Min Won Lee

2.9k citations
103 papers · 2.1k · h-index 27

Impact in

Papers in

Min Won Lee

100 papers receiving 2.0k citations

Peers

Min Won Lee
Comparison fields: 5 of 104
  • Statistical and Nonlinear Physics 412
  • Nephrology 174
  • Computer Networks and Communications 527
  • Pulmonary and Respiratory Medicine 327
  • Electrical and Electronic Engineering 650
Replace Liangwei Wang with:
Liangwei Wang China
Giovanni Gregori United States
Kenji Nakagawa Japan
Paola Russo Italy
Yiren Chen China
H. Grote Germany
Kenji Hirata Japan
Xianfeng Li China
Jan Unkelbach Switzerland
Kevin Liu United States
Min Won Lee relative to Liangwei Wang China Liangwei Wang's profile →
Citations per field
00.5×10×12.5×
Liangwei Wang · 1×
Citations per year

Countries citing papers authored by Min Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Min Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Won 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 Min Won Lee. The network helps show where Min Won Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Min Won 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 Min Won Lee Line = papers co-authored together Min Won Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000184
2 2001107
3 200190
4 199090
5 199388
6 201176
7 200462
8 199759
9 200958
10 200555
11 200253
12 199949
13 201247
14 199844
15 201038
16 200438
17 200237
18 200537
19 200835
20 200434

About Min Won Lee

Min Won Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Surgery, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (23 papers), Advanced Fiber Laser Technologies (21 papers), Semiconductor Lasers and Optical Devices (19 papers), Chaos control and synchronization (18 papers), Photonic and Optical Devices (17 papers), Optical Network Technologies (16 papers), Advanced Fiber Optic Sensors (12 papers) and Neural Networks and Reservoir Computing (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (412 citations), Nephrology (174 citations), Computer Networks and Communications (527 citations), Pulmonary and Respiratory Medicine (327 citations) and Electrical and Electronic Engineering (650 citations). Min Won Lee has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include K.A. Shore, Richard J. Zarbo, Yanhua Hong, Jon Paul, Mahul B. Amin, P.S. Spencer, Laurent Larger, Nilesh Gupta, Joseph W. Lewis and Oleksandr N. Kryvenko. Their work appears in journals such as Optics Letters, Optics Express, IEEE Photonics Technology Letters, IEEE Journal of Quantum Electronics and Archives of Pathology & Laboratory Medicine.

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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