Kai Hou Yip
Impact in
- Astronomy and Astrophysics top 5%
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Space Science and Extraterrestrial Life
- Astrophysics and Star Formation Studies
- Gamma-ray bursts and supernovae
-
- Astronomy and Astrophysical Research
Papers in
-
- Stellar, planetary, and galactic studies 30
-
- Machine Learning and ELM 1
- Co-authors
- Quentin Changeat (15 shared papers)Ingo P. Waldmann (17 shared papers)Angelos Tsiaras (12 shared papers)G. Tinetti (9 shared papers)Billy Edwards (11 shared papers)Ahmed Faris Al-Refaie (10 shared papers)Mario Morvan (7 shared papers)Katy L. Chubb (2 shared papers)
- Journals
- The Astronomical Journal (11 papers)Monthly Notices of the Royal Astronomical Society (4 papers)The Astrophysical Journal Supplement Series (4 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)The Astrophysical Journal (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Kai Hou Yip
30 papers receiving 900 citations
Peers
Comparison fields: 5 of 11
- Astronomy and Astrophysics 896
- Instrumentation 7
- Spectroscopy 3
- Atmospheric Science 2
- Analytical Chemistry 1
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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 87 | |
| 2 | 2020 | 79 | |
| 3 | 2020 | 71 | |
| 4 | 2020 | 69 | |
| 5 | ARES I: WASP-76 b, A Tale of Two HST Spectra | 2020 | 60 |
| 6 | Hubble WFC3 Spectroscopy of the Habitable-zone Super-Earth LHS 1140 b | 2021 | 59 |
| 7 | 2021 | 57 | |
| 8 | 2020 | 56 | |
| 9 | 2023 | 53 | |
| 10 | 2020 | 49 | |
| 11 | On the Compatibility of Ground-based and Space-based Data: WASP-96 b, an Example | 2021 | 49 |
| 12 | 2020 | 38 | |
| 13 | 2020 | 33 | |
| 14 | 2024 | 32 | |
| 15 | 2020 | 26 | |
| 16 | ARES IV: Probing the Atmospheres of the Two Warm Small Planets HD 106315c and HD 3167c with the HST/WFC3 Camera | 2021 | 26 |
| 17 | 2021 | 25 | |
| 18 | 2023 | 20 | |
| 19 | 2024 | 13 | |
| 20 | 2023 | 11 |
About Kai Hou Yip
Kai Hou Yip is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 33 papers that have together received 964 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (30 papers) and Machine Learning and ELM (1 paper). The work is most often cited by research in Astronomy and Astrophysics (896 citations), Instrumentation (7 citations), Spectroscopy (3 citations), Atmospheric Science (2 citations) and Analytical Chemistry (1 citation). Kai Hou Yip has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Quentin Changeat, Ingo P. Waldmann, Angelos Tsiaras, G. Tinetti, Billy Edwards, Ahmed Faris Al-Refaie, Mario Morvan, Katy L. Chubb, Olivia Vénot and James Cho. Their work appears in journals such as The Astronomical Journal, Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal Supplement Series, IEEE Transactions on Neural Networks and Learning Systems and The Astrophysical Journal.
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.