Jin‐Gyu Lee

469 citations
26 papers · 368 · h-index 8

Impact in

Papers in

Jin‐Gyu Lee

20 papers receiving 365 citations

Peers

Jin‐Gyu Lee
Comparison fields: 5 of 44
  • Condensed Matter Physics 76
  • Biomedical Engineering 219
  • Mechanical Engineering 111
  • Control and Systems Engineering 53
  • Cellular and Molecular Neuroscience 37
Replace Maura Power with:
Maura Power United Kingdom
Jaewook Ryu South Korea
Urban Simu Sweden
Fumio Uchikoba Japan
Matthias Hütter Germany
Junmin Jiang China
Reza Saeidpourazar United States
Lucas A. Shaw United States
Goffredo Giordano Italy
Samira Chizari United States
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Citations per field
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Citations per year

Countries citing papers authored by Jin‐Gyu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Gyu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018148
2 202166
3 201233
4 202324
5 202118
6 202318
7 201917
8 20247
9 20147
10 20155
11 20154
12 20174
13 20213
14 20233
15 20193
16 20252
17 20142
18
Numerical Simulations of the Supersonic Jet Impingement in a Confined Plenum of Vertical Launching System
20061
19
Heat Transfer Characteristic of the Spiral Type Solar Chemical Reactor
20101
20 20111

About Jin‐Gyu Lee

Jin‐Gyu Lee is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Condensed Matter Physics, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 26 papers that have together received 368 indexed citations. Recurring topics across this work include Soft Robotics and Applications (7 papers), GaN-based semiconductor devices and materials (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Ga2O3 and related materials (4 papers), Dielectric materials and actuators (3 papers), Semiconductor materials and devices (3 papers), ZnO doping and properties (3 papers) and Engineering Applied Research (3 papers). The work is most often cited by research in Condensed Matter Physics (76 citations), Biomedical Engineering (219 citations), Mechanical Engineering (111 citations), Control and Systems Engineering (53 citations) and Cellular and Molecular Neuroscience (37 citations). Jin‐Gyu Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hugo Rodrigue, Hong‐Sub Lee, Mark C. Hersam, Hyung‐Kyu Lim, Leo Ling, Stephanie E. Liu, Vinod K. Sangwan, Sung‐Eun Kim, Taesoo Kim and Jung‐Hoon Song. Their work appears in journals such as Soft Robotics, Applied Physics Letters, International Journal of Precision Engineering and Manufacturing-Green Technology, physica status solidi (a) and International Journal of Energy Research.

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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