Chen-Fatt Lim
Impact in
- Instrumentation top 5%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
- Astrophysics and Star Formation Studies
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
Papers in
-
- Galaxies: Formation, Evolution, Phenomena 7
- Astrophysics and Star Formation Studies 4
- Gamma-ray bursts and supernovae 2
- Stellar, planetary, and galactic studies 1
-
- Astronomy and Astrophysical Research 3
- Co-authors
- Wei-Hao Wang (7 shared papers)Tao Wang (2 shared papers)Xinwen Shu (2 shared papers)Yuta Yamaguchi (1 shared paper)M. Pannella (1 shared paper)Maximilien Franco (1 shared paper)Kotaro Kohno (1 shared paper)Yuki Yoshimura (1 shared paper)
- Journals
- The Astrophysical Journal (3 papers)Monthly Notices of the Royal Astronomical Society (2 papers)Nature (1 paper)The Astrophysical Journal Supplement Series (1 paper)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chen-Fatt Lim
7 papers receiving 173 citations
Peers
Comparison fields: 5 of 18
- Instrumentation 84
- Astronomy and Astrophysics 179
- Nuclear and High Energy Physics 33
- Atomic and Molecular Physics, and Optics 13
- Computer Vision and Pattern Recognition 4
Countries citing papers authored by Chen-Fatt Lim
This map shows the geographic impact of Chen-Fatt Lim'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 Chen-Fatt Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Fatt Lim more than expected).
Fields of papers citing papers by Chen-Fatt Lim
This network shows the impact of papers produced by Chen-Fatt Lim. 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 Chen-Fatt Lim. The network helps show where Chen-Fatt Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Fatt Lim, 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 | 2019 | 101 | |
| 2 | 2017 | 27 | |
| 3 | 2019 | 21 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2018 | 9 | |
| 7 | 2021 | 5 |
About Chen-Fatt Lim
Chen-Fatt Lim is a scholar working on Astronomy and Astrophysics, Instrumentation, Computer Vision and Pattern Recognition, Ecology and Nuclear and High Energy Physics, having authored 7 papers that have together received 185 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (7 papers), Astrophysics and Star Formation Studies (4 papers), Astronomy and Astrophysical Research (3 papers), Gamma-ray bursts and supernovae (2 papers), Stellar, planetary, and galactic studies (1 paper), Remote Sensing in Agriculture (1 paper), Astrophysics and Cosmic Phenomena (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Instrumentation (84 citations), Astronomy and Astrophysics (179 citations), Nuclear and High Energy Physics (33 citations), Atomic and Molecular Physics, and Optics (13 citations) and Computer Vision and Pattern Recognition (4 citations). Chen-Fatt Lim has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Wei-Hao Wang, Tao Wang, Xinwen Shu, Yuta Yamaguchi, M. Pannella, Maximilien Franco, Kotaro Kohno, Yuki Yoshimura, D. Elbaz and C. Schreiber. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society, Nature and The Astrophysical Journal Supplement Series.
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.