Kuo-An Wu
Impact in
- Materials Chemistry top 10%
- Solidification and crystal growth phenomena
- Microstructure and mechanical properties
- Aerospace Engineering top 5%
- Aluminum Alloy Microstructure Properties
Papers in
-
- Solidification and crystal growth phenomena 14
- Microstructure and mechanical properties 3
-
- nanoparticles nucleation surface interactions 8
- Co-authors
- Alain Karma (5 shared papers)Peter W. Voorhees (6 shared papers)Ari Adland (1 shared paper)J.J. Hoyt (2 shared papers)Mark Asta (1 shared paper)Kun-kun Deng (1 shared paper)Mathis Plapp (1 shared paper)Kai-bo Nie (1 shared paper)
- Journals
- Physical Review B (4 papers)Physical review. E (4 papers)Acta Materialia (3 papers)Macromolecules (2 papers)Physical review. B. (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Kuo-An Wu
28 papers receiving 813 citations
Peers
Comparison fields: 5 of 64
- Materials Chemistry 653
- Aerospace Engineering 325
- Atmospheric Science 230
- Condensed Matter Physics 93
- Mechanical Engineering 245
Countries citing papers authored by Kuo-An Wu
This map shows the geographic impact of Kuo-An 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 Kuo-An Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo-An Wu more than expected).
Fields of papers citing papers by Kuo-An Wu
This network shows the impact of papers produced by Kuo-An 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 Kuo-An Wu. The network helps show where Kuo-An Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuo-An 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 144 | |
| 2 | 2007 | 143 | |
| 3 | 2011 | 86 | |
| 4 | 2014 | 75 | |
| 5 | 2006 | 59 | |
| 6 | 1997 | 53 | |
| 7 | 2009 | 47 | |
| 8 | 2010 | 40 | |
| 9 | 2016 | 33 | |
| 10 | 2013 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2010 | 19 | |
| 13 | 2000 | 18 | |
| 14 | 2022 | 14 | |
| 15 | 2019 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2012 | 5 | |
| 20 | 2017 | 4 |
About Kuo-An Wu
Kuo-An Wu is a scholar working on Materials Chemistry, Atmospheric Science, Condensed Matter Physics, Computational Mechanics and Computer Networks and Communications, having authored 30 papers that have together received 846 indexed citations. Recurring topics across this work include Solidification and crystal growth phenomena (14 papers), nanoparticles nucleation surface interactions (8 papers), Fluid Dynamics and Thin Films (7 papers), Theoretical and Computational Physics (5 papers), Aluminum Alloy Microstructure Properties (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Microstructure and mechanical properties (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Materials Chemistry (653 citations), Aerospace Engineering (325 citations), Atmospheric Science (230 citations), Condensed Matter Physics (93 citations) and Mechanical Engineering (245 citations). Kuo-An Wu has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Alain Karma, Peter W. Voorhees, Ari Adland, J.J. Hoyt, Mark Asta, Kun-kun Deng, Mathis Plapp, Kai-bo Nie, Xiaojun Wang and F.J. Xu. Their work appears in journals such as Physical Review B, Physical review. E, Acta Materialia, Macromolecules and Physical review. B..
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.