics (3.5k citations), Geophysics (394 citations), Molecular Biology (1.4k citations), Nuclear and High Energy Physics (180 citations) and Oceanography (139 citations). Chin‐Chun Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include R. P. Lepping, K. Liou, D. B. Berdichevsky, G. P. Zank, Ken Rice, M. Dryer, R. P. Lepping, C. D. Fry, J. C. Kasper and B. J. Thompson. Their work appears in journals such as Solar Physics, Journal of Geophysical Research Atmospheres, The Astrophysical Journal, Annales Geophysicae and Journal of Atmospheric and Solar-Terrestrial Physics.
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.