T.-H. Chuang
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
- Theoretical and Computational Physics
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- Magnetic properties of thin films
- Quantum and electron transport phenomena
Papers in
-
- Magnetic properties of thin films 10
- Quantum and electron transport phenomena 6
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- Physics of Superconductivity and Magnetism 8
- Advanced Condensed Matter Physics 1
- Theoretical and Computational Physics 1
- Co-authors
- Kh. Zakeri (10 shared papers)J. Kirschner (10 shared papers)Y. Zhang (6 shared papers)Jiří Prokop (2 shared papers)Wenxin Tang (1 shared paper)Huajun Qin (6 shared papers)A. Ernst (6 shared papers)P. Buczek (3 shared papers)
- Journals
- Physical Review Letters (4 papers)Physical Review B (3 papers)Nature Communications (1 paper)Nature Nanotechnology (1 paper)Computers and Education Artificial Intelligence (1 paper)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
T.-H. Chuang
11 papers receiving 512 citations
Peers
Comparison fields: 5 of 32
- Condensed Matter Physics 324
- Atomic and Molecular Physics, and Optics 484
- Electronic, Optical and Magnetic Materials 215
- Structural Biology 11
- Health Informatics 2
Countries citing papers authored by T.-H. Chuang
This map shows the geographic impact of T.-H. Chuang'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 T.-H. Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.-H. Chuang more than expected).
Fields of papers citing papers by T.-H. Chuang
This network shows the impact of papers produced by T.-H. Chuang. 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 T.-H. Chuang. The network helps show where T.-H. Chuang may publish in the future.
Co-authors
The 18 scholars most cited alongside T.-H. Chuang, 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 | 2010 | 242 | |
| 2 | 2012 | 65 | |
| 3 | 2012 | 45 | |
| 4 | 2013 | 40 | |
| 5 | 2015 | 38 | |
| 6 | 2014 | 28 | |
| 7 | 2014 | 18 | |
| 8 | 2013 | 18 | |
| 9 | 2012 | 16 | |
| 10 | 2025 | 6 | |
| 11 | 2011 | 4 |
About T.-H. Chuang
T.-H. Chuang is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Electrical and Electronic Engineering, Health Informatics and Artificial Intelligence, having authored 11 papers that have together received 520 indexed citations. Recurring topics across this work include Magnetic properties of thin films (10 papers), Physics of Superconductivity and Magnetism (8 papers), Quantum and electron transport phenomena (6 papers), Advanced Condensed Matter Physics (1 paper), Magneto-Optical Properties and Applications (1 paper), Theoretical and Computational Physics (1 paper), Terahertz technology and applications (1 paper) and Ethics and Social Impacts of AI (1 paper). The work is most often cited by research in Condensed Matter Physics (324 citations), Atomic and Molecular Physics, and Optics (484 citations), Electronic, Optical and Magnetic Materials (215 citations), Structural Biology (11 citations) and Health Informatics (2 citations). T.-H. Chuang has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Kh. Zakeri, J. Kirschner, Y. Zhang, Jiří Prokop, Wenxin Tang, Huajun Qin, A. Ernst, P. Buczek, L. M. Sandratskii and Ying‐Jiun Chen. Their work appears in journals such as Physical Review Letters, Physical Review B, Nature Communications, Nature Nanotechnology and Computers and Education Artificial Intelligence.
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.