Guin-Dar Lin
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- Cold Atom Physics and Bose-Einstein Condensates 17
- Quantum optics and atomic interactions 12
- Quantum many-body systems 7
- Atomic and Subatomic Physics Research 5
- Strong Light-Matter Interactions 5
- Spectroscopy and Quantum Chemical Studies 4
- Artificial Intelligence top 1%
- Quantum Information and Cryptography 17
- Quantum Computing Algorithms and Architecture 5
- Condensed Matter Physics top 5%
- Co-authors
- C. MonroeRajibul IslamKihwan KimS. É. KorenblitE.E. EdwardsLuming DuanJ. K. FreericksM.-S. Chang
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Guin-Dar Lin
31 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Atomic and Molecular Physics, and Optics 1.5k
- Artificial Intelligence 935
- Condensed Matter Physics 301
- Statistical and Nonlinear Physics 203
- Acoustics and Ultrasonics 9
Countries citing papers authored by Guin-Dar Lin
This map shows the geographic impact of Guin-Dar Lin'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 Guin-Dar Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guin-Dar Lin more than expected).
Fields of papers citing papers by Guin-Dar Lin
This network shows the impact of papers produced by Guin-Dar Lin. 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 Guin-Dar Lin. The network helps show where Guin-Dar Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guin-Dar Lin, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 49 | |
| 10 | 2013 | 5 | |
| 11 | 2012 | 103 | |
| 12 | 2011 | 34 | |
| 13 | 2011 | 277 | |
| 14 | 2011 | 93 | |
| 15 | Quantum simulation of frustrated Ising spins with trapped ionsbreakdown → | 2010 | 540 |
| 16 | 2010 | 26 | |
| 17 | 2008 | 2 | |
| 18 | 2008 | 26 | |
| 19 | 2008 | 19 | |
| 20 | 2006 | 38 |
About Guin-Dar Lin
Guin-Dar Lin is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (17 papers), Quantum Information and Cryptography (17 papers), Quantum optics and atomic interactions (12 papers), Quantum many-body systems (7 papers), Atomic and Subatomic Physics Research (5 papers), Strong Light-Matter Interactions (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.5k citations), Artificial Intelligence (935 citations) and Condensed Matter Physics (301 citations). Guin-Dar Lin has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include C. Monroe, Rajibul Islam, Kihwan Kim, S. É. Korenblit, E.E. Edwards, Luming Duan, J. K. Freericks, M.-S. Chang, L.-M. Duan and H. J. Carmichael. Their work appears in journals such as Physical Review A, New Journal of Physics, Physical review. A, Physical Review Research and Physical Review Letters.
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.