June‐Yub Lee

45 papers receiving 1.6k citations

June‐Yub Lee's Hit Papers

Accelerating the Nonuniform Fast Fourier Transform 2004 · 568 citations
5680+7+14Years since publication100200300400500

Peers

June‐Yub Lee
Comparison fields: 5 of 70
  • Numerical Analysis 220
  • Computational Mechanics 389
  • Mathematical Physics 136
  • Applied Mathematics 136
  • Materials Chemistry 368
Replace D. Russell Luke with:
D. Russell Luke Germany
Albert Fannjiang United States
Daniel Potts Germany
Ronald H. Hardin United States
J. A. C. Weideman South Africa
Hongwei Cheng China
Ned Anderson United States
Nikolay A. Kudryashov Russia
Anna‐Karin Tornberg Sweden
Wei Cai United States
June‐Yub Lee relative to D. Russell Luke Germany D. Russell Luke's profile →
Citations per field
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D. Russell Luke · 1×
Citations per year

Countries citing papers authored by June‐Yub Lee

Since Specialization
Citations

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

Fields of papers citing papers by June‐Yub Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June‐Yub Lee. 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 June‐Yub Lee. The network helps show where June‐Yub Lee may publish in the future.

Co-authors

The 24 scholars most cited alongside June‐Yub Lee, 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 June‐Yub Lee Line = papers co-authored together June‐Yub Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Accelerating the Nonuniform Fast Fourier Transform
Hit paper breakdown →
2004568
2 2005157
3 201677
4 200370
5 201770
6 199668
7 201466
8 200253
9 201547
10 199744
11 201742
12 201740
13 201539
14 202132
15 200329
16 200429
17 200525
18 202025
19 199123
20 200623

About June‐Yub Lee

June‐Yub Lee is a scholar working on Numerical Analysis, Computational Mechanics, Mathematical Physics, Materials Chemistry and Applied Mathematics, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Solidification and crystal growth phenomena (13 papers), Electromagnetic Scattering and Analysis (8 papers), Numerical methods for differential equations (8 papers), Advanced Numerical Methods in Computational Mathematics (7 papers), Numerical methods in inverse problems (6 papers), Mathematical Analysis and Transform Methods (4 papers), Electrical and Bioimpedance Tomography (3 papers) and Digital Filter Design and Implementation (3 papers). The work is most often cited by research in Numerical Analysis (220 citations), Computational Mechanics (389 citations), Mathematical Physics (136 citations), Applied Mathematics (136 citations) and Materials Chemistry (368 citations). June‐Yub Lee has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Leslie Greengard, Hyun Geun Lee, Jaemin Shin, Oh In Kwon, Jeong‐Rock Yoon, Hyeonbae Kang, Eunjoo Kim, Michael J. Ward, Jin Keun Seo and Eung Je Woo. Their work appears in journals such as Journal of Computational Physics, Inverse Problems, Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications and Journal of Scientific Computing.

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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