Won‐Jong Lee

110 papers receiving 1.1k citations

Peers

Won‐Jong Lee
Comparison fields: 5 of 108
  • Computer Graphics and Computer-Aided Design 136
  • Food Science 227
  • Biochemistry 70
  • Computer Vision and Pattern Recognition 148
  • Nutrition and Dietetics 107
Replace Seungwon Shin with:
Seungwon Shin South Korea
Hoon Huh South Korea
J. Tan United States
Donglin Su China
H. Kitazawa Japan
José A. Martínez United States
Alan E. Bell United Kingdom
Mingcheng Zhang China
Jiwu Lu China
Won‐Jong Lee relative to Seungwon Shin South Korea Seungwon Shin's profile →
Citations per field
00.5×10×15×18.5×
Seungwon Shin · 1×
Citations per year

Countries citing papers authored by Won‐Jong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Jong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200160
2 201258
3 201357
4 201853
5 201153
6 199539
7 199739
8 201734
9 200230
10 199628
11 201626
12 201926
13
Preparation of Sikhe with Brown Rice
199825
14 200122
15 202020
16 201219
17 201619
18 201418
19
Preparation of high-fiber bread with barley flour
199617
20 201017

About Won‐Jong Lee

Won‐Jong Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 121 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), Semiconductor materials and devices (14 papers), Copper Interconnects and Reliability (14 papers), Ferroelectric and Piezoelectric Materials (14 papers), Advanced Vision and Imaging (13 papers), Metal and Thin Film Mechanics (12 papers), Food Quality and Safety Studies (11 papers) and Acoustic Wave Resonator Technologies (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (136 citations), Food Science (227 citations), Biochemistry (70 citations), Computer Vision and Pattern Recognition (148 citations) and Nutrition and Dietetics (107 citations). Won‐Jong Lee has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Ji Hwan Jeong, Jung-Ro Yoon, Hee Chul Lee, Oh Kyung Kwon, Jaewhan Kim, Soojung Ryu, Jinwoo Kim, Jae‐Ho Nah, Ya‐Fang Shang and Gaiping Zhang. Their work appears in journals such as Japanese Journal of Applied Physics, Thin Solid Films, Journal of Veterinary Science, International Journal of Heat and Mass Transfer and International Journal of Refrigeration.

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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