Daye Lim

561 citations
28 papers · 386 · h-index 10

Impact in

Papers in

Daye Lim

26 papers receiving 326 citations

Peers

Daye Lim
Comparison fields: 5 of 38
  • Astronomy and Astrophysics 331
  • Artificial Intelligence 175
  • Computer Vision and Pattern Recognition 65
  • Oceanography 23
  • Renewable Energy, Sustainability and the Environment 30
Replace Yongyuan Xiang with:
Yongyuan Xiang China
Eunsu Park South Korea
Eric L. Wagner United States
Xiantong Wang United States
I. Kontogiannis Germany
Huadong Chen China
Jean Aboudarham France
Shibu K. Mathew India
Jordan A. Guerra United States
Xianyong Bai China
Daye Lim relative to Yongyuan Xiang China Yongyuan Xiang's profile →
Citations per field
00.5×1.5×2.0×
Yongyuan Xiang · 1×
Citations per year

Countries citing papers authored by Daye Lim

Since Specialization
Citations

This map shows the geographic impact of Daye 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 Daye Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daye Lim more than expected).

Fields of papers citing papers by Daye Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daye 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 Daye Lim. The network helps show where Daye Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside Daye Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daye Lim Line = papers co-authored together Daye Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201877
3 201933
4 202127
5 202022
6 202320
7 201319
8 202015
9 202013
10 202412
11 20198
12 20218
13 20188
14 20066
15 20135
16 20205
17 20225
18 20244
19 20223
20 20253

About Daye Lim

Daye Lim is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Molecular Biology, Oceanography and Geophysics, having authored 28 papers that have together received 386 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (25 papers), Ionosphere and magnetosphere dynamics (12 papers), Solar Radiation and Photovoltaics (11 papers), Stellar, planetary, and galactic studies (10 papers), Geomagnetism and Paleomagnetism Studies (3 papers), Earthquake Detection and Analysis (2 papers), Geophysics and Gravity Measurements (2 papers) and Astro and Planetary Science (2 papers). The work is most often cited by research in Astronomy and Astrophysics (331 citations), Artificial Intelligence (175 citations), Computer Vision and Pattern Recognition (65 citations), Oceanography (23 citations) and Renewable Energy, Sustainability and the Environment (30 citations). Daye Lim has collaborated with scholars based in South Korea, United Kingdom and Belgium. Frequent co-authors include Yong‐Jae Moon, Eunsu Park, Harim Lee, Gyungin Shin, Il‐Hyun Cho, Tae Young Kim, Tom Van Doorsselaere, Sung‐Ho Bae, Kyung‐Suk Cho and D. Berghmans. Their work appears in journals such as Astronomy and Astrophysics, The Astrophysical Journal, The Astrophysical Journal Letters, The Astrophysical Journal Supplement Series and Journal of Atmospheric and Solar-Terrestrial Physics.

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.

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