Jun-Yong Lee

28 papers receiving 346 citations

Peers

Jun-Yong Lee
Comparison fields: 5 of 70
  • Aerospace Engineering 165
  • Human-Computer Interaction 27
  • Control and Systems Engineering 76
  • Automotive Engineering 28
  • Cognitive Neuroscience 40
Replace Jianfeng Wu with:
Jianfeng Wu China
Jun Gao China
R.W. Albrecht United States
Xiaoke Yang China
Fang Xu United States
Tian Xia China
Tomoya Ishikawa Japan
Ahmed Ben Atitallah Tunisia
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Citations per year

Countries citing papers authored by Jun-Yong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Yong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Yong 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 Jun-Yong Lee. The network helps show where Jun-Yong Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201961
3 201455
4 201433
5 202328
6 202022
7 201911
8 20208
9 20218
10 20187
11 20226
12 20216
13 20216
14
Language learning strategies and tolerance of ambiguity of Korean midshipmen learning English as a foreign language
19986
15 20105
16
Problems Analysis and Revitalization Plan of Urban Development Projects by the Land Readjustment Method
20092
17 20192
18 20022
19 20142
20 20122

About Jun-Yong Lee

Jun-Yong Lee is a scholar working on Aerospace Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 352 indexed citations. Recurring topics across this work include Military Defense Systems Analysis (9 papers), Guidance and Control Systems (9 papers), Liquid Crystal Research Advancements (6 papers), Music and Audio Processing (3 papers), Quantum chaos and dynamical systems (3 papers), Speech and Audio Processing (3 papers), 2D Materials and Applications (2 papers) and Advanced Optical Imaging Technologies (2 papers). The work is most often cited by research in Aerospace Engineering (165 citations), Human-Computer Interaction (27 citations), Control and Systems Engineering (76 citations), Automotive Engineering (28 citations) and Cognitive Neuroscience (40 citations). Jun-Yong Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyeong-Geun Kim, H. Jin Kim, Jong‐Hyun Kim, Hwataik Han, Hyoung‐Gook Kim, Eckehard Steinbach, Clemens Schuwerk, Matti Strese, Jae Hoon Lee and Sangho Ko. Their work appears in journals such as Soft Matter, Scientific Reports, IEEE Transactions on Aerospace and Electronic Systems, Sensors and Nanoscale.

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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