Kai Hou Yip
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Astrophysics and Star Formation Studies
Papers in ⓘ
-
- Stellar, planetary, and galactic studies 10
- Astrophysics and Star Formation Studies 3
-
- Astronomy and Astrophysical Research 6
- Co-authors
- Quentin Changeat (10 shared papers)I. Waldmann (11 shared papers)A. F. Al-Refaie (7 shared papers)Billy Edwards (7 shared papers)G. Tinetti (6 shared papers)Angelos Tsiaras (6 shared papers)James Y‐K. Cho (3 shared papers)Olivia Vénot (3 shared papers)
- Journals
- The Astrophysical Journal Supplement Series (4 papers)The Astronomical Journal (2 papers)Monthly Notices of the Royal Astronomical Society (2 papers)The Astrophysical Journal (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Kai Hou Yip
15 papers receiving 140 citations
Peers
Comparison fields: 5 of 33
- Instrumentation 43
- Astronomy and Astrophysics 135
- Atmospheric Science 29
- Spectroscopy 26
- Statistical and Nonlinear Physics 8
Countries citing papers authored by Kai Hou Yip
This map shows the geographic impact of Kai Hou Yip'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 Kai Hou Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hou Yip more than expected).
Fields of papers citing papers by Kai Hou Yip
This network shows the impact of papers produced by Kai Hou Yip. 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 Kai Hou Yip. The network helps show where Kai Hou Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hou Yip, 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 | 2022 | 57 | |
| 2 | 2023 | 36 | |
| 3 | 2021 | 21 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 5 | |
| 8 | Integrating Light Curve and Atmospheric Modeling of Transiting Exoplanets | 2020 | 4 |
| 9 | 2025 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 |
About Kai Hou Yip
Kai Hou Yip is a scholar working on Astronomy and Astrophysics, Instrumentation, Spectroscopy, Atomic and Molecular Physics, and Optics and Atmospheric Science, having authored 16 papers that have together received 169 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (10 papers), Astronomy and Astrophysical Research (6 papers), Spectroscopy and Laser Applications (3 papers), Astrophysics and Star Formation Studies (3 papers), Atmospheric and Environmental Gas Dynamics (2 papers), Adaptive optics and wavefront sensing (2 papers), SAS software applications and methods (2 papers) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Instrumentation (43 citations), Astronomy and Astrophysics (135 citations), Atmospheric Science (29 citations), Spectroscopy (26 citations) and Statistical and Nonlinear Physics (8 citations). Kai Hou Yip has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Quentin Changeat, I. Waldmann, A. F. Al-Refaie, Billy Edwards, G. Tinetti, Angelos Tsiaras, James Y‐K. Cho, Olivia Vénot, S. Shibata and Michelle Fabienne Bieger. Their work appears in journals such as The Astrophysical Journal Supplement Series, The Astronomical Journal, Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal and IEEE Transactions on Neural Networks and Learning Systems.
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.