Seong‐Hun Lee

53 papers receiving 897 citations

Peers

Seong‐Hun Lee
Comparison fields: 5 of 106
  • Renewable Energy, Sustainability and the Environment 238
  • Computer Vision and Pattern Recognition 188
  • Media Technology 70
  • Electrical and Electronic Engineering 290
  • General Materials Science 14
Replace Zhiqian Chen with:
Zhiqian Chen United States
Fida Hussain China
Yongho Kim South Korea
Yousif Al Mashhadany Iraq
Jinyang Li China
Bohao Li China
Qian Sun China
Vijay Kakani South Korea
Seong‐Hun Lee relative to Zhiqian Chen United States Zhiqian Chen's profile →
Citations per field
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Zhiqian Chen · 1×
Citations per year

Countries citing papers authored by Seong‐Hun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Hun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020128
2 2012113
3 201584
4 201082
5 202345
6 200845
7 202338
8 202333
9 200732
10 202230
11 200628
12 201123
13 202220
14 200720
15 202019
16 200919
17 201317
18 201115
19 200911
20 200911

About Seong‐Hun Lee

Seong‐Hun Lee is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Vision and Pattern Recognition, Plant Science and Genetics, having authored 62 papers that have together received 929 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Handwritten Text Recognition Techniques (9 papers), CRISPR and Genetic Engineering (6 papers), Genetically Modified Organisms Research (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Photocatalysis Techniques (4 papers), Animal Genetics and Reproduction (4 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (238 citations), Computer Vision and Pattern Recognition (188 citations), Media Technology (70 citations), Electrical and Electronic Engineering (290 citations) and General Materials Science (14 citations). Seong‐Hun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jin Hyung Kim, Yongsoon Park, Seung‐Ki Sul, Gyu-Yong Kim, Gyeongcheol Choe, Kyomin Jung, Nenad Gucunski, Min Cho, Tae Joo Shin and Jin-Hyung Kim. Their work appears in journals such as Applied Catalysis B: Environmental, Journal of the Science of Food and Agriculture, Advanced Materials, Journal of Agricultural and Food Chemistry and Forests.

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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