Daye Lim

543 citations
28 papers · 356 indexed · h-index 10

Impact in

Papers in

Daye Lim

24 papers receiving 297 citations

Peers

Daye Lim
Comparison fields: 5 of 40
  • Astronomy and Astrophysics 306
  • Artificial Intelligence 164
  • Computer Vision and Pattern Recognition 56
  • Oceanography 23
  • Renewable Energy, Sustainability and the Environment 30
Replace Yongyuan Xiang with:
Yongyuan Xiang China
Eunsu Park South Korea
I. Kontogiannis Greece
Sung‐Hong Park South Korea
Jordan A. Guerra United States
Shibu K. Mathew India
R. Volkmer Germany
Huadong Chen China
Xianyong Bai China
P. N. Bernasconi United States
Daye Lim relative to Yongyuan Xiang China Yongyuan Xiang's profile →
Citations per field
00.5×1.5×1.9×
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 201975
2 201868
3 201933
4 202124
5 202020
6 201319
7 202318
8 202015
9 202012
10 202412
11 20218
12 20198
13 20066
14 20186
15 20135
16 20244
17 20204
18 20224
19 20253
20 20232

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 356 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), Geophysics and Gravity Measurements (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Earthquake Detection and Analysis (2 papers). The work is most often cited by research in Astronomy and Astrophysics (306 citations), Artificial Intelligence (164 citations), Computer Vision and Pattern Recognition (56 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, Myungjin Choi, Kyung‐Suk Cho, Jin‐Yi Lee and Tom Van Doorsselaere. Their work appears in journals such as Astronomy and Astrophysics, The Astrophysical Journal, The Astrophysical Journal Letters, Nature Astronomy and The Journal of Laryngology & Otology.

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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